{
  "data": {
    "a": {
      "slug": "deepeval",
      "name": "DeepEval",
      "vendor": "Confident AI, Inc.",
      "vendorUrl": "https://www.confident-ai.com",
      "kind": "sdk",
      "category": "agent-observability",
      "summary": "DeepEval is an open-source Python and TypeScript framework from Confident AI for evaluating LLM applications and agents. Evaluations run locally through a pytest plugin and the `deepeval` CLI, with optional reporting to the hosted Confident AI platform.",
      "url": "https://www.anchorterminal.com/tools/deepeval",
      "markdownUrl": "https://www.anchorterminal.com/tools/deepeval.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepeval.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepeval.json",
      "repo": "https://github.com/confident-ai/deepeval",
      "license": "Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "deepeval"
        },
        {
          "registry": "npm",
          "name": "deepeval"
        }
      ],
      "auth": "mixed",
      "authNotes": "No credential is needed to run evaluations locally. Most metrics call an LLM judge, so the owner supplies a model provider key such as `OPENAI_API_KEY` in the environment or a dotenv file. Reporting to Confident AI needs a project API key in `CONFIDENT_API_KEY`. `deepeval login` pairs with a browser through a device code and writes the key to `.env.local`, and `deepeval login --api-key` takes an existing key for CI. Confident AI project keys are named, take an expiry, and can be deactivated, rotated with a grace period or deleted. No per-permission scopes for project keys were found in the page read.",
      "pricing": "freemium",
      "pricingNotes": "DeepEval is free under Apache 2.0 and runs without an account. LLM judge calls are billed by the owner's model provider. The hosted Confident AI platform has a Free plan with no card (5 test runs a week, 2 seats, 1 project, 1 GB-month of trace spans), Starter at $200 a month, Team at $2,000 a month, both with $1 per GB-month beyond the included trace spans, and Enterprise by quote (https://www.confident-ai.com/pricing).",
      "priceSummary": "$200 / mo",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the repository docs, the Confident AI docs index or the pricing page (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 18700,
        "npmWeekly": 35092,
        "pypiWeekly": 735637,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://deepeval.com/docs/getting-started",
      "llmsTxt": "https://deepeval.com/llms.txt",
      "capabilities": [
        "obs.evals",
        "obs.traces",
        "obs.datasets",
        "obs.prompts"
      ],
      "tags": [
        "open-source",
        "apache-2.0",
        "local",
        "cli",
        "python",
        "typescript",
        "pytest",
        "llms-txt",
        "agent-skills",
        "opentelemetry",
        "freemium",
        "no-card"
      ],
      "lastRelease": "2026-10-02",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.7,
        "grade": "B",
        "agentReady": false,
        "rank": 343,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 83,
          "payments": 60,
          "reliability": 59,
          "schema": 78,
          "security": 47,
          "transparency": 63
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": 0,
        "verdict": "DeepEval runs evaluations and tracing locally under Apache 2.0 with no account, and writes each test run to JSON or SQLite. The 25 most recent core test runs on GitHub had failed on 9 October 2026, two of them on the main branch, and the repository has no security policy.",
        "bestFor": "Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics.",
        "strengths": [
          "Apache-2.0 framework that runs evaluations and tracing locally with no account. Test runs are written to JSON files or a SQLite database on the owner's disk",
          "Python 4.2.8 was tagged on 2 October 2026, with 14 Python releases tagged since 9 August and TypeScript 0.9.21 on 30 September",
          "`deepeval test run` takes flags for parallel processes, repeats, a result cache, ignoring errors and skipping cases with missing parameters",
          "llms.txt on deepeval.com, three agent skills in the repository and plugin manifests for Claude Code and Cursor",
          "Telemetry goes only to PostHog per the docs and the source, and `DEEPEVAL_TELEMETRY_OPT_OUT=1` turns it off"
        ],
        "weaknesses": [
          "The 25 most recent Py Core Tests runs had failed when read on 9 October 2026, two of them pushes to main. Issue #3372 of 26 September reports the same",
          "No SECURITY.md, no published advisories and no security.txt on deepeval.com or confident-ai.com. The trust centre is drawn by script and was not read",
          "Release 4.2.0 reversed the score direction of four safety metrics in a minor version. The changelog marks it as breaking and the code warns at run time",
          "The 2026 changelog stops at 4.2.0 of 25 August. Releases 4.2.1 to 4.2.8 have no entries in it",
          "Usage telemetry is on by default and sends the public IP address. The source also sends the judge model, runtime kind and CLI command, which the docs list omits",
          "Confident AI's terms forbid using its services for competitive analysis. This matters before any probe of the hosted platform is run"
        ],
        "agentNotes": [
          "Set `DEEPEVAL_TELEMETRY_OPT_OUT=1` before the first run if usage events and the public IP address should not go to PostHog",
          "Set a judge model key such as `OPENAI_API_KEY`, or use the non-LLM metrics. Most metrics call an LLM judge and bill the owner's provider account",
          "Review thresholds for `BiasMetric`, `HallucinationMetric`, `MisuseMetric` and `ToxicityMetric` when upgrading past 4.2.0. Higher scores now mean better",
          "Read results from `.deepeval/.latest_run_full.json` or a `results_folder`. `deepeval inspect` opens a terminal interface meant for a person",
          "Pass an existing key with `deepeval login --api-key` in CI. Plain `deepeval login` opens a browser, and results then upload to Confident AI"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64.7
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 83,
          "payments": 60,
          "reliability": 59,
          "schema": 78,
          "security": 47,
          "transparency": 73
        },
        "provenanceScore": 52
      },
      "connect": {
        "install": "pip install -U deepeval"
      },
      "letme": {
        "capability": "https://letme.dev/obs.evals",
        "tool": "https://letme.dev/deepeval"
      },
      "area": "developer",
      "unitPrices": [
        {
          "item": "Confident AI Starter plan",
          "unit": "month",
          "usd": 200,
          "note": "Hosted platform, optional. Unlimited seats, 5 projects, 5 GB-months of trace spans"
        },
        {
          "item": "Confident AI Team plan",
          "unit": "month",
          "usd": 2000,
          "note": "Hosted platform, optional. Unlimited projects, 75 GB-months of trace spans"
        },
        {
          "item": "Confident AI trace spans beyond the plan",
          "unit": "gb-month",
          "usd": 1,
          "note": "Per GB-month ingested or retained on Starter and Team"
        }
      ],
      "provenance": {
        "legalEntity": "Confident AI, Inc.",
        "domain": "confident-ai.com",
        "domainRegistered": "2023-08-15",
        "endpointOnVendorDomain": true,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://deepeval.com/changelog",
        "securityTxt": "none",
        "checked": "2026-10-09",
        "notes": [
          "DeepEval is software the owner runs under the Apache-2.0 licence, which stands in for terms here. Confident AI's Terms of Service (https://www.confident-ai.com/terms) and privacy policy (https://www.confident-ai.com/privacy-policy) govern only the optional hosted platform that `deepeval login`, `view` and `gate` use, so they are not linked as this listing's terms.",
          "The Terms of Service (last modified 2 March 2026) name Confident AI, Inc., a Delaware corporation, with offices at 33rd 8th St, San Francisco, CA 94103, as printed on the page.",
          "The privacy policy (last modified 26 May 2026) says it does not apply to Customer Data, which Confident AI processes under its data processing agreement. A DPA and a sub-processor list are published at /dpa and /subprocessors-list.",
          "When logged in, DeepEval sends results to api.confident-ai.com or eu.api.confident-ai.com and traces to otel.confident-ai.com, all on the vendor's domain. Telemetry goes to us.i.posthog.com.",
          "https://www.confident-ai.com/.well-known/security.txt and https://deepeval.com/.well-known/security.txt both answered 404.",
          "No status page link was found on the pages read. The trust centre at trust.oneleet.com/confident-ai is drawn by script and was not read.",
          "RDAP gives 2023-08-15 as the registration date of confident-ai.com and 2023-07-15 for deepeval.com, both through NameCheap, Inc."
        ],
        "score": 52
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/deepeval.json",
      "live": {
        "slug": "deepeval",
        "versions": [
          {
            "registry": "github",
            "name": "confident-ai/deepeval",
            "version": "python-v4.2.4",
            "released": "2026-09-22",
            "seenAt": "2026-10-09T16:48:57.205584437Z"
          },
          {
            "registry": "npm",
            "name": "deepeval",
            "version": "0.9.22",
            "seenAt": "2026-10-09T16:48:56.771405961Z"
          },
          {
            "registry": "pypi",
            "name": "deepeval",
            "version": "4.2.8",
            "released": "2026-10-02",
            "seenAt": "2026-10-09T16:48:56.555388028Z"
          }
        ],
        "githubStars": 18722,
        "npmWeekly": 35092,
        "pypiWeekly": 735637,
        "pages": [
          {
            "url": "https://deepeval.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-09T18:34:45.297656608Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "5c04fa001f0e"
          },
          {
            "url": "https://www.confident-ai.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-09T18:49:15.052218782Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "f37a25bd3065"
          }
        ],
        "updatedAt": "2026-10-09T18:49:15.052218782Z"
      }
    },
    "answer": "DeepEval scores 64.7 (B) on agent readiness against Galileo API + MCP's 47.7 (D), and leads in 5 of 7 scored categories.",
    "b": {
      "slug": "galileo",
      "name": "Galileo API + MCP",
      "vendor": "Galileo (now Splunk Agent Observability, Cisco)",
      "vendorUrl": "https://galileo.ai",
      "kind": "http-api",
      "category": "agent-observability",
      "summary": "Hosted tracing, evaluation metrics and guardrails for LLM apps and agents, with a REST API, Python and TypeScript SDKs and an 8-tool MCP server in preview.",
      "url": "https://www.anchorterminal.com/tools/galileo",
      "markdownUrl": "https://www.anchorterminal.com/tools/galileo.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/galileo.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/galileo.json",
      "repo": "https://github.com/rungalileo/galileo-python",
      "license": "Apache-2.0 (SDKs only, platform closed source)",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.galileo.ai/v2",
      "packages": [
        {
          "registry": "pypi",
          "name": "galileo"
        },
        {
          "registry": "npm",
          "name": "galileo"
        }
      ],
      "auth": "api-key",
      "authNotes": "API key in a header. The current OpenAPI spec names it `Splunk-AO-API-Key` and older Galileo docs `Galileo-API-Key`. The API also issues a JWT from `/login/api_key` that expires after 24 hours and accepts HTTP Basic with a username and password. The MCP server takes the same API key header. New SaaS accounts on Splunk Observability Cloud use `https://app.{realm}.observability.splunkcloud.com/ao/api/` and Splunk's own authentication. Self-hosted deployments use their own api.* host.",
      "pricing": "freemium",
      "pricingNotes": "Free plan with 5,000 traces a month, unlimited users and unlimited custom evals. Pro $100 a month billed yearly with 50,000 traces, then priced by trace volume with no published rate. Enterprise is custom with unlimited traces, custom rate limits and hosted, VPC or on-prem deployment. The pricing page doesn't mention Splunk, but the docs say customers onboarded after 2026-08-07 should use the Splunk docs (https://galileo.ai/pricing).",
      "priceSummary": "$100 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 support in docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": 8,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 1431,
        "pypiWeekly": 6160,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.galileo.ai",
      "llmsTxt": "https://docs.galileo.ai/llms.txt",
      "openapi": "https://api.galileo.ai/public/v2/openapi.json",
      "capabilities": [
        "obs.traces",
        "obs.evals",
        "obs.prompts",
        "obs.datasets"
      ],
      "tags": [
        "hosted",
        "freemium",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "closed-source",
        "enterprise"
      ],
      "lastRelease": "2026-10-01",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 47.7,
        "grade": "D",
        "agentReady": false,
        "rank": 828,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 14,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 73,
          "maintenance": 74,
          "payments": 20,
          "reliability": 18,
          "schema": 79,
          "security": 33,
          "transparency": 53
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "OpenAPI 3.1 spec with 184 paths and 244 operations. No status page, no published rate limits and no SLA.",
        "bestFor": "Existing Galileo customers and teams already on Splunk Observability Cloud who want eval metrics and guardrails next to their infrastructure monitoring.",
        "strengths": [
          "OpenAPI 3.1 spec with 184 paths and 244 operations",
          "Error catalogue of 111 entries with HTTP status, fix and a retriable flag",
          "Free plan with 5,000 traces a month and unlimited users",
          "TypeScript SDK released three times in September 2026, most recently 2.3.2 on 1 October",
          "Enterprise deployment in your VPC or on-prem"
        ],
        "weaknesses": [
          "No status page, no published rate limits and no SLA",
          "Split between Galileo and Splunk since 7 August 2026, with two doc sites, two API hosts and no timeline for the old ones",
          "MCP server in preview with 8 tools, only `Get Signals` reads production data",
          "No security page, trust portal, security.txt or certification claim found, and the privacy policy dates from November 2024",
          "Python SDK quiet since 30 July and its CHANGELOG.md stuck at v0.10.0"
        ],
        "agentNotes": [
          "Check which side the account lives on first. Pre-August Galileo accounts use api.galileo.ai, Splunk SaaS accounts use app.{realm}.observability.splunkcloud.com/ao/api/",
          "Send the key as `Splunk-AO-API-Key`. The current spec no longer lists `Galileo-API-Key`",
          "Page list endpoints with `limit` and `starting_token`",
          "Use the error catalogue's retriable flag to decide whether to retry. 429s carry no documented `Retry-After`",
          "Use the REST API to read traces. The MCP server mostly creates datasets and prompts"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 47.7
          }
        ],
        "editorialScores": {
          "ergonomics": 73,
          "maintenance": 74,
          "payments": 20,
          "reliability": 18,
          "schema": 79,
          "security": 33,
          "transparency": 36
        },
        "provenanceScore": 70
      },
      "connect": {
        "http": "curl https://api.galileo.ai/v2/current_user -H \"Galileo-API-Key: $GALILEO_API_KEY\"",
        "claudeCode": "claude mcp add --transport http --header \"Galileo-API-Key: $GALILEO_API_KEY\" galileo https://api.galileo.ai/mcp/http/mcp",
        "config": {
          "mcpServers": {
            "galileo": {
              "headers": {
                "Accept": "text/event-stream",
                "Galileo-API-Key": "${GALILEO_API_KEY}"
              },
              "type": "http",
              "url": "https://api.galileo.ai/mcp/http/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/obs.traces",
        "tool": "https://letme.dev/galileo"
      },
      "alsoIn": [
        "guardrails"
      ],
      "area": "developer",
      "unitPrices": [
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 100,
          "note": "billed yearly, 50,000 traces a month"
        }
      ],
      "provenance": {
        "legalEntity": "Galileo Technologies, Inc.",
        "domain": "galileo.ai",
        "domainRegistered": "2020-05-05",
        "endpointOnVendorDomain": true,
        "terms": "https://galileo.ai/terms-of-service",
        "privacy": "https://galileo.ai/privacy-policy",
        "statusPage": "",
        "changelog": "https://docs.galileo.ai/release-notes",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "Now owned by Cisco and sold as Splunk Agent Observability; the terms still name Galileo Technologies, Inc."
        ],
        "score": 70
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/galileo.json",
      "live": {
        "slug": "galileo",
        "probe": {
          "target": "https://api.galileo.ai/v2",
          "method": "get",
          "lastAt": "2026-10-10T02:54:56.187558958Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 173,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 99.68,
          "p50ms24h": 161,
          "p95ms24h": 273,
          "samples24h": 249,
          "samples30d": 2466,
          "days": [
            {
              "date": "2026-09-30",
              "probes": 35,
              "ok": 35
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 247
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 270
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 271
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 269
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 271
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 30,
              "ok": 30
            }
          ]
        },
        "versions": [
          {
            "registry": "github",
            "name": "rungalileo/galileo-python",
            "version": "v2.6.0",
            "released": "2026-07-30",
            "seenAt": "2026-10-09T16:54:17.049929312Z"
          },
          {
            "registry": "npm",
            "name": "galileo",
            "version": "2.3.2",
            "seenAt": "2026-10-09T16:54:16.226518355Z"
          },
          {
            "registry": "pypi",
            "name": "galileo",
            "version": "2.6.0",
            "released": "2026-07-30",
            "seenAt": "2026-10-09T16:54:16.034194392Z"
          }
        ],
        "githubStars": 22,
        "npmWeekly": 1406,
        "pypiWeekly": 11630,
        "securityTxt": {
          "url": "https://galileo.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-09T15:39:49.194165243Z"
        },
        "llmsTxt": {
          "url": "https://docs.galileo.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-09T14:01:59.883164901Z"
        },
        "domain": {
          "domain": "galileo.ai",
          "registered": "2020-05-05",
          "source": "https://rdap.identitydigital.services/rdap/domain/galileo.ai",
          "checkedAt": "2026-10-04T13:06:13.135112782Z"
        },
        "pages": [
          {
            "url": "https://docs.galileo.ai/release-notes",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-09T18:37:22.287102796Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "0771d4784c19"
          },
          {
            "url": "https://galileo.ai/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-09T18:39:44.430026002Z",
            "changedAt": "2026-10-07T18:06:20.342963869Z",
            "fingerprint": "bf2bb1ef2d5a"
          },
          {
            "url": "https://galileo.ai/privacy-policy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-09T18:39:46.496485164Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "0a4347a8061e"
          },
          {
            "url": "https://galileo.ai/terms-of-service",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-09T18:39:49.197536156Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "fe70a53f84a7"
          }
        ],
        "updatedAt": "2026-10-10T02:54:56.187558958Z"
      }
    },
    "facts": [
      {
        "a": "SDK + MCP",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Confident AI, Inc.",
        "b": "Galileo (now Splunk Agent Observability, Cisco)",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.galileo.ai/v2",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms",
        "b": "Apache-2.0 (SDKs only, platform closed source)",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "8",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-02",
        "b": "2026-10-01",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2024-11-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "19k stars, 35k npm/wk, 736k PyPI/wk",
        "b": "1.4k npm/wk, 6.2k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "2.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "DeepEval scores 64.7 (B) on agent readiness against Galileo API + MCP's 47.7 (D), and leads in 5 of 7 scored categories.",
        "question": "Which is better for AI agents, DeepEval or Galileo API + MCP?"
      },
      {
        "answer": "No hosted endpoint is listed for DeepEval. Galileo API + MCP has a hosted endpoint at https://api.galileo.ai/v2.",
        "question": "Can an agent call DeepEval and Galileo API + MCP without installing anything?"
      },
      {
        "answer": "DeepEval is open source (Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms). No open-source release is listed for Galileo API + MCP.",
        "question": "Are DeepEval and Galileo API + MCP open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 59 against 18",
          "Security \u0026 auth, 47 against 33",
          "Payments \u0026 pricing, 60 against 20",
          "Maintenance \u0026 community, 83 against 74",
          "Transparency \u0026 trust, 63 against 53"
        ],
        "also": [
          "Free to start without a card",
          "Open source"
        ],
        "goodFor": "Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics.",
        "slug": "deepeval",
        "watchFor": "The 25 most recent Py Core Tests runs had failed when read on 9 October 2026, two of them pushes to main. Issue #3372 of 26 September reports the same"
      },
      {
        "aheadOn": null,
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "Existing Galileo customers and teams already on Splunk Observability Cloud who want eval metrics and guardrails next to their infrastructure monitoring.",
        "slug": "galileo",
        "watchFor": "No status page, no published rate limits and no SLA"
      }
    ],
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      "name": "Evaluations"
    },
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        "json": "https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval.json",
        "title": "Arize Phoenix vs DeepEval",
        "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval"
      },
      {
        "json": "https://www.anchorterminal.com/compare/arize-phoenix-vs-galileo.json",
        "title": "Arize Phoenix vs Galileo API + MCP",
        "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-galileo"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-deepeval.json",
        "title": "Baserun vs DeepEval",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-deepeval"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-galileo.json",
        "title": "Baserun vs Galileo API + MCP",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-galileo"
      },
      {
        "json": "https://www.anchorterminal.com/compare/braintrust-vs-deepeval.json",
        "title": "Braintrust API + MCP vs DeepEval",
        "url": "https://www.anchorterminal.com/compare/braintrust-vs-deepeval"
      },
      {
        "json": "https://www.anchorterminal.com/compare/braintrust-vs-galileo.json",
        "title": "Braintrust API + MCP vs Galileo API + MCP",
        "url": "https://www.anchorterminal.com/compare/braintrust-vs-galileo"
      },
      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-helicone.json",
        "title": "Galileo API + MCP vs Helicone AI Gateway + MCP",
        "url": "https://www.anchorterminal.com/compare/galileo-vs-helicone"
      },
      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-honeyhive.json",
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        "url": "https://www.anchorterminal.com/compare/galileo-vs-laminar"
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      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-langfuse.json",
        "title": "Galileo API + MCP vs Langfuse API + MCP",
        "url": "https://www.anchorterminal.com/compare/galileo-vs-langfuse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-langsmith.json",
        "title": "Galileo API + MCP vs LangSmith API + MCP",
        "url": "https://www.anchorterminal.com/compare/galileo-vs-langsmith"
      },
      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-langwatch.json",
        "title": "Galileo API + MCP vs LangWatch",
        "url": "https://www.anchorterminal.com/compare/galileo-vs-langwatch"
      },
      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing.json",
        "title": "Galileo API + MCP vs MLflow Tracing",
        "url": "https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing"
      },
      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-prefactor.json",
        "title": "Galileo API + MCP vs Prefactor",
        "url": "https://www.anchorterminal.com/compare/galileo-vs-prefactor"
      },
      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-pydantic-logfire.json",
        "title": "Galileo API + MCP vs Pydantic Logfire",
        "url": "https://www.anchorterminal.com/compare/galileo-vs-pydantic-logfire"
      },
      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-respan.json",
        "title": "Galileo API + MCP vs Respan API + MCP",
        "url": "https://www.anchorterminal.com/compare/galileo-vs-respan"
      },
      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-wandb-weave.json",
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        "url": "https://www.anchorterminal.com/compare/galileo-vs-wandb-weave"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-helicone.json",
        "title": "DeepEval vs Helicone AI Gateway + MCP",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-helicone"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.json",
        "title": "DeepEval vs HoneyHive",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-laminar.json",
        "title": "DeepEval vs Laminar API + MCP",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-laminar"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-langfuse.json",
        "title": "DeepEval vs Langfuse API + MCP",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-langfuse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-langsmith.json",
        "title": "DeepEval vs LangSmith API + MCP",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-langsmith"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-langwatch.json",
        "title": "DeepEval vs LangWatch",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-langwatch"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.json",
        "title": "DeepEval vs MLflow Tracing",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-prefactor.json",
        "title": "DeepEval vs Prefactor",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-prefactor"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire.json",
        "title": "DeepEval vs Pydantic Logfire",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-respan.json",
        "title": "DeepEval vs Respan API + MCP",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-respan"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave.json",
        "title": "DeepEval vs W\u0026B Weave",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave"
      }
    ],
    "scores": [
      {
        "by": 41,
        "deepeval": 59,
        "edge": "deepeval",
        "galileo": 18,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 1,
        "deepeval": 78,
        "edge": "galileo",
        "galileo": 79,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 1,
        "deepeval": 72,
        "edge": "galileo",
        "galileo": 73,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 14,
        "deepeval": 47,
        "edge": "deepeval",
        "galileo": 33,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 40,
        "deepeval": 60,
        "edge": "deepeval",
        "galileo": 20,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 9,
        "deepeval": 83,
        "edge": "deepeval",
        "galileo": 74,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 10,
        "deepeval": 63,
        "edge": "deepeval",
        "galileo": 53,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "DeepEval scores 64.7 (B) on agent readiness against Galileo API + MCP's 47.7 (D), and leads in 5 of 7 scored categories. Both do evaluations.",
    "verdicts": {
      "deepeval": "DeepEval runs evaluations and tracing locally under Apache 2.0 with no account, and writes each test run to JSON or SQLite. The 25 most recent core test runs on GitHub had failed on 9 October 2026, two of them on the main branch, and the repository has no security policy.",
      "galileo": "OpenAPI 3.1 spec with 184 paths and 244 operations. No status page, no published rate limits and no SLA."
    }
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  "markdown": "DeepEval scores 64.7 (B) on agent readiness against Galileo API + MCP's 47.7 (D), and leads in 5 of 7 scored categories. Both do evaluations.\n\n- DeepEval: grade B, 64.7/100, rank #343 of 950. Markdown https://www.anchorterminal.com/tools/deepeval.md · JSON https://www.anchorterminal.com/api/v1/tools/deepeval.json\n- Galileo API + MCP: grade D, 47.7/100, rank #828 of 950. Markdown https://www.anchorterminal.com/tools/galileo.md · JSON https://www.anchorterminal.com/api/v1/tools/galileo.json\n- Best agent tracing, monitoring and evaluation tools: https://www.anchorterminal.com/best/agent-observability/index.md\n- All 120 evals comparisons: https://www.anchorterminal.com/compare/agent-observability/index.md\n- Best guardrails and safety filters for AI agents: https://www.anchorterminal.com/best/guardrails/index.md\n- All 118 guardrails comparisons: https://www.anchorterminal.com/compare/guardrails/index.md\n\n## Which one, for what\n\n### DeepEval (B)\n\nGood for: Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics.\n\nAhead on:\n- Reliability, 59 against 18\n- Security \u0026 auth, 47 against 33\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 83 against 74\n- Transparency \u0026 trust, 63 against 53\n\nAlso in its favour:\n- Free to start without a card\n- Open source\n\nWatch for: The 25 most recent Py Core Tests runs had failed when read on 9 October 2026, two of them pushes to main. Issue #3372 of 26 September reports the same\n\n### Galileo API + MCP (D)\n\nGood for: Existing Galileo customers and teams already on Splunk Observability Cloud who want eval metrics and guardrails next to their infrastructure monitoring.\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: No status page, no published rate limits and no SLA\n\n\n## Score by category\n\n| Category | Weight | DeepEval | Galileo API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 59 | 18 | DeepEval +41 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 79 | Galileo API + MCP +1 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 73 | Galileo API + MCP +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 47 | 33 | DeepEval +14 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 20 | DeepEval +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 74 | DeepEval +9 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 53 | DeepEval +10 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.7 · B** | **47.7 · D** | |\n\n## Facts side by side\n\n| Fact | DeepEval | Galileo API + MCP |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | Confident AI, Inc. | Galileo (now Splunk Agent Observability, Cisco) |\n| Hosted endpoint | no (local only) | `https://api.galileo.ai/v2` |\n| Transports |  | HTTP, Streamable HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms | Apache-2.0 (SDKs only, platform closed source) |\n| Tools exposed | none | 8 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-02 | 2026-10-01 |\n| Terms last updated | no document linked | no date given |\n| Privacy policy last updated | no document linked | 2024-11-01 |\n| Customer content may train models |  | yes |\n| Terms restrict automated access |  | not found in the text |\n| Terms restrict benchmarking |  | yes |\n| Terms or service can change without notice |  | not found in the text |\n| Arbitration or class-action waiver |  | yes |\n| Popularity | 19k stars, 35k npm/wk, 736k PyPI/wk | 1.4k npm/wk, 6.2k PyPI/wk |\n| Agent reviews | none | 2.5/5 (2) |\n\n## Verdicts\n\n**DeepEval.** DeepEval runs evaluations and tracing locally under Apache 2.0 with no account, and writes each test run to JSON or SQLite. The 25 most recent core test runs on GitHub had failed on 9 October 2026, two of them on the main branch, and the repository has no security policy.\n\n**Galileo API + MCP.** OpenAPI 3.1 spec with 184 paths and 244 operations. No status page, no published rate limits and no SLA.\n\n## Before you call either\n\n### DeepEval\n\n1. Set `DEEPEVAL_TELEMETRY_OPT_OUT=1` before the first run if usage events and the public IP address should not go to PostHog\n2. Set a judge model key such as `OPENAI_API_KEY`, or use the non-LLM metrics. Most metrics call an LLM judge and bill the owner's provider account\n3. Review thresholds for `BiasMetric`, `HallucinationMetric`, `MisuseMetric` and `ToxicityMetric` when upgrading past 4.2.0. Higher scores now mean better\n4. Read results from `.deepeval/.latest_run_full.json` or a `results_folder`. `deepeval inspect` opens a terminal interface meant for a person\n5. Pass an existing key with `deepeval login --api-key` in CI. Plain `deepeval login` opens a browser, and results then upload to Confident AI\n\n### Galileo API + MCP\n\n1. Check which side the account lives on first. Pre-August Galileo accounts use api.galileo.ai, Splunk SaaS accounts use app.{realm}.observability.splunkcloud.com/ao/api/\n2. Send the key as `Splunk-AO-API-Key`. The current spec no longer lists `Galileo-API-Key`\n3. Page list endpoints with `limit` and `starting_token`\n4. Use the error catalogue's retriable flag to decide whether to retry. 429s carry no documented `Retry-After`\n5. Use the REST API to read traces. The MCP server mostly creates datasets and prompts\n\n## Questions\n\n### Which is better for AI agents, DeepEval or Galileo API + MCP?\n\nDeepEval scores 64.7 (B) on agent readiness against Galileo API + MCP's 47.7 (D), and leads in 5 of 7 scored categories.\n\n### Can an agent call DeepEval and Galileo API + MCP without installing anything?\n\nNo hosted endpoint is listed for DeepEval. Galileo API + MCP has a hosted endpoint at https://api.galileo.ai/v2.\n\n### Are DeepEval and Galileo API + MCP open source?\n\nDeepEval is open source (Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms). No open-source release is listed for Galileo API + MCP.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepeval-vs-galileo.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepeval-vs-galileo.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepeval\", \"b\": \"galileo\"}`. From a terminal: `anchor compare deepeval galileo`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepeval.json and https://www.anchorterminal.com/api/v1/tools/galileo.json\n\n## Other comparisons with DeepEval or Galileo API + MCP\n\n- [Arize Phoenix vs DeepEval](https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval.md)\n- [Arize Phoenix vs Galileo API + MCP](https://www.anchorterminal.com/compare/arize-phoenix-vs-galileo.md)\n- [Baserun vs DeepEval](https://www.anchorterminal.com/compare/baserun-vs-deepeval.md)\n- [Baserun vs Galileo API + MCP](https://www.anchorterminal.com/compare/baserun-vs-galileo.md)\n- [Braintrust API + MCP vs DeepEval](https://www.anchorterminal.com/compare/braintrust-vs-deepeval.md)\n- [Braintrust API + MCP vs Galileo API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-galileo.md)\n- [Galileo API + MCP vs Helicone AI Gateway + MCP](https://www.anchorterminal.com/compare/galileo-vs-helicone.md)\n- [Galileo API + MCP vs HoneyHive](https://www.anchorterminal.com/compare/galileo-vs-honeyhive.md)\n- [Galileo API + MCP vs Laminar API + MCP](https://www.anchorterminal.com/compare/galileo-vs-laminar.md)\n- [Galileo API + MCP vs Langfuse API + MCP](https://www.anchorterminal.com/compare/galileo-vs-langfuse.md)\n- [Galileo API + MCP vs LangSmith API + MCP](https://www.anchorterminal.com/compare/galileo-vs-langsmith.md)\n- [Galileo API + MCP vs LangWatch](https://www.anchorterminal.com/compare/galileo-vs-langwatch.md)\n- [Galileo API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing.md)\n- [Galileo API + MCP vs Prefactor](https://www.anchorterminal.com/compare/galileo-vs-prefactor.md)\n- [Galileo API + MCP vs Pydantic Logfire](https://www.anchorterminal.com/compare/galileo-vs-pydantic-logfire.md)\n- [Galileo API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/galileo-vs-respan.md)\n- [Galileo API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/galileo-vs-wandb-weave.md)\n- [DeepEval vs Helicone AI Gateway + MCP](https://www.anchorterminal.com/compare/deepeval-vs-helicone.md)\n- [DeepEval vs HoneyHive](https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.md)\n- [DeepEval vs Laminar API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-laminar.md)\n- [DeepEval vs Langfuse API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-langfuse.md)\n- [DeepEval vs LangSmith API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-langsmith.md)\n- [DeepEval vs LangWatch](https://www.anchorterminal.com/compare/deepeval-vs-langwatch.md)\n- [DeepEval vs MLflow Tracing](https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.md)\n- [DeepEval vs Prefactor](https://www.anchorterminal.com/compare/deepeval-vs-prefactor.md)\n- [DeepEval vs Pydantic Logfire](https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire.md)\n- [DeepEval vs Respan API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-respan.md)\n- [DeepEval vs W\u0026B Weave](https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave.md)\n",
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