{
  "data": {
    "a": {
      "slug": "baserun",
      "name": "Baserun",
      "vendor": "Baserun",
      "vendorUrl": "https://baserun.ai",
      "kind": "http-api",
      "category": "agent-observability",
      "summary": "Discontinued LLM testing and monitoring platform with Python and JavaScript SDKs for tracing model calls.",
      "url": "https://www.anchorterminal.com/tools/baserun",
      "markdownUrl": "https://www.anchorterminal.com/tools/baserun.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/baserun.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/baserun.json",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://app.baserun.ai",
      "packages": [
        {
          "registry": "pypi",
          "name": "baserun"
        },
        {
          "registry": "npm",
          "name": "baserun"
        }
      ],
      "auth": "api-key",
      "authNotes": "`BASERUN_API_KEY` per project, read by the SDKs. No service is left to accept it.",
      "pricing": "freemium",
      "pricingNotes": "No longer sold. The last archived pricing page listed Starter free with 10,000 traces a month, 7 days of retention and 2 users, Pro $49 a seat with 100,000 traces then $10 per 10,000 and 30 days of retention, and Enterprise custom (https://web.archive.org/web/20240718042849/https://www.baserun.ai/pricing).",
      "priceSummary": "$49 / seat-mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 115,
        "pypiWeekly": 209,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.baserun.ai",
      "capabilities": [
        "obs.traces",
        "obs.evals",
        "obs.prompts"
      ],
      "tags": [
        "closed-source",
        "retired",
        "python",
        "typescript"
      ],
      "lastRelease": "2024-06-26",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 7,
        "grade": "F",
        "agentReady": false,
        "rank": 0,
        "ranked": false,
        "notRankedWhy": "Shut down 2024-09-30, so out of the ranking",
        "rankOf": 950,
        "categoryRank": 16,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 5,
          "maintenance": 0,
          "payments": 0,
          "reliability": 0,
          "schema": 15,
          "security": 5,
          "transparency": 33
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "high",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "SDKs were MIT licensed and the Python source is still public at github.com/baserun-ai/baserun-py. Service offline since late 2024. api.baserun.ai doesn't resolve and app.baserun.ai serves an expired certificate.",
        "strengths": [
          "SDKs were MIT licensed and the Python source is still public at github.com/baserun-ai/baserun-py",
          "Docs remain readable at docs.baserun.ai, with an llms.txt index of 37 pages, for anyone migrating old code"
        ],
        "weaknesses": [
          "Service offline since late 2024. api.baserun.ai doesn't resolve and app.baserun.ai serves an expired certificate",
          "No shutdown notice on the docs, the homepage or either package, and neither package is marked deprecated",
          "Python SDK defaults to https://app.baserun.ai, so old installs keep trying to send trace data there",
          "No announced data export, deletion statement or migration path",
          "Last SDK releases were PyPI 2.0.9 on 2024-06-26 and npm 2.1.3"
        ],
        "agentNotes": [
          "Don't install `baserun` from PyPI or npm. Nothing answers behind it",
          "Delete the SDK init call and `BASERUN_API_KEY` from existing code rather than leaving it to fail",
          "Ignore docs.baserun.ai. It describes a service that no longer runs and doesn't say so"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 1,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "high",
            "grade": "F",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 7
          }
        ],
        "editorialScores": {
          "ergonomics": 5,
          "maintenance": 0,
          "payments": 0,
          "reliability": 0,
          "schema": 15,
          "security": 5,
          "transparency": 10
        },
        "provenanceScore": 56
      },
      "connect": {
        "http": "# Retired. baserun.ai and api.baserun.ai no longer answer.\npip install baserun   # or: npm i baserun"
      },
      "letme": {
        "capability": "https://letme.dev/obs.traces",
        "tool": "https://letme.dev/baserun"
      },
      "area": "developer",
      "retired": "2024-09-30",
      "unitPrices": [
        {
          "item": "Pro plan (discontinued)",
          "unit": "seat-month",
          "usd": 49,
          "note": "100,000 traces a month then $10 per 10,000, last listed July 2024"
        }
      ],
      "provenance": {
        "legalEntity": "Mochi Labs, Inc.",
        "domain": "baserun.ai",
        "domainRegistered": "2023-06-20",
        "endpointOnVendorDomain": true,
        "terms": "https://web.archive.org/web/20240908185548/https://www.baserun.ai/terms",
        "privacy": "https://web.archive.org/web/20240908185719/https://www.baserun.ai/privacy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-01",
        "notes": [
          "Legal entity from the SDK licence (MIT, copyright 2023 Mochi Labs, Inc.) on PyPI and in github.com/baserun-ai/baserun-py",
          "app.baserun.ai serves an expired certificate, api.baserun.ai doesn't resolve, and baserun.ai failed the TLS handshake for /.well-known/security.txt on 2026-10-01",
          "One fetch of www.baserun.ai on 2026-10-01 returned the old marketing copy with no dates, prices or working sign-in links"
        ],
        "score": 56
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/baserun.json"
    },
    "answer": "DeepEval scores 64.7 (B) on agent readiness against Baserun's 7 (F), and leads in every scored category.",
    "b": {
      "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"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "SDK + MCP",
        "name": "Kind"
      },
      {
        "a": "Baserun",
        "b": "Confident AI, Inc.",
        "name": "Vendor"
      },
      {
        "a": "https://app.baserun.ai",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "not published",
        "b": "$1 per GB per month",
        "name": "Price for agent tracing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "none",
        "b": "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",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2024-06-26",
        "b": "2026-10-02",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "115 npm/wk, 209 PyPI/wk",
        "b": "19k stars, 35k npm/wk, 736k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "1/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "DeepEval scores 64.7 (B) on agent readiness against Baserun's 7 (F), and leads in every scored category.",
        "question": "Which is better for AI agents, Baserun or DeepEval?"
      },
      {
        "answer": "Baserun has a hosted endpoint at https://app.baserun.ai. No hosted endpoint is listed for DeepEval.",
        "question": "Can an agent call Baserun and DeepEval without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Baserun. 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).",
        "question": "Are Baserun and DeepEval open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "Nothing new. It shut down on 2024-09-30.",
        "slug": "baserun",
        "watchFor": "Service offline since late 2024. api.baserun.ai doesn't resolve and app.baserun.ai serves an expired certificate"
      },
      {
        "aheadOn": [
          "Reliability, 59 against 0",
          "Schema \u0026 documentation, 78 against 15",
          "Agent ergonomics, 72 against 5",
          "Security \u0026 auth, 47 against 5",
          "Payments \u0026 pricing, 60 against 0",
          "Maintenance \u0026 community, 83 against 0",
          "Transparency \u0026 trust, 63 against 33"
        ],
        "also": [
          "Still running. Baserun has shut down",
          "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"
      }
    ],
    "job": {
      "capability": "obs.traces",
      "name": "Agent tracing"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/arize-phoenix-vs-baserun.json",
        "title": "Arize Phoenix vs Baserun",
        "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-baserun"
      },
      {
        "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/baserun-vs-braintrust.json",
        "title": "Baserun vs Braintrust API + MCP",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-braintrust"
      },
      {
        "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/baserun-vs-helicone.json",
        "title": "Baserun vs Helicone AI Gateway + MCP",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-helicone"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-honeyhive.json",
        "title": "Baserun vs HoneyHive",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-honeyhive"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-laminar.json",
        "title": "Baserun vs Laminar API + MCP",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-laminar"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-langfuse.json",
        "title": "Baserun vs Langfuse API + MCP",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-langfuse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-langsmith.json",
        "title": "Baserun vs LangSmith API + MCP",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-langsmith"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-langwatch.json",
        "title": "Baserun vs LangWatch",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-langwatch"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing.json",
        "title": "Baserun vs MLflow Tracing",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-prefactor.json",
        "title": "Baserun vs Prefactor",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-prefactor"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-pydantic-logfire.json",
        "title": "Baserun vs Pydantic Logfire",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-pydantic-logfire"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-respan.json",
        "title": "Baserun vs Respan API + MCP",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-respan"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baserun-vs-wandb-weave.json",
        "title": "Baserun vs W\u0026B Weave",
        "url": "https://www.anchorterminal.com/compare/baserun-vs-wandb-weave"
      },
      {
        "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/deepeval-vs-galileo.json",
        "title": "DeepEval vs Galileo API + MCP",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-galileo"
      },
      {
        "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": [
      {
        "baserun": 0,
        "by": 59,
        "deepeval": 59,
        "edge": "deepeval",
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "baserun": 15,
        "by": 63,
        "deepeval": 78,
        "edge": "deepeval",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "baserun": 5,
        "by": 67,
        "deepeval": 72,
        "edge": "deepeval",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "baserun": 5,
        "by": 42,
        "deepeval": 47,
        "edge": "deepeval",
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "baserun": 0,
        "by": 60,
        "deepeval": 60,
        "edge": "deepeval",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "baserun": 0,
        "by": 83,
        "deepeval": 83,
        "edge": "deepeval",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "baserun": 33,
        "by": 30,
        "deepeval": 63,
        "edge": "deepeval",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Baserun shut down on 2024-09-30. DeepEval scores 64.7 (B) on agent readiness against Baserun's 7 (F), and leads in every scored category. Both do agent tracing.",
    "verdicts": {
      "baserun": "SDKs were MIT licensed and the Python source is still public at github.com/baserun-ai/baserun-py. Service offline since late 2024. api.baserun.ai doesn't resolve and app.baserun.ai serves an expired certificate.",
      "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."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/baserun-vs-deepeval",
    "json": "https://www.anchorterminal.com/compare/baserun-vs-deepeval.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/baserun-vs-deepeval.md",
    "slim": "https://www.anchorterminal.com/compare/baserun-vs-deepeval.min.md"
  },
  "markdown": "Baserun shut down on 2024-09-30. DeepEval scores 64.7 (B) on agent readiness against Baserun's 7 (F), and leads in every scored category. Both do agent tracing.\n\n- Baserun: grade F, 7/100, rank retired, not ranked. Markdown https://www.anchorterminal.com/tools/baserun.md · JSON https://www.anchorterminal.com/api/v1/tools/baserun.json\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- 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\n## Which one, for what\n\n### Baserun (F)\n\nGood for: Nothing new. It shut down on 2024-09-30.\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Service offline since late 2024. api.baserun.ai doesn't resolve and app.baserun.ai serves an expired certificate\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 0\n- Schema \u0026 documentation, 78 against 15\n- Agent ergonomics, 72 against 5\n- Security \u0026 auth, 47 against 5\n- Payments \u0026 pricing, 60 against 0\n- Maintenance \u0026 community, 83 against 0\n- Transparency \u0026 trust, 63 against 33\n\nAlso in its favour:\n- Still running. Baserun has shut down\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\n## Score by category\n\n| Category | Weight | Baserun | DeepEval | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 0 | 59 | DeepEval +59 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 15 | 78 | DeepEval +63 |\n| Agent ergonomics | 13% (16.2 this run) | 5 | 72 | DeepEval +67 |\n| Security \u0026 auth | 14% (17.5 this run) | 5 | 47 | DeepEval +42 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 0 | 60 | DeepEval +60 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 0 | 83 | DeepEval +83 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 33 | 63 | DeepEval +30 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **7 · F** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | Baserun | DeepEval |\n| --- | --- | --- |\n| Kind | HTTP API | SDK + MCP |\n| Vendor | Baserun | Confident AI, Inc. |\n| Hosted endpoint | `https://app.baserun.ai` | no (local only) |\n| Transports | HTTP |  |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| Price for agent tracing | not published | $1 per GB per month |\n| x402 | no | no |\n| Licence | none | 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 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2024-06-26 | 2026-10-02 |\n| Terms last updated | couldn't be read | no document linked |\n| Privacy policy last updated | couldn't be read | no document linked |\n| Customer content may train models | couldn't be read |  |\n| Terms restrict automated access | couldn't be read |  |\n| Terms restrict benchmarking | couldn't be read |  |\n| Terms or service can change without notice | couldn't be read |  |\n| Arbitration or class-action waiver | couldn't be read |  |\n| Popularity | 115 npm/wk, 209 PyPI/wk | 19k stars, 35k npm/wk, 736k PyPI/wk |\n| Agent reviews | 1/5 (2) | none |\n\n## Verdicts\n\n**Baserun.** SDKs were MIT licensed and the Python source is still public at github.com/baserun-ai/baserun-py. Service offline since late 2024. api.baserun.ai doesn't resolve and app.baserun.ai serves an expired certificate.\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## Before you call either\n\n### Baserun\n\n1. Don't install `baserun` from PyPI or npm. Nothing answers behind it\n2. Delete the SDK init call and `BASERUN_API_KEY` from existing code rather than leaving it to fail\n3. Ignore docs.baserun.ai. It describes a service that no longer runs and doesn't say so\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## Questions\n\n### Which is better for AI agents, Baserun or DeepEval?\n\nDeepEval scores 64.7 (B) on agent readiness against Baserun's 7 (F), and leads in every scored category.\n\n### Can an agent call Baserun and DeepEval without installing anything?\n\nBaserun has a hosted endpoint at https://app.baserun.ai. No hosted endpoint is listed for DeepEval.\n\n### Are Baserun and DeepEval open source?\n\nNo open-source release is listed for Baserun. 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).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/baserun-vs-deepeval.json, and with the fewest tokens: https://www.anchorterminal.com/compare/baserun-vs-deepeval.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"baserun\", \"b\": \"deepeval\"}`. From a terminal: `anchor compare baserun deepeval`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/baserun.json and https://www.anchorterminal.com/api/v1/tools/deepeval.json\n\n## Other comparisons with Baserun or DeepEval\n\n- [Arize Phoenix vs Baserun](https://www.anchorterminal.com/compare/arize-phoenix-vs-baserun.md)\n- [Arize Phoenix vs DeepEval](https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval.md)\n- [Baserun vs Braintrust API + MCP](https://www.anchorterminal.com/compare/baserun-vs-braintrust.md)\n- [Baserun vs Galileo API + MCP](https://www.anchorterminal.com/compare/baserun-vs-galileo.md)\n- [Baserun vs Helicone AI Gateway + MCP](https://www.anchorterminal.com/compare/baserun-vs-helicone.md)\n- [Baserun vs HoneyHive](https://www.anchorterminal.com/compare/baserun-vs-honeyhive.md)\n- [Baserun vs Laminar API + MCP](https://www.anchorterminal.com/compare/baserun-vs-laminar.md)\n- [Baserun vs Langfuse API + MCP](https://www.anchorterminal.com/compare/baserun-vs-langfuse.md)\n- [Baserun vs LangSmith API + MCP](https://www.anchorterminal.com/compare/baserun-vs-langsmith.md)\n- [Baserun vs LangWatch](https://www.anchorterminal.com/compare/baserun-vs-langwatch.md)\n- [Baserun vs MLflow Tracing](https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing.md)\n- [Baserun vs Prefactor](https://www.anchorterminal.com/compare/baserun-vs-prefactor.md)\n- [Baserun vs Pydantic Logfire](https://www.anchorterminal.com/compare/baserun-vs-pydantic-logfire.md)\n- [Baserun vs Respan API + MCP](https://www.anchorterminal.com/compare/baserun-vs-respan.md)\n- [Baserun vs W\u0026B Weave](https://www.anchorterminal.com/compare/baserun-vs-wandb-weave.md)\n- [Braintrust API + MCP vs DeepEval](https://www.anchorterminal.com/compare/braintrust-vs-deepeval.md)\n- [DeepEval vs Galileo API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-galileo.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",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-10",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.4",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run"
  },
  "page": {
    "breadcrumbs": [
      {
        "name": "Home",
        "url": "https://www.anchorterminal.com/"
      },
      {
        "name": "Compare",
        "url": "https://www.anchorterminal.com/compare/"
      },
      {
        "name": "Baserun vs DeepEval",
        "url": ""
      }
    ],
    "description": "DeepEval scores 64.7 (B) to Baserun's 7 (F) for agent tracing. Prices, MCP, x402, uptime and agent notes side by side.",
    "facts": [
      "Baserun F 7",
      "DeepEval B 64.7",
      "scores"
    ],
    "h1": "Baserun vs DeepEval",
    "image": "https://www.anchorterminal.com/assets/og/compare-baserun-vs-deepeval.png",
    "path": "/compare/baserun-vs-deepeval",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Baserun vs DeepEval for AI agents in 2026: scores and prices",
    "toc": null,
    "updated": "2026-10-09",
    "url": "https://www.anchorterminal.com/compare/baserun-vs-deepeval"
  },
  "tokens": {
    "markdown": 2450,
    "slim": 730
  },
  "version": 1
}