{ "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 HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema \u0026 documentation and security \u0026 auth.", "b": { "slug": "honeyhive", "name": "HoneyHive", "vendor": "HoneyHive", "vendorUrl": "https://www.honeyhive.ai", "kind": "http-api", "category": "agent-observability", "summary": "Hosted tracing, evaluation, datasets and prompt management for agents, built on OpenTelemetry.", "url": "https://www.anchorterminal.com/tools/honeyhive", "markdownUrl": "https://www.anchorterminal.com/tools/honeyhive.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/honeyhive.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/honeyhive.json", "repo": "https://github.com/honeyhiveai/python-sdk", "license": "MIT (SDK, CLI and OpenAPI specs only, platform closed source)", "transports": [ "http" ], "remoteUrl": "https://api.dp1.us.honeyhive.ai", "packages": [ { "registry": "pypi", "name": "honeyhive" }, { "registry": "npm", "name": "honeyhive" } ], "auth": "api-key", "authNotes": "Bearer API keys in four types. Project keys (`hh_`) and read-only project keys (`hh_ro_`) for the data plane, ingestion keys (`hh_ingst_`) that can only send traces and events to one project, and fine-grained keys (`hh_fgcp_`) for the control plane, scoped to an organisation or workspace with chosen permissions and a required expiry of at most 365 days. Data plane at api.dp1.us.honeyhive.ai, control plane at api.cp.us.honeyhive.ai. Since 24 September 2026 invalid keys and permission failures return 404. Self-hosted deployments can use an OIDC identity provider.", "pricing": "freemium", "pricingNotes": "Free Developer plan with 10,000 events a month, up to 5 users and 30-day retention. An event is one trace span or one metric label. Enterprise is custom with unlimited users and workspaces, custom retention and self-hosting. No self-serve paid tier is published (https://www.honeyhive.ai/pricing).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 60, "pypiWeekly": 2105, "asOf": "2026-09-30" }, "docsUrl": "https://docs.honeyhive.ai", "llmsTxt": "https://docs.honeyhive.ai/llms.txt", "openapi": "https://raw.githubusercontent.com/honeyhiveai/honeyhive-openapi/main/data_plane_openapi.yaml", "capabilities": [ "obs.traces", "obs.evals", "obs.prompts", "obs.datasets" ], "tags": [ "hosted", "freemium", "llms-txt", "openapi", "python", "typescript", "closed-source", "enterprise", "self-hosted" ], "lastRelease": "2026-09-29", "graded": true, "anchor": { "graded": true, "score": 55.7, "grade": "C", "agentReady": false, "rank": 649, "ranked": true, "rankOf": 950, "categoryRank": 13, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 77, "payments": 20, "reliability": 44, "schema": 86, "security": 61, "transparency": 66 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -3, "negativeNotes": [ "2026-09-22 to 2026-09-24. The API stopped returning 401 for invalid, revoked or expired keys and 403 for permission failures, and now answers 404 for all of them, on every client version. It was announced in the CLI 1.7.0 changelog on 22 September and the product changelog on 24 September, with no deprecation window. -3 (https://github.com/honeyhiveai/honeyhive-cli/blob/main/CHANGELOG.md)" ], "verdict": "Read-only (`hh_ro_`), ingestion-only (`hh_ingst_`) and expiring fine-grained (`hh_fgcp_`) API keys. Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history.", "bestFor": "Teams that want OpenTelemetry tracing and evals with tight key scoping, drive the platform from a CLI and can talk to sales for volume.", "strengths": [ "Read-only (`hh_ro_`), ingestion-only (`hh_ingst_`) and expiring fine-grained (`hh_fgcp_`) API keys", "Public OpenAPI 3.1 specs for data plane and control plane under MIT, with an oasdiff-generated changelog", "CLI generated one to one from the specs, plus agent skills and Markdown docs", "Python SDK 1.6.1 and CLI 1.7.0 released in the last two weeks of September 2026", "Free plan with 30-day retention, 1,000 requests a minute and no card" ], "weaknesses": [ "Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history", "No MCP server for trace data, only a docs search MCP", "No self-serve paid tier, only Free and a sales-led Enterprise plan", "Since 24 September 2026 invalid keys and permission failures return 404, with no deprecation window", "Event search returns up to 1,000 rows by default with no field selection" ], "agentNotes": [ "Give the agent a read-only `hh_ro_` key for analysis and a separate `hh_ingst_` key for sending traces", "Treat a 404 as possibly a bad, revoked or expired key before assuming the record is missing", "Set `limit` on `POST /v1/events/search`. The default is 1,000 rows", "Use the CLI (`brew tap honeyhiveai/tap \u0026\u0026 brew install honeyhive`) from a coding agent. It maps one command to each API endpoint", "Control plane commands need an `hh_fgcp_` key and the control plane host api.cp.us.honeyhive.ai" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.7 } ], "editorialScores": { "ergonomics": 63, "maintenance": 77, "payments": 20, "reliability": 44, "schema": 86, "security": 61, "transparency": 54 }, "provenanceScore": 77 }, "connect": { "http": "curl https://api.dp1.us.honeyhive.ai/v1/datasets -H \"Authorization: Bearer $HH_API_KEY\"" }, "letme": { "capability": "https://letme.dev/obs.traces", "tool": "https://letme.dev/honeyhive" }, "area": "developer", "provenance": { "legalEntity": "HoneyHive Inc.", "domain": "honeyhive.ai", "domainRegistered": "2022-07-28", "endpointOnVendorDomain": true, "terms": "https://www.honeyhive.ai/legal/terms-of-service", "privacy": "https://www.honeyhive.ai/legal/privacy-policy", "statusPage": "https://status.honeyhive.ai", "changelog": "https://docs.honeyhive.ai/v2/changelog/product", "securityTxt": "none", "checked": "2026-09-30", "score": 77 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/honeyhive.json", "live": { "slug": "honeyhive", "probe": { "target": "https://api.dp1.us.honeyhive.ai", "method": "get", "lastAt": "2026-10-10T02:54:57.785897823Z", "lastOk": true, "lastStatus": 404, "lastMs": 444, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 449, "p95ms24h": 508, "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": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 30, "ok": 30 } ] }, "vendorStatus": { "page": "https://status.honeyhive.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:41.022435193Z" }, "versions": [ { "registry": "github", "name": "honeyhiveai/python-sdk", "version": "v1.7.0", "released": "2026-10-05", "seenAt": "2026-10-09T16:58:01.602718091Z" }, { "registry": "npm", "name": "honeyhive", "version": "1.0.45", "seenAt": "2026-10-09T16:58:00.677625039Z" }, { "registry": "pypi", "name": "honeyhive", "version": "1.7.0", "released": "2026-10-05", "seenAt": "2026-10-09T16:58:00.55552083Z" } ], "githubStars": 3, "npmWeekly": 165, "pypiWeekly": 1887, "securityTxt": { "url": "https://honeyhive.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:39:26.921214313Z" }, "llmsTxt": { "url": "https://docs.honeyhive.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:08.389957133Z" }, "domain": { "domain": "honeyhive.ai", "registered": "2022-07-28", "source": "https://rdap.identitydigital.services/rdap/domain/honeyhive.ai", "checkedAt": "2026-10-04T13:04:07.481546397Z" }, "pages": [ { "url": "https://docs.honeyhive.ai/v2/changelog/product", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:37:30.439623426Z", "changedAt": "2026-10-06T16:08:15.043187228Z", "fingerprint": "b4f7689cee2e" }, { "url": "https://www.honeyhive.ai/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-09T18:51:02.419491605Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "5861207b5e2f" }, { "url": "https://www.honeyhive.ai/legal/privacy-policy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-09T18:50:58.377260286Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "728d616153ce" }, { "url": "https://www.honeyhive.ai/legal/terms-of-service", "kind": "terms", "status": 304, "checkedAt": "2026-10-09T18:51:00.409457497Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "68e3e45c1001" } ], "updatedAt": "2026-10-10T02:54:57.785897823Z" } }, "facts": [ { "a": "SDK + MCP", "b": "HTTP API", "name": "Kind" }, { "a": "Confident AI, Inc.", "b": "HoneyHive", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.dp1.us.honeyhive.ai", "name": "Hosted endpoint" }, { "a": "", "b": "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": "MIT (SDK, CLI and OpenAPI specs only, platform closed source)", "name": "Licence" }, { "a": "no", "b": "yes", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-02", "b": "2026-09-29", "name": "Last release" }, { "a": "no document linked", "b": "2025-01-06", "name": "Terms last updated" }, { "a": "no document linked", "b": "2025-01-11", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "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": "yes", "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": "60 npm/wk, 2.1k 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 HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema \u0026 documentation and security \u0026 auth.", "question": "Which is better for AI agents, DeepEval or HoneyHive?" }, { "answer": "No hosted endpoint is listed for DeepEval. HoneyHive has a hosted endpoint at https://api.dp1.us.honeyhive.ai.", "question": "Can an agent call DeepEval and HoneyHive 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 HoneyHive.", "question": "Are DeepEval and HoneyHive open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 59 against 44", "Agent ergonomics, 72 against 63", "Payments \u0026 pricing, 60 against 20", "Maintenance \u0026 community, 83 against 77" ], "also": [ "Free to start without a card", "Open source", "No incidents deducted, where HoneyHive loses 3 points for them" ], "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": [ "Schema \u0026 documentation, 86 against 78", "Security \u0026 auth, 61 against 47" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Teams that want OpenTelemetry tracing and evals with tight key scoping, drive the platform from a CLI and can talk to sales for volume.", "slug": "honeyhive", "watchFor": "Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history" } ], "job": { "capability": "obs.evals", "name": "Evaluations" }, "others": [ { "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-honeyhive.json", "title": "Arize Phoenix vs HoneyHive", "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-honeyhive" }, { "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-honeyhive.json", "title": "Baserun vs HoneyHive", "url": "https://www.anchorterminal.com/compare/baserun-vs-honeyhive" }, { "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-honeyhive.json", "title": "Braintrust API + MCP vs HoneyHive", "url": "https://www.anchorterminal.com/compare/braintrust-vs-honeyhive" }, { "json": "https://www.anchorterminal.com/compare/galileo-vs-honeyhive.json", "title": "Galileo API + MCP vs HoneyHive", "url": "https://www.anchorterminal.com/compare/galileo-vs-honeyhive" }, { "json": "https://www.anchorterminal.com/compare/helicone-vs-honeyhive.json", "title": "Helicone AI Gateway + MCP vs HoneyHive", "url": "https://www.anchorterminal.com/compare/helicone-vs-honeyhive" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-laminar.json", "title": "HoneyHive vs Laminar API + MCP", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-laminar" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-langfuse.json", "title": "HoneyHive vs Langfuse API + MCP", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-langfuse" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-langsmith.json", "title": "HoneyHive vs LangSmith API + MCP", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-langsmith" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-langwatch.json", "title": "HoneyHive vs LangWatch", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-langwatch" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.json", "title": "HoneyHive vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-prefactor.json", "title": "HoneyHive vs Prefactor", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-prefactor" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-pydantic-logfire.json", "title": "HoneyHive vs Pydantic Logfire", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-pydantic-logfire" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-respan.json", "title": "HoneyHive vs Respan API + MCP", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-respan" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-wandb-weave.json", "title": "HoneyHive vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-wandb-weave" }, { "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-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": 15, "deepeval": 59, "edge": "deepeval", "honeyhive": 44, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "deepeval": 78, "edge": "honeyhive", "honeyhive": 86, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 9, "deepeval": 72, "edge": "deepeval", "honeyhive": 63, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 14, "deepeval": 47, "edge": "honeyhive", "honeyhive": 61, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 40, "deepeval": 60, "edge": "deepeval", "honeyhive": 20, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 6, "deepeval": 83, "edge": "deepeval", "honeyhive": 77, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 3, "deepeval": 63, "edge": "honeyhive", "honeyhive": 66, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "DeepEval scores 64.7 (B) on agent readiness against HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema \u0026 documentation and security \u0026 auth. 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.", "honeyhive": "Read-only (`hh_ro_`), ingestion-only (`hh_ingst_`) and expiring fine-grained (`hh_fgcp_`) API keys. Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive", "json": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.md", "slim": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.min.md" }, "markdown": "DeepEval scores 64.7 (B) on agent readiness against HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema \u0026 documentation and security \u0026 auth. 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- HoneyHive: grade C, 55.7/100, rank #649 of 950. Markdown https://www.anchorterminal.com/tools/honeyhive.md · JSON https://www.anchorterminal.com/api/v1/tools/honeyhive.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### 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 44\n- Agent ergonomics, 72 against 63\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 83 against 77\n\nAlso in its favour:\n- Free to start without a card\n- Open source\n- No incidents deducted, where HoneyHive loses 3 points for them\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### HoneyHive (C)\n\nGood for: Teams that want OpenTelemetry tracing and evals with tight key scoping, drive the platform from a CLI and can talk to sales for volume.\n\nAhead on:\n- Schema \u0026 documentation, 86 against 78\n- Security \u0026 auth, 61 against 47\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history\n\n\n## Score by category\n\n| Category | Weight | DeepEval | HoneyHive | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 59 | 44 | DeepEval +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 86 | HoneyHive +8 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 63 | DeepEval +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 47 | 61 | HoneyHive +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 | 77 | DeepEval +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 66 | HoneyHive +3 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **64.7 · B** | **55.7 · C** | |\n\n## Facts side by side\n\n| Fact | DeepEval | HoneyHive |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | Confident AI, Inc. | HoneyHive |\n| Hosted endpoint | no (local only) | `https://api.dp1.us.honeyhive.ai` |\n| Transports | | 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 | MIT (SDK, CLI and OpenAPI specs only, platform closed source) |\n| Read-only variant documented | no | yes |\n| llms.txt | yes | yes |\n| Last release | 2026-10-02 | 2026-09-29 |\n| Terms last updated | no document linked | 2025-01-06 |\n| Privacy policy last updated | no document linked | 2025-01-11 |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | not found in the text |\n| Terms restrict benchmarking | | yes |\n| Terms or service can change without notice | | yes |\n| Arbitration or class-action waiver | | yes |\n| Popularity | 19k stars, 35k npm/wk, 736k PyPI/wk | 60 npm/wk, 2.1k 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**HoneyHive.** Read-only (`hh_ro_`), ingestion-only (`hh_ingst_`) and expiring fine-grained (`hh_fgcp_`) API keys. Status page showed 80.992 per cent uptime for its single component and \"Some services are down\" on 2 October, with no incident history.\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### HoneyHive\n\n1. Give the agent a read-only `hh_ro_` key for analysis and a separate `hh_ingst_` key for sending traces\n2. Treat a 404 as possibly a bad, revoked or expired key before assuming the record is missing\n3. Set `limit` on `POST /v1/events/search`. The default is 1,000 rows\n4. Use the CLI (`brew tap honeyhiveai/tap \u0026\u0026 brew install honeyhive`) from a coding agent. It maps one command to each API endpoint\n5. Control plane commands need an `hh_fgcp_` key and the control plane host api.cp.us.honeyhive.ai\n\n## Questions\n\n### Which is better for AI agents, DeepEval or HoneyHive?\n\nDeepEval scores 64.7 (B) on agent readiness against HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema \u0026 documentation and security \u0026 auth.\n\n### Can an agent call DeepEval and HoneyHive without installing anything?\n\nNo hosted endpoint is listed for DeepEval. HoneyHive has a hosted endpoint at https://api.dp1.us.honeyhive.ai.\n\n### Are DeepEval and HoneyHive 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 HoneyHive.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepeval\", \"b\": \"honeyhive\"}`. From a terminal: `anchor compare deepeval honeyhive`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepeval.json and https://www.anchorterminal.com/api/v1/tools/honeyhive.json\n\n## Other comparisons with DeepEval or HoneyHive\n\n- [Arize Phoenix vs DeepEval](https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval.md)\n- [Arize Phoenix vs HoneyHive](https://www.anchorterminal.com/compare/arize-phoenix-vs-honeyhive.md)\n- [Baserun vs DeepEval](https://www.anchorterminal.com/compare/baserun-vs-deepeval.md)\n- [Baserun vs HoneyHive](https://www.anchorterminal.com/compare/baserun-vs-honeyhive.md)\n- [Braintrust API + MCP vs DeepEval](https://www.anchorterminal.com/compare/braintrust-vs-deepeval.md)\n- [Braintrust API + MCP vs HoneyHive](https://www.anchorterminal.com/compare/braintrust-vs-honeyhive.md)\n- [Galileo API + MCP vs HoneyHive](https://www.anchorterminal.com/compare/galileo-vs-honeyhive.md)\n- [Helicone AI Gateway + MCP vs HoneyHive](https://www.anchorterminal.com/compare/helicone-vs-honeyhive.md)\n- [HoneyHive vs Laminar API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-laminar.md)\n- [HoneyHive vs Langfuse API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-langfuse.md)\n- [HoneyHive vs LangSmith API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-langsmith.md)\n- [HoneyHive vs LangWatch](https://www.anchorterminal.com/compare/honeyhive-vs-langwatch.md)\n- [HoneyHive vs MLflow Tracing](https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.md)\n- [HoneyHive vs Prefactor](https://www.anchorterminal.com/compare/honeyhive-vs-prefactor.md)\n- [HoneyHive vs Pydantic Logfire](https://www.anchorterminal.com/compare/honeyhive-vs-pydantic-logfire.md)\n- [HoneyHive vs Respan API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-respan.md)\n- [HoneyHive vs W\u0026B Weave](https://www.anchorterminal.com/compare/honeyhive-vs-wandb-weave.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 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": "DeepEval vs HoneyHive", "url": "" } ], "description": "DeepEval scores 64.7 (B) to HoneyHive's 55.7 (C) for evaluations. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "DeepEval B 64.7", "HoneyHive C 55.7", "scores" ], "h1": "DeepEval vs HoneyHive", "image": "https://www.anchorterminal.com/assets/og/compare-deepeval-vs-honeyhive.png", "path": "/compare/deepeval-vs-honeyhive", "published": "2026-10-01", "section": "tools", "title": "DeepEval vs HoneyHive for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive" }, "tokens": { "markdown": 2600, "slim": 730 }, "version": 1 }