{ "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": "LangSmith API + MCP scores 71.1 (BB) on agent readiness against DeepEval's 64.7 (B), and leads in 6 of 7 scored categories. DeepEval leads on payments \u0026 pricing.", "b": { "slug": "langsmith", "name": "LangSmith API + MCP", "vendor": "LangChain", "vendorUrl": "https://www.langchain.com/langsmith", "kind": "http-api", "category": "agent-observability", "summary": "LangChain's hosted tracing, evaluation, prompt hub and dataset platform, framework-agnostic with Python and TypeScript SDKs and OpenTelemetry ingest.", "url": "https://www.anchorterminal.com/tools/langsmith", "markdownUrl": "https://www.anchorterminal.com/tools/langsmith.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/langsmith.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/langsmith.json", "repo": "https://github.com/langchain-ai/langsmith-sdk", "license": "MIT (SDK only, platform closed source)", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.smith.langchain.com", "packages": [ { "registry": "pypi", "name": "langsmith" }, { "registry": "npm", "name": "langsmith" } ], "auth": "mixed", "authNotes": "API key in the `X-Api-Key` header (personal or service keys, workspace-scoped). The remote MCP server uses OAuth 2.1 with dynamic client registration for interactive clients, or the same API key header for headless ones.", "pricing": "freemium", "pricingNotes": "Developer is free for 1 seat with 5,000 base traces a month. Plus $39 a seat a month with 10,000 base traces, unlimited seats and one free small deployment. Enterprise custom. Beyond the included traces, a base trace costs 0.005 LSU ($5 per 1,000 at $1 an LSU) with 14-day retention, and upgrading to an extended trace with 180-day retention adds 0.0025 LSU. Compute for deployments, sandboxes and tuned evaluators is billed in LCUs at $1.50 each. Self-hosting and BYOC are Enterprise only (https://www.langchain.com/pricing).", "priceSummary": "$39 / seat-mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 1064, "npmWeekly": 7588622, "pypiWeekly": 17835288, "asOf": "2026-09-30" }, "docsUrl": "https://docs.langchain.com/langsmith/observability", "llmsTxt": "https://docs.langchain.com/llms.txt", "openapi": "https://api.smith.langchain.com/openapi.json", "capabilities": [ "obs.traces", "obs.evals", "obs.prompts", "obs.datasets", "obs.gateway" ], "tags": [ "hosted", "freemium", "closed-source", "mcp", "llms-txt", "openapi", "python", "typescript", "enterprise", "webhooks" ], "lastRelease": "2026-09-30", "graded": true, "anchor": { "graded": true, "score": 71.1, "grade": "BB", "agentReady": true, "rank": 136, "ranked": true, "rankOf": 950, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 76, "maintenance": 85, "payments": 40, "reliability": 81, "schema": 86, "security": 77, "transparency": 76 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -4, "negativeNotes": [ "2026-02-09 to 2026-06-19. Five published advisories in the LangSmith SDK. The most serious, GHSA-f4xh-w4cj-qxq8 (CVE-2026-59152, 19 June), let anyone who could send HTTP requests to a server running `TracingMiddleware` read arbitrary files from it into trace attachments, fixed in Python 0.8.18. GitHub's list rates it critical and the advisory scores it CVSS 5.0. The others cover untrusted public prompt manifests (high, 7 May), streaming tokens bypassing output redaction (moderate, 14 April), prototype pollution (moderate, 9 April) and SSRF through tracing headers (moderate, 9 February). All fixed and disclosed in public, so -4 (https://github.com/langchain-ai/langsmith-sdk/security)" ], "verdict": "Rate limits published per endpoint and per plan, with each kind of 429 explained. Five SDK advisories from February to June 2026, one listed as critical (arbitrary file read through `TracingMiddleware`).", "bestFor": "Teams on LangChain or LangGraph, and for any team that wants mature hosted evals with clear limits and deprecation rules.", "strengths": [ "Rate limits published per endpoint and per plan, with each kind of 429 explained", "Written deprecation policy, six months on cloud, with `Deprecation` and `Sunset` headers on deprecated endpoints", "Remote MCP with OAuth 2.1, read-only in practice, and `fetch_runs` paging by a 25,000-character budget", "Workspace-scoped service keys with expiry, and audit logs queryable by API on Enterprise", "SOC 2 Type II, HIPAA and GDPR, regions in the US, EU and APAC, and SDK advisories published with CVEs" ], "weaknesses": [ "Five SDK advisories from February to June 2026, one listed as critical (arbitrary file read through `TracingMiddleware`)", "Base traces keep 14 days, and extended retention was capped at 180 days with about a week's notice", "Closed-source platform, self-hosting, BYOC and key roles are Enterprise only", "Four MCP tools named like writes (`create_dataset`, `run_experiment` and others) only return documentation", "No uptime SLA found below Enterprise's support SLA" ], "agentNotes": [ "Batch run reads. `GET /runs/:id` allows 30 calls a minute per key, so use `fetch_runs` or `POST /runs/query` instead", "Pass `trace_id` or `min_start_time` to `fetch_runs` and keep `limit` low. Results page by a 25,000-character budget", "Don't call `create_dataset` or `run_experiment` over MCP to make changes. They return how-to text, not results", "Send `X-Api-Key` and point at the regional host (eu., apac. or aws.api.smith.langchain.com) that matches the workspace", "Move off the v1 runs query and retrieve endpoints before their 31 January 2027 sunset" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 71.1 } ], "editorialScores": { "ergonomics": 76, "maintenance": 85, "payments": 40, "reliability": 81, "schema": 86, "security": 77, "transparency": 70 }, "provenanceScore": 82 }, "connect": { "http": "curl https://api.smith.langchain.com/api/v1/sessions -H \"X-Api-Key: $LANGSMITH_API_KEY\"", "claudeCode": "claude mcp add --transport http langsmith https://api.smith.langchain.com/mcp" }, "letme": { "capability": "https://letme.dev/obs.traces", "tool": "https://letme.dev/langsmith" }, "sameCompany": [ "langgraph", "langmem" ], "area": "developer", "unitPrices": [ { "item": "Plus plan", "unit": "seat-month", "usd": 39, "note": "10,000 base traces a month included" }, { "item": "Base traces", "unit": "1k-requests", "usd": 5, "note": "0.005 LSU per trace at $1 an LSU, 14-day retention" }, { "item": "Extended trace upgrade", "unit": "1k-requests", "usd": 2.5, "note": "0.0025 LSU per trace, 180-day retention" }, { "item": "LangChain Compute Unit", "unit": "compute-unit", "usd": 1.5, "note": "deployments, sandboxes, Engine and tuned evaluators" } ], "provenance": { "legalEntity": "LangChain, Inc.", "domain": "langchain.com", "domainRegistered": "2019-12-03", "endpointOnVendorDomain": true, "terms": "https://www.langchain.com/terms-of-service", "privacy": "https://www.langchain.com/privacy-policy", "statusPage": "https://status.smith.langchain.com", "changelog": "https://docs.langchain.com/langsmith/changelog", "securityTxt": "none", "checked": "2026-09-30", "score": 82 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/langsmith.json", "live": { "slug": "langsmith", "probe": { "target": "https://api.smith.langchain.com", "method": "get", "lastAt": "2026-10-10T01:37:56.229909071Z", "lastOk": true, "lastStatus": 404, "lastMs": 155, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 150, "p95ms24h": 199, "samples24h": 250, "samples30d": 2453, "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": 17, "ok": 17 } ] }, "vendorStatus": { "page": "https://status.smith.langchain.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:45.18101208Z" }, "versions": [ { "registry": "github", "name": "langchain-ai/langsmith-sdk", "version": "v0.14.7", "released": "2026-10-09", "seenAt": "2026-10-09T17:01:35.746182657Z" }, { "registry": "npm", "name": "langsmith", "version": "0.10.11", "seenAt": "2026-10-09T17:01:34.885585088Z" }, { "registry": "pypi", "name": "langsmith", "version": "0.14.7", "released": "2026-10-09", "seenAt": "2026-10-09T17:01:34.509488353Z" } ], "githubStars": 1071, "npmWeekly": 7160571, "pypiWeekly": 19142823, "securityTxt": { "url": "https://langchain.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:40:18.184743654Z" }, "llmsTxt": { "url": "https://docs.langchain.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:15.143562814Z" }, "domain": { "domain": "langchain.com", "registered": "2019-12-03", "source": "https://rdap.verisign.com/com/v1/domain/langchain.com", "checkedAt": "2026-10-04T13:04:29.722113647Z" }, "pages": [ { "url": "https://docs.langchain.com/langsmith/changelog", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-09T18:37:35.346250252Z", "changedAt": "2026-10-06T16:08:16.420087518Z", "fingerprint": "27f69d5d313f" }, { "url": "https://www.langchain.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:51:30.35977874Z", "changedAt": "2026-10-02T15:27:03.289812971Z", "fingerprint": "27094c5a18c8" }, { "url": "https://www.langchain.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:51:32.426504095Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "83d57e07b1e6" }, { "url": "https://www.langchain.com/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:51:34.40311734Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "bafbaf0129ca" } ], "updatedAt": "2026-10-10T01:37:56.229909071Z" } }, "facts": [ { "a": "SDK + MCP", "b": "HTTP API", "name": "Kind" }, { "a": "Confident AI, Inc.", "b": "LangChain", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.smith.langchain.com", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or 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 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": "2026-09-30", "name": "Last release" }, { "a": "no document linked", "b": "2026-06-02", "name": "Terms last updated" }, { "a": "no document linked", "b": "2024-04-28", "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": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "19k stars, 35k npm/wk, 736k PyPI/wk", "b": "1.1k stars, 7.6M npm/wk, 17.8M PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "LangSmith API + MCP scores 71.1 (BB) on agent readiness against DeepEval's 64.7 (B), and leads in 6 of 7 scored categories. DeepEval leads on payments \u0026 pricing.", "question": "Which is better for AI agents, DeepEval or LangSmith API + MCP?" }, { "answer": "No hosted endpoint is listed for DeepEval. LangSmith API + MCP has a hosted endpoint at https://api.smith.langchain.com.", "question": "Can an agent call DeepEval and LangSmith 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 LangSmith API + MCP.", "question": "Are DeepEval and LangSmith API + MCP open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 60 against 40" ], "also": [ "Free to start without a card", "Open source", "No incidents deducted, where LangSmith API + MCP loses 4 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": [ "Reliability, 81 against 59", "Schema \u0026 documentation, 86 against 78", "Security \u0026 auth, 77 against 47", "Transparency \u0026 trust, 76 against 63" ], "also": [ "Agent-ready, a grade of BB or better", "A hosted endpoint, with nothing to install" ], "goodFor": "Teams on LangChain or LangGraph, and for any team that wants mature hosted evals with clear limits and deprecation rules.", "slug": "langsmith", "watchFor": "Five SDK advisories from February to June 2026, one listed as critical (arbitrary file read through `TracingMiddleware`)" } ], "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-langsmith.json", "title": "Arize Phoenix vs LangSmith API + MCP", "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-langsmith" }, { "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-langsmith.json", "title": "Baserun vs LangSmith API + MCP", "url": "https://www.anchorterminal.com/compare/baserun-vs-langsmith" }, { "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-langsmith.json", "title": "Braintrust API + MCP vs LangSmith API + MCP", "url": "https://www.anchorterminal.com/compare/braintrust-vs-langsmith" }, { "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/helicone-vs-langsmith.json", "title": "Helicone AI Gateway + MCP vs LangSmith API + MCP", "url": "https://www.anchorterminal.com/compare/helicone-vs-langsmith" }, { "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/laminar-vs-langsmith.json", "title": "Laminar API + MCP vs LangSmith API + MCP", "url": "https://www.anchorterminal.com/compare/laminar-vs-langsmith" }, { "json": "https://www.anchorterminal.com/compare/langfuse-vs-langsmith.json", "title": "Langfuse API + MCP vs LangSmith API + MCP", "url": "https://www.anchorterminal.com/compare/langfuse-vs-langsmith" }, { "json": "https://www.anchorterminal.com/compare/langsmith-vs-langwatch.json", "title": "LangSmith API + MCP vs LangWatch", "url": "https://www.anchorterminal.com/compare/langsmith-vs-langwatch" }, { "json": "https://www.anchorterminal.com/compare/langsmith-vs-mlflow-tracing.json", "title": "LangSmith API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/langsmith-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/langsmith-vs-prefactor.json", "title": "LangSmith API + MCP vs Prefactor", "url": "https://www.anchorterminal.com/compare/langsmith-vs-prefactor" }, { "json": "https://www.anchorterminal.com/compare/langsmith-vs-pydantic-logfire.json", "title": "LangSmith API + MCP vs Pydantic Logfire", "url": "https://www.anchorterminal.com/compare/langsmith-vs-pydantic-logfire" }, { "json": "https://www.anchorterminal.com/compare/langsmith-vs-respan.json", "title": "LangSmith API + MCP vs Respan API + MCP", "url": "https://www.anchorterminal.com/compare/langsmith-vs-respan" }, { "json": "https://www.anchorterminal.com/compare/langsmith-vs-wandb-weave.json", "title": "LangSmith API + MCP vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/langsmith-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-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-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": 22, "deepeval": 59, "edge": "langsmith", "key": "reliability", "langsmith": 81, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "deepeval": 78, "edge": "langsmith", "key": "schema", "langsmith": 86, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 4, "deepeval": 72, "edge": "langsmith", "key": "ergonomics", "langsmith": 76, "name": "Agent ergonomics", "weight": 13 }, { "by": 30, "deepeval": 47, "edge": "langsmith", "key": "security", "langsmith": 77, "name": "Security \u0026 auth", "weight": 14 }, { "by": 20, "deepeval": 60, "edge": "deepeval", "key": "payments", "langsmith": 40, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "deepeval": 83, "edge": "langsmith", "key": "maintenance", "langsmith": 85, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 13, "deepeval": 63, "edge": "langsmith", "key": "transparency", "langsmith": 76, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "LangSmith API + MCP scores 71.1 (BB) on agent readiness against DeepEval's 64.7 (B), and leads in 6 of 7 scored categories. DeepEval leads on payments \u0026 pricing. 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.", "langsmith": "Rate limits published per endpoint and per plan, with each kind of 429 explained. Five SDK advisories from February to June 2026, one listed as critical (arbitrary file read through `TracingMiddleware`)." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/deepeval-vs-langsmith", "json": "https://www.anchorterminal.com/compare/deepeval-vs-langsmith.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/deepeval-vs-langsmith.md", "slim": "https://www.anchorterminal.com/compare/deepeval-vs-langsmith.min.md" }, "markdown": "LangSmith API + MCP scores 71.1 (BB) on agent readiness against DeepEval's 64.7 (B), and leads in 6 of 7 scored categories. DeepEval leads on payments \u0026 pricing. 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- LangSmith API + MCP: grade BB, 71.1/100, rank #136 of 950. Markdown https://www.anchorterminal.com/tools/langsmith.md · JSON https://www.anchorterminal.com/api/v1/tools/langsmith.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- Payments \u0026 pricing, 60 against 40\n\nAlso in its favour:\n- Free to start without a card\n- Open source\n- No incidents deducted, where LangSmith API + MCP loses 4 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### LangSmith API + MCP (BB)\n\nGood for: Teams on LangChain or LangGraph, and for any team that wants mature hosted evals with clear limits and deprecation rules.\n\nAhead on:\n- Reliability, 81 against 59\n- Schema \u0026 documentation, 86 against 78\n- Security \u0026 auth, 77 against 47\n- Transparency \u0026 trust, 76 against 63\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n\nWatch for: Five SDK advisories from February to June 2026, one listed as critical (arbitrary file read through `TracingMiddleware`)\n\n\n## Score by category\n\n| Category | Weight | DeepEval | LangSmith API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 59 | 81 | LangSmith API + MCP +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 86 | LangSmith API + MCP +8 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 76 | LangSmith API + MCP +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 47 | 77 | LangSmith API + MCP +30 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 40 | DeepEval +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 85 | LangSmith API + MCP +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 76 | LangSmith API + MCP +13 |\n| Negative events | ≤15 | 0 | -4 | |\n| **Total** | | **64.7 · B** | **71.1 · BB** | |\n\n## Facts side by side\n\n| Fact | DeepEval | LangSmith API + MCP |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | Confident AI, Inc. | LangChain |\n| Hosted endpoint | no (local only) | `https://api.smith.langchain.com` |\n| Transports | | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or 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 only, platform closed source) |\n| Read-only variant documented | no | yes |\n| llms.txt | yes | yes |\n| Last release | 2026-10-02 | 2026-09-30 |\n| Terms last updated | no document linked | 2026-06-02 |\n| Privacy policy last updated | no document linked | 2024-04-28 |\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 | | not found in the text |\n| Arbitration or class-action waiver | | not found in the text |\n| Popularity | 19k stars, 35k npm/wk, 736k PyPI/wk | 1.1k stars, 7.6M npm/wk, 17.8M PyPI/wk |\n| Agent reviews | none | 3/5 (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**LangSmith API + MCP.** Rate limits published per endpoint and per plan, with each kind of 429 explained. Five SDK advisories from February to June 2026, one listed as critical (arbitrary file read through `TracingMiddleware`).\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### LangSmith API + MCP\n\n1. Batch run reads. `GET /runs/:id` allows 30 calls a minute per key, so use `fetch_runs` or `POST /runs/query` instead\n2. Pass `trace_id` or `min_start_time` to `fetch_runs` and keep `limit` low. Results page by a 25,000-character budget\n3. Don't call `create_dataset` or `run_experiment` over MCP to make changes. They return how-to text, not results\n4. Send `X-Api-Key` and point at the regional host (eu., apac. or aws.api.smith.langchain.com) that matches the workspace\n5. Move off the v1 runs query and retrieve endpoints before their 31 January 2027 sunset\n\n## Questions\n\n### Which is better for AI agents, DeepEval or LangSmith API + MCP?\n\nLangSmith API + MCP scores 71.1 (BB) on agent readiness against DeepEval's 64.7 (B), and leads in 6 of 7 scored categories. DeepEval leads on payments \u0026 pricing.\n\n### Can an agent call DeepEval and LangSmith API + MCP without installing anything?\n\nNo hosted endpoint is listed for DeepEval. LangSmith API + MCP has a hosted endpoint at https://api.smith.langchain.com.\n\n### Are DeepEval and LangSmith 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 LangSmith API + MCP.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepeval-vs-langsmith.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepeval-vs-langsmith.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepeval\", \"b\": \"langsmith\"}`. From a terminal: `anchor compare deepeval langsmith`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepeval.json and https://www.anchorterminal.com/api/v1/tools/langsmith.json\n\n## Other comparisons with DeepEval or LangSmith API + MCP\n\n- [Arize Phoenix vs DeepEval](https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval.md)\n- [Arize Phoenix vs LangSmith API + MCP](https://www.anchorterminal.com/compare/arize-phoenix-vs-langsmith.md)\n- [Baserun vs DeepEval](https://www.anchorterminal.com/compare/baserun-vs-deepeval.md)\n- [Baserun vs LangSmith API + MCP](https://www.anchorterminal.com/compare/baserun-vs-langsmith.md)\n- [Braintrust API + MCP vs DeepEval](https://www.anchorterminal.com/compare/braintrust-vs-deepeval.md)\n- [Braintrust API + MCP vs LangSmith API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-langsmith.md)\n- [Galileo API + MCP vs LangSmith API + MCP](https://www.anchorterminal.com/compare/galileo-vs-langsmith.md)\n- [Helicone AI Gateway + MCP vs LangSmith API + MCP](https://www.anchorterminal.com/compare/helicone-vs-langsmith.md)\n- [HoneyHive vs LangSmith API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-langsmith.md)\n- [Laminar API + MCP vs LangSmith API + MCP](https://www.anchorterminal.com/compare/laminar-vs-langsmith.md)\n- [Langfuse API + MCP vs LangSmith API + MCP](https://www.anchorterminal.com/compare/langfuse-vs-langsmith.md)\n- [LangSmith API + MCP vs LangWatch](https://www.anchorterminal.com/compare/langsmith-vs-langwatch.md)\n- [LangSmith API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/langsmith-vs-mlflow-tracing.md)\n- [LangSmith API + MCP vs Prefactor](https://www.anchorterminal.com/compare/langsmith-vs-prefactor.md)\n- [LangSmith API + MCP vs Pydantic Logfire](https://www.anchorterminal.com/compare/langsmith-vs-pydantic-logfire.md)\n- [LangSmith API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/langsmith-vs-respan.md)\n- [LangSmith API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/langsmith-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 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 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 LangSmith API + MCP", "url": "" } ], "description": "LangSmith scores 71.1 (BB) to DeepEval's 64.7 (B) for evaluations. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "DeepEval B 64.7", "LangSmith API + MCP BB 71.1", "scores" ], "h1": "DeepEval vs LangSmith API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-deepeval-vs-langsmith.png", "path": "/compare/deepeval-vs-langsmith", "published": "2026-10-01", "section": "tools", "title": "DeepEval vs LangSmith for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/deepeval-vs-langsmith" }, "tokens": { "markdown": 2700, "slim": 780 }, "version": 1 }