{ "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": "W\u0026B Weave scores 66.7 (B) on agent readiness against DeepEval's 64.7 (B), and leads in 4 of 7 scored categories. DeepEval leads on payments \u0026 pricing.", "b": { "slug": "wandb-weave", "name": "W\u0026B Weave", "vendor": "Weights \u0026 Biases (CoreWeave)", "vendorUrl": "https://wandb.ai", "kind": "http-api", "category": "agent-observability", "summary": "W\u0026B Weave is CoreWeave Forge's tracing and evaluation service for LLM applications and agents. It takes traces from Python and TypeScript SDKs or an OTLP endpoint and exposes them through a REST Service API.", "url": "https://www.anchorterminal.com/tools/wandb-weave", "markdownUrl": "https://www.anchorterminal.com/tools/wandb-weave.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/wandb-weave.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/wandb-weave.json", "repo": "https://github.com/wandb/weave", "license": "Hosted service under the W\u0026B Master Service Agreement. The Weave SDKs and trace server source on GitHub are Apache-2.0, and the W\u0026B MCP server is MIT", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://trace.wandb.ai", "packages": [ { "registry": "pypi", "name": "weave" }, { "registry": "npm", "name": "weave" } ], "auth": "api-key", "authNotes": "A Forge API key, created by a signed-in user at forge.coreweave.com/settings after signing up at id.coreweave.com/signup. The Service API takes it as `Authorization: Bearer`, the OTLP endpoints as a `wandb-api-key` header or HTTP Basic with user `api`. Personal keys reach every organisation the user belongs to. Service account keys are limited to one team or one organisation. Keys carry no per-permission scopes, the secret is shown once, and deleting a key revokes it at once.", "pricing": "freemium", "pricingNotes": "Free is $0 a month with 1 GB of Weave data ingestion. Pro starts at $60 a month with 1.5 GB, a 30 day trial and further ingestion at $0.10 per MB, billed in arrears. Enterprise is quoted, with further ingestion listed at $0.20 per MB and volume discounts on annual commitments. Ingested bytes are counted once when stored. The pricing page doesn't say whether Free needs a card (checked 2026-10-08).", "priceSummary": "$60 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Weave docs, the OpenAPI document or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 623550, "pypiWeekly": 219442, "asOf": "2026-10-08" }, "docsUrl": "https://docs.coreweave.com/products/wandb/weave", "llmsTxt": "https://docs.coreweave.com/llms.txt", "openapi": "https://trace.wandb.ai/openapi.json", "capabilities": [ "obs.traces", "obs.evals", "obs.prompts", "obs.datasets" ], "tags": [ "hosted", "freemium", "open-source", "self-hosted", "mcp", "llms-txt", "openapi", "opentelemetry", "python", "typescript", "status-page", "soc2" ], "lastRelease": "2026-09-25", "graded": true, "anchor": { "graded": true, "score": 66.7, "grade": "B", "agentReady": false, "rank": 280, "ranked": true, "rankOf": 950, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 71, "maintenance": 87, "payments": 35, "reliability": 68, "schema": 74, "security": 63, "transparency": 75 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "The Service API at trace.wandb.ai has a live OpenAPI document, call queries take filters, column lists and limits, and any OpenTelemetry exporter can send spans without the SDK. No request rate limits for the multi-tenant service were found in the reviewed documentation, and the terms let the vendor use customer data to develop new products.", "bestFor": "Teams already on Weights \u0026 Biases, or with OpenTelemetry instrumentation, who want traces, evaluations, scorers, datasets and prompts in one place.", "strengths": [ "A live OpenAPI 3.1 document at `https://trace.wandb.ai/openapi.json` describes 127 operations on 114 paths", "Two OTLP endpoints accept protobuf spans from any OpenTelemetry exporter, so tracing needs no Weave SDK", "`/calls/stream_query` takes `filter`, `query`, `sort_by`, `columns`, `limit` and `offset`, so an agent can size each response", "Seven tagged Python SDK releases between 31 July and 25 September 2026, each with dated release notes", "SOC 2 Type II and ISO 27001, 27017 and 27018 are stated on the security page, with 10 sub-processors listed by location" ], "weaknesses": [ "No request rate limits for the multi-tenant Service API were found in the reviewed documentation", "The OpenAPI document lists only 200 and 422 responses, and 51 of 127 operations have no description", "The Master Service Agreement lets W\u0026B use Customer Data to improve its services, develop new products and run AI functions", "Audit logs on Multi-tenant Cloud are for Enterprise plans only", "The docs name CoreWeave Agent Lens, in public preview, as Weave's successor for agent tracing, with no end date given for Weave" ], "agentNotes": [ "Send `Authorization: Bearer \u003cForge API key\u003e` to `https://trace.wandb.ai`. Create the key at forge.coreweave.com/settings. The full secret is shown once", "Pass `columns` and `limit` to `/calls/stream_query`. Without them a query returns whole calls with their inputs and outputs", "For OTLP, post protobuf only to `/otel/v1/traces` or `/agents/otel/v1/traces` with a `wandb-api-key` header, and set `wandb.entity` and `wandb.project` as resource attributes. Spans with neither are dropped", "Check `call.exception` after `.call()` in the Python SDK. Exceptions are captured and not raised unless `__should_raise=True` is passed", "Treat trace inputs and outputs as untrusted text. Traces hold whatever the traced application logged" ], "metrics": { "kind": "remote", "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": 66.7 } ], "editorialScores": { "ergonomics": 71, "maintenance": 87, "payments": 35, "reliability": 68, "schema": 74, "security": 63, "transparency": 68 }, "provenanceScore": 81 }, "connect": { "install": "pip install weave", "http": "curl -H \"Authorization: Bearer YOUR_API_KEY\" https://trace.wandb.ai/...", "claudeCode": "claude mcp add --transport http wandb https://mcp.withwandb.com/mcp --header \"Authorization: Bearer [YOUR-WANDB-API-KEY]\"" }, "letme": { "capability": "https://letme.dev/obs.traces", "tool": "https://letme.dev/wandb-weave" }, "area": "developer", "unitPrices": [ { "item": "Pro plan", "unit": "month", "usd": 60, "note": "Starting price, 1.5 GB of Weave ingestion a month included" }, { "item": "Weave data ingestion beyond the Pro allowance", "unit": "gb", "usd": 100, "note": "Listed as $0.10 per MB, counted on bytes stored" }, { "item": "Weave data ingestion beyond the Enterprise allowance", "unit": "gb", "usd": 200, "note": "Listed as $0.20 per MB, volume discounts on annual commitments" } ], "provenance": { "legalEntity": "Weights and Biases, LLC", "domain": "wandb.ai", "domainRegistered": "2017-12-16", "endpointOnVendorDomain": true, "terms": "https://wandb.ai/site/terms/", "privacy": "https://docs.coreweave.com/policies/terms-of-service/privacy-policy", "statusPage": "https://status.forge.coreweave.com", "changelog": "https://docs.coreweave.com/release-notes/weave-sdk-releases", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The W\u0026B Master Service Agreement, last updated 30 September 2026, names Weights and Biases, LLC, a Delaware company at 400 Alabama Street, San Francisco. The products are sold as CoreWeave Forge.", "wandb.ai/site/privacy redirects to CoreWeave's privacy policy, last updated 24 February 2026, which covers CoreWeave, Inc. and its affiliates as controller and says it doesn't apply to data processed for customers. The DPA of 22 April 2026 at wandb.ai/site/dpa covers that data.", "The Service API and OTLP endpoints run on trace.wandb.ai. The hosted MCP server runs on mcp.withwandb.com and the console on forge.coreweave.com.", "wandb.ai/.well-known/security.txt redirects to a Forge page that answers \"Invalid .well-known request\", and coreweave.com/.well-known/security.txt returns 404. The security page takes reports at security@coreweave.com.", "status.wandb.com, which the SLA cites, redirects to status.forge.coreweave.com.", "RDAP for wandb.ai gives a registration date of 2017-12-16." ], "score": 81 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/wandb-weave.json", "live": { "slug": "wandb-weave", "probe": { "target": "https://trace.wandb.ai", "method": "get", "lastAt": "2026-10-10T03:53:49.284569519Z", "lastOk": true, "lastStatus": 200, "lastMs": 150, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 158, "p95ms24h": 256, "samples24h": 209, "samples30d": 209, "days": [ { "date": "2026-10-09", "probes": 169, "ok": 169 }, { "date": "2026-10-10", "probes": 40, "ok": 40 } ] }, "vendorStatus": { "page": "https://status.forge.coreweave.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T03:58:51.751691855Z" }, "versions": [ { "registry": "github", "name": "wandb/weave", "version": "v0.53.7", "released": "2026-08-27", "seenAt": "2026-10-09T17:27:53.258591534Z" }, { "registry": "npm", "name": "weave", "version": "0.16.9", "seenAt": "2026-10-09T17:27:52.837142312Z" }, { "registry": "pypi", "name": "weave", "version": "0.53.11", "released": "2026-09-25", "seenAt": "2026-10-09T17:27:52.727741744Z" } ], "githubStars": 1138, "npmWeekly": 428168, "pypiWeekly": 212213, "securityTxt": { "url": "https://wandb.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:39:31.530708699Z" }, "llmsTxt": { "url": "https://docs.coreweave.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:03:01.59802993Z" }, "pages": [ { "url": "https://docs.coreweave.com/release-notes/weave-sdk-releases", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:37:10.023968425Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "03a899e50832" }, { "url": "https://wandb.ai/site/terms/", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:47:17.126017694Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "40c195d30475" } ], "updatedAt": "2026-10-10T03:58:51.751691855Z" } }, "facts": [ { "a": "SDK + MCP", "b": "HTTP API", "name": "Kind" }, { "a": "Confident AI, Inc.", "b": "Weights \u0026 Biases (CoreWeave)", "name": "Vendor" }, { "a": "no (local only)", "b": "https://trace.wandb.ai", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms", "b": "Hosted service under the W\u0026B Master Service Agreement. The Weave SDKs and trace server source on GitHub are Apache-2.0, and the W\u0026B MCP server is MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-02", "b": "2026-09-25", "name": "Last release" }, { "a": "no document linked", "b": "2026-09-30", "name": "Terms last updated" }, { "a": "no document linked", "b": "2026-02-24", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "yes", "name": "Terms restrict automated access" }, { "a": "", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "19k stars, 35k npm/wk, 736k PyPI/wk", "b": "624k npm/wk, 219k PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "W\u0026B Weave scores 66.7 (B) on agent readiness against DeepEval's 64.7 (B), and leads in 4 of 7 scored categories. DeepEval leads on payments \u0026 pricing.", "question": "Which is better for AI agents, DeepEval or W\u0026B Weave?" }, { "answer": "No hosted endpoint is listed for DeepEval. W\u0026B Weave has a hosted endpoint at https://trace.wandb.ai.", "question": "Can an agent call DeepEval and W\u0026B Weave without installing anything?" }, { "answer": "Yes. 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). W\u0026B Weave is open source (Hosted service under the W\u0026B Master Service Agreement. The Weave SDKs and trace server source on GitHub are Apache-2.0, and the W\u0026B MCP server is MIT).", "question": "Are DeepEval and W\u0026B Weave open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 60 against 35" ], "also": [ "Free to start without a card" ], "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, 68 against 59", "Security \u0026 auth, 63 against 47", "Transparency \u0026 trust, 75 against 63" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Teams already on Weights \u0026 Biases, or with OpenTelemetry instrumentation, who want traces, evaluations, scorers, datasets and prompts in one place.", "slug": "wandb-weave", "watchFor": "No request rate limits for the multi-tenant Service API were found in the reviewed documentation" } ], "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-wandb-weave.json", "title": "Arize Phoenix vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-wandb-weave" }, { "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-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/braintrust-vs-wandb-weave.json", "title": "Braintrust API + MCP vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/braintrust-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/galileo-vs-wandb-weave.json", "title": "Galileo API + MCP vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/galileo-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/helicone-vs-wandb-weave.json", "title": "Helicone AI Gateway + MCP vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/helicone-vs-wandb-weave" }, { "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/laminar-vs-wandb-weave.json", "title": "Laminar API + MCP vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/laminar-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/langfuse-vs-wandb-weave.json", "title": "Langfuse API + MCP vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/langfuse-vs-wandb-weave" }, { "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/langwatch-vs-wandb-weave.json", "title": "LangWatch vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/langwatch-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave.json", "title": "MLflow Tracing vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/prefactor-vs-wandb-weave.json", "title": "Prefactor vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/prefactor-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/pydantic-logfire-vs-wandb-weave.json", "title": "Pydantic Logfire vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/pydantic-logfire-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/respan-vs-wandb-weave.json", "title": "Respan API + MCP vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/respan-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-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" } ], "scores": [ { "by": 9, "deepeval": 59, "edge": "wandb-weave", "key": "reliability", "name": "Reliability", "wandb-weave": 68, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 4, "deepeval": 78, "edge": "deepeval", "key": "schema", "name": "Schema \u0026 documentation", "wandb-weave": 74, "weight": 13 }, { "by": 1, "deepeval": 72, "edge": "deepeval", "key": "ergonomics", "name": "Agent ergonomics", "wandb-weave": 71, "weight": 13 }, { "by": 16, "deepeval": 47, "edge": "wandb-weave", "key": "security", "name": "Security \u0026 auth", "wandb-weave": 63, "weight": 14 }, { "by": 25, "deepeval": 60, "edge": "deepeval", "key": "payments", "name": "Payments \u0026 pricing", "wandb-weave": 35, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 4, "deepeval": 83, "edge": "wandb-weave", "key": "maintenance", "name": "Maintenance \u0026 community", "wandb-weave": 87, "weight": 7 }, { "by": 12, "deepeval": 63, "edge": "wandb-weave", "key": "transparency", "name": "Transparency \u0026 trust", "wandb-weave": 75, "weight": 7 } ], "summary": "W\u0026B Weave scores 66.7 (B) on agent readiness against DeepEval's 64.7 (B), and leads in 4 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.", "wandb-weave": "The Service API at trace.wandb.ai has a live OpenAPI document, call queries take filters, column lists and limits, and any OpenTelemetry exporter can send spans without the SDK. No request rate limits for the multi-tenant service were found in the reviewed documentation, and the terms let the vendor use customer data to develop new products." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave", "json": "https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave.md", "slim": "https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave.min.md" }, "markdown": "W\u0026B Weave scores 66.7 (B) on agent readiness against DeepEval's 64.7 (B), and leads in 4 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- W\u0026B Weave: grade B, 66.7/100, rank #280 of 950. Markdown https://www.anchorterminal.com/tools/wandb-weave.md · JSON https://www.anchorterminal.com/api/v1/tools/wandb-weave.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 35\n\nAlso in its favour:\n- Free to start without a card\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### W\u0026B Weave (B)\n\nGood for: Teams already on Weights \u0026 Biases, or with OpenTelemetry instrumentation, who want traces, evaluations, scorers, datasets and prompts in one place.\n\nAhead on:\n- Reliability, 68 against 59\n- Security \u0026 auth, 63 against 47\n- Transparency \u0026 trust, 75 against 63\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: No request rate limits for the multi-tenant Service API were found in the reviewed documentation\n\n\n## Score by category\n\n| Category | Weight | DeepEval | W\u0026B Weave | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 59 | 68 | W\u0026B Weave +9 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 74 | DeepEval +4 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 71 | DeepEval +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 47 | 63 | W\u0026B Weave +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 35 | DeepEval +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 87 | W\u0026B Weave +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 75 | W\u0026B Weave +12 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.7 · B** | **66.7 · B** | |\n\n## Facts side by side\n\n| Fact | DeepEval | W\u0026B Weave |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | Confident AI, Inc. | Weights \u0026 Biases (CoreWeave) |\n| Hosted endpoint | no (local only) | `https://trace.wandb.ai` |\n| Transports | | HTTP, Streamable HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms | Hosted service under the W\u0026B Master Service Agreement. The Weave SDKs and trace server source on GitHub are Apache-2.0, and the W\u0026B MCP server is MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-02 | 2026-09-25 |\n| Terms last updated | no document linked | 2026-09-30 |\n| Privacy policy last updated | no document linked | 2026-02-24 |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | yes |\n| Terms restrict benchmarking | | yes |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | yes |\n| Popularity | 19k stars, 35k npm/wk, 736k PyPI/wk | 624k npm/wk, 219k PyPI/wk |\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**W\u0026B Weave.** The Service API at trace.wandb.ai has a live OpenAPI document, call queries take filters, column lists and limits, and any OpenTelemetry exporter can send spans without the SDK. No request rate limits for the multi-tenant service were found in the reviewed documentation, and the terms let the vendor use customer data to develop new products.\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### W\u0026B Weave\n\n1. Send `Authorization: Bearer \u003cForge API key\u003e` to `https://trace.wandb.ai`. Create the key at forge.coreweave.com/settings. The full secret is shown once\n2. Pass `columns` and `limit` to `/calls/stream_query`. Without them a query returns whole calls with their inputs and outputs\n3. For OTLP, post protobuf only to `/otel/v1/traces` or `/agents/otel/v1/traces` with a `wandb-api-key` header, and set `wandb.entity` and `wandb.project` as resource attributes. Spans with neither are dropped\n4. Check `call.exception` after `.call()` in the Python SDK. Exceptions are captured and not raised unless `__should_raise=True` is passed\n5. Treat trace inputs and outputs as untrusted text. Traces hold whatever the traced application logged\n\n## Questions\n\n### Which is better for AI agents, DeepEval or W\u0026B Weave?\n\nW\u0026B Weave scores 66.7 (B) on agent readiness against DeepEval's 64.7 (B), and leads in 4 of 7 scored categories. DeepEval leads on payments \u0026 pricing.\n\n### Can an agent call DeepEval and W\u0026B Weave without installing anything?\n\nNo hosted endpoint is listed for DeepEval. W\u0026B Weave has a hosted endpoint at https://trace.wandb.ai.\n\n### Are DeepEval and W\u0026B Weave open source?\n\nYes. 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). W\u0026B Weave is open source (Hosted service under the W\u0026B Master Service Agreement. The Weave SDKs and trace server source on GitHub are Apache-2.0, and the W\u0026B MCP server is MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepeval\", \"b\": \"wandb-weave\"}`. From a terminal: `anchor compare deepeval wandb-weave`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepeval.json and https://www.anchorterminal.com/api/v1/tools/wandb-weave.json\n\n## Other comparisons with DeepEval or W\u0026B Weave\n\n- [Arize Phoenix vs DeepEval](https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval.md)\n- [Arize Phoenix vs W\u0026B Weave](https://www.anchorterminal.com/compare/arize-phoenix-vs-wandb-weave.md)\n- [Baserun vs DeepEval](https://www.anchorterminal.com/compare/baserun-vs-deepeval.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- [Braintrust API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/braintrust-vs-wandb-weave.md)\n- [Galileo API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/galileo-vs-wandb-weave.md)\n- [Helicone AI Gateway + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/helicone-vs-wandb-weave.md)\n- [HoneyHive vs W\u0026B Weave](https://www.anchorterminal.com/compare/honeyhive-vs-wandb-weave.md)\n- [Laminar API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/laminar-vs-wandb-weave.md)\n- [Langfuse API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/langfuse-vs-wandb-weave.md)\n- [LangSmith API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/langsmith-vs-wandb-weave.md)\n- [LangWatch vs W\u0026B Weave](https://www.anchorterminal.com/compare/langwatch-vs-wandb-weave.md)\n- [MLflow Tracing vs W\u0026B Weave](https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave.md)\n- [Prefactor vs W\u0026B Weave](https://www.anchorterminal.com/compare/prefactor-vs-wandb-weave.md)\n- [Pydantic Logfire vs W\u0026B Weave](https://www.anchorterminal.com/compare/pydantic-logfire-vs-wandb-weave.md)\n- [Respan API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/respan-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 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", "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 W\u0026B Weave", "url": "" } ], "description": "W\u0026B Weave scores 66.7 (B) to DeepEval's 64.7 (B) for evaluations. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "DeepEval B 64.7", "W\u0026B Weave B 66.7", "scores" ], "h1": "DeepEval vs W\u0026B Weave", "image": "https://www.anchorterminal.com/assets/og/compare-deepeval-vs-wandb-weave.png", "path": "/compare/deepeval-vs-wandb-weave", "published": "2026-10-01", "section": "tools", "title": "DeepEval vs W\u0026B Weave for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave" }, "tokens": { "markdown": 2700, "slim": 730 }, "version": 1 }