Catalog Systems Evaluation & observability platforms Confident AI / DeepEval

Confident AI / DeepEval

https://www.confident-ai.com/

Open-source DeepEval framework + Confident AI cloud — pytest-style eval runs, hallucination/relevance/bias metrics, datasets.

Active · Verified 2026-10-27 · fresh as of 2026-10-27 · 24 cited facts, 3 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Type
LLM eval framework + cloud vendor fix
Tier
T2
Section
Evaluation & observability platforms
Created
2023 vendor fix
Latest release
v4.3.1 (2026-10-16) — deepeval registry fix
License
Apache-2.0 (DeepEval) vendor fix
GitHub
confident-ai/deepeval — ~19.1k stars, last commit 2026-10 repo fix
Pricing
Free $0; Starter $200/mo; Team $2,000/mo; Enterprise custom vendor fix
Funding
Confident AI raised seed 2024 (YC S24); commercial steward of DeepEval OSS. third-party fix
Freshness
2026-10-27 fix
Layer
agent-infra repo fix
Licensing
open-core vendor fix
Deployment locus
hybrid vendor fix
Platform vs product
platform repo fix
Accelerator
yc-w25 third-party fix
SDK languages
python repo fix
Compliance
gdpr, hipaa, soc2-type2 vendor fix
Developer activity
OpenRank 11 (12-mo avg 14.91) · 108 participants — 2026-09 third-party fix
Maintainer health
9 issues in 90 days, 44% answered or closed · 12 releases in 12 months (latest 2026-10-16) · bus factor 2 — as of 2026-10-31 repo

When to use

Optimised for: searched not found

Anti-fit: searched not found

Pros & cons

Pros

searched not found

Cons

searched not found

Claims & capabilities

DeepEval; YC.

Technical surface

API surface
Python library, CLI (deepeval test run), pytest integration, Confident AI web platform
Backend storage
not applicable — not a memory product
Deployment
Both (self-hosted + managed cloud) — Confident AI cloud; dedicated on-prem on Enterprise; DeepEval runs locally
Embedding model
not applicable — not a memory product
Multi-tenancy
searched not found
MCP
yes — Confident AI MCP server for Claude Code/Cursor; DeepEval MCP-use evaluation metrics
A2A
searched not found
OpenTelemetry
searched not found

Similar systems

Other evaluation & observability platforms in the catalog, ranked by inbound references.

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  • Helicone T2

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  • Ragas T2

    Open-source eval framework for RAG pipelines — faithfulness, answer-relevance, context-precision, context-recall. Widely used as a baseline RAG eval kit.

Sources (23 cited facts, 3 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-27
    • Latest release first recorded as “v4.3.1 (2026-10-16) — deepeval” source
    • Pricing first recorded as “Free $0; Starter $200/mo; Team $2,000/mo; Enterprise custom” source
    • Deployment first recorded as “Both (self-hosted + managed cloud) — Confident AI cloud; dedicated on-prem on Enterprise; DeepEval runs locally” source
    • MCP support first recorded as “yes — Confident AI MCP server for Claude Code/Cursor; DeepEval MCP-use evaluation metrics” source
    #271

Related systems

Referenced by (11)

  • Chroma integrates with — Chroma's docs have a Confident AI / DeepEval integration page. (verified 2026-10-29)
  • Haystack (framework) integrates with — Haystack integrations directory has a DeepEval integration page ("Use the DeepEval evaluation framework to calculate model-based metrics"). (verified 2026-10-29)
  • LangChain (framework) integrates with — LangChain's all-providers integrations page lists Confident AI: "Confident AI is an LLM observability platform. `confident-trace` traces LangChain runs through the callback system and exports them over OpenTelemetry". (verified 2026-10-29)
  • LiteLLM integrates with — LiteLLM docs have a DeepEval logging/observability integration page. (verified 2026-10-29)
  • Mastra integrates with — Mastra repo ships the @mastra/deepeval observability package. (verified 2026-10-29)
  • Milvus integrates with — Milvus's integrations overview lists a Milvus + Confident AI / DeepEval integration tutorial. (verified 2026-10-29)
  • Pydantic-AI integrates with — Pydantic Evals third-party integrations docs have a DeepEval section. (verified 2026-10-29)
  • Qdrant integrates with — Qdrant's documentation has a Confident AI / DeepEval integration page. (verified 2026-10-29)
  • TrueFoundry AI Gateway integrates with — TrueFoundry AI Gateway ecosystem lists a Confident AI integration page. (verified 2026-10-29)
  • Vercel AI SDK integrates with — AI SDK docs have a Confident AI observability integration page. (verified 2026-10-29)
  • Weaviate integrates with — Weaviate's integrations / model-provider docs list Confident AI / DeepEval as an integration. (verified 2026-10-29)