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  1. Home
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  3. Observability
  4. DeepEval
DeepEval logo

DeepEval

Observability

Verified Publisher·Pending reviewVerified Adoption·Pending reviewEnterprise Ready·Pending review

Open-source evaluation framework for testing LLM apps, agents, RAG systems, and prompts with repeatable metrics, regression checks, and CI-friendly workflows.

Developers also use

Generated from similarity, co-save, category, project, and adoption signals.

Evidently logo
Evidently

Observability· evidentlyai.com

Freemium

Open-source observability and evaluation framework for monitoring ML and LLM applications with tests and metrics.

Why recommended

Highly similar description

Keep evaluating DeepEval

Comparisons, category adoption data, and shortlist guides that answer the questions this profile raises next.

Weigh DeepEval against the alternatives

  • DeepEval alternativesEvery observability product developers evaluate in place of DeepEval.
  • DeepEval vs EvidentlySide-by-side pricing, API surface, and adoption evidence.
  • DeepEval vs RagasSide-by-side pricing, API surface, and adoption evidence.
  • DeepEval vs TruLensSide-by-side pricing, API surface, and adoption evidence.

Enterprise fit

Buyer brief for procurement and architecture review

Source-labeled signals for cost, reliability, security, integration, and adoption proof. Missing compliance evidence is shown as a gap, not guessed.

Compare for enterpriseExport brief
Inferred

Commercial model

Open source profile signal; exact enterprise terms need buyer review.

View source
Needs verification

Reliability

No status page, uptime, or SLA evidence attached

Needs verification

Security/compliance

No security, trust, or compliance source attached

Source linked

Integration fit

Documentation source linked

View source
Needs verification

Adoption proof

No public adoption proof attached

Buyer recommendation

Shortlist only after verifying Reliability and Security/compliance.

Docs are linked for implementation review.Open-source path can reduce lock-in review.At least one buyer evidence source is linked or verified.

Vendor value loop

Vendors receive anonymous aggregate evaluation demand by default. Account details are shared only after explicit buyer contact or consent.

Request vendor contact

Real data backfill while adoption proof grows

These are source-linked enrichment paths for missing fields. They are treated as proxies until claimed-company data and first-party tokens& adoption events replace them.

GitHub repository APIfreeStars, forks, license, topics, releases, default branch, repo freshness, and public contributor signal.OpenSSF ScorecardfreeOpen-source security posture checks for repos before enterprise review.npm downloads APIfreePublic JavaScript package download trends for SDK/tool adoption proxies.PyPI StatsfreePublic Python package download trends for SDK/tool adoption proxies.Product Hunt APIfreemiumLaunch timing, maker activity, and early-adopter demand signals when products launch publicly.

Events / Tours

DeepEval developer events

Hackathons, workshops, office hours, launches, and partner challenges tied to this product.

Claim or partner

No public events yet

Claimed teams can add hackathons, webinars, office hours, and challenges, then measure attendee to usage ROI.

AgentRank trust profile

Public proof buyers and agents can trust

Claim this tool to see who is evaluating it

AgentRank

50

Public signals · ★ 18,360

Trust Score

44

observed

Category Rank

#24

Observability · public signals

Protocols

SDK

Agent-readable metadata

Tracked Developers

0

Known active developer activity

Profile Status

Unclaimed

Owner action needed

Trust Registry

AgentRank evidence file
observed

Source breakdown

GitHub18,360

68% confidence

Protocol support

SDK

Agent-readable protocol evidence raises trust and commercial readiness.

Adoption over time
Last 8 weeks+656 GitHub stars in 30d · cohort private · trust 44

Timeline appears after verified events.

We do not draw a fake adoption chart before live usage, self-reported proof, or challenge activity exists for this product.

Private (N<7)

active developers

Private (N<7)

verified adoptions

Private (N<7)

retention

Your developer adoption profile is already visible.

Claim it to verify data, add integrations, and unlock adoption intelligence on developers and accounts evaluating DeepEval.

Claim your tool

Developer identities

See the builders behind saves, docs clicks, API calls, and retained usage.

Talk to sales

Account map

Developer identities, account mapping, retention cohorts, and competitor overlap are available on Growth and Enterprise plans.

About DeepEval

Open-source evaluation framework for testing LLM apps, agents, RAG systems, and prompts with repeatable metrics, regression checks, and CI-friendly workflows.

Resources
Official siteLink

Official product website.

DocumentationDocs

Official documentation.

GitHubGitHub

Source repository and release activity.

Public links
Visit WebsiteDocumentationGitHub3 Resources
GitHub Stats

18,360

Stars

1,958

Forks

629

Issues

Quick Info
PricingOpen source
Open sourceYes
API availableNo
7,932
925
Open source
Why recommended

Highly similar description

Ragas logo
Ragas

Observability· ragas.io

Open source

Evaluation framework for testing RAG and LLM applications with metrics, synthetic test data, and CI-friendly quality checks.

Why recommended

Highly similar description

15,815
1,718
Open source
Why recommended

Highly similar description

TruLens logo
TruLens

Observability· trulens.org

Open source

Open-source evaluation and tracking toolkit for measuring LLM app quality, feedback functions, and RAG behavior.

Why recommended

Same category

3,570
345
Open source
Why recommended

Same category

Phoenix logo
Phoenix

Observability· arize.com

Open source

Open source AI observability and evaluation platform for tracing LLM applications, running evals, and debugging agent behavior with OpenTelemetry.

Why recommended

Same category

11,557
1,142
Open source
Why recommended

Same category

  • DeepEval vs PhoenixSide-by-side pricing, API surface, and adoption evidence.

    • Check the adoption evidence

    • Observability developers actually keep usingFiltered to products with verified usage events, cohort breadth, and retention.
    • AgentRank category rankingsHow every category is ordered by adoption proof, trust, and protocol support.
    • Best Open Source AI ToolsShortlist guide for this category, with the tradeoffs written out.
    • Best AI Observability ToolsShortlist guide for this category, with the tradeoffs written out.

    Own DeepEval? Generate its adoption badge embed, or claim the profile to send verified usage events.

    Benchmark proof

    Benchmark proof pending

    Attach latency, cost, accuracy, reliability, or eval evidence to unlock the performance component.

    Trust gaps

    Verify publisher ownership
    Send SDK/API telemetry
    Attach benchmark evidence

    Enterprise verification can enrich evidence and export proof packages, but cannot buy rank.

    Claim this tool to see who is evaluating it
    Next best action

    Claim DeepEval before competitors use this profile as proof.

    Connect usage events, resolve developer identities, and see which accounts are evaluating DeepEval.

    Claim this tool to see who is evaluating it

    Resolve developer activity into companies, teams, and enterprise accounts.

    Talk to sales

    Retention cohorts

    Track first API call through 7/30/90-day retention and expansion.

    Talk to sales

    Competitor overlap

    Find developers evaluating alternatives and switching between tools.

    Talk to sales

    Category benchmark

    Compare activation, retention, and growth against your market.

    Talk to sales

    Recommended actions

    Prioritized DevRel, product, and sales plays based on live adoption signals.

    Talk to sales