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  1. Home
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  3. Observability
  4. Evidently
Evidently logo

Evidently

Observability

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

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

Enterprise fit

Public links
Visit WebsiteDocumentation

Developers also use

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

Opik logo
Opik

Observability· comet.com

Open source

Open-source LLM observability and evaluation platform from Comet for tracing, prompt management, testing, and agent optimization.

Why recommended

Highly similar description

Keep evaluating Evidently

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

Weigh Evidently against the alternatives

  • Evidently alternativesEvery observability product developers evaluate in place of Evidently.
  • Evidently vs OpikSide-by-side pricing, API surface, and adoption evidence.
  • Evidently vs LaminarSide-by-side pricing, API surface, and adoption evidence.
  • Evidently vs OpenLITSide-by-side pricing, API surface, and adoption evidence.

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

Freemium 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

API available with docs/profile signal

View source
Needs verification

Adoption proof

No public adoption proof attached

Buyer recommendation

Shortlist only after verifying Reliability and Security/compliance.

API signal supports workflow automation.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

Evidently 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

51

Public signals · ★ 7,932

Trust Score

47

observed

Category Rank

#12

Observability · public signals

Protocols

API, 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

GitHub7,932

68% confidence

Protocol support

APISDK
Adoption over time
Last 8 weeks+101 GitHub stars in 30d · cohort private · trust 47

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 Evidently.

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 Evidently

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

Resources
Official websiteofficial

Official product homepage verified during intake.

DocumentationDocs

Official Evidently documentation.

GitHub repositoryGitHub

Source repository and public adoption signal.

GitHub
3 Resources
GitHub Stats

7,932

Stars

925

Forks

312

Issues

Quick Info
PricingFreemium
Open sourceYes
API availableYes
22,172
1,812
Open source
Why recommended

Highly similar description

Laminar logo
Laminar

Observability· laminar.sh

Freemium

Open-source observability, tracing, and evaluation platform built for AI agents.

Why recommended

Highly similar description

3,275
240
Open source
Why recommended

Highly similar description

OpenLIT logo
OpenLIT

Observability· openlit.io

Freemium

OpenTelemetry-native AI engineering platform for LLM observability, evaluations, guardrails, and prompt operations.

Why recommended

Highly similar description

2,782
397
Open source
Why recommended

Highly similar description

Langfuse logo
Langfuse

Observability· langfuse.com

Freemium

Open-source LLM engineering platform for tracing, evals, prompt management, and metrics so teams can debug and improve production AI applications.

Why recommended

Highly similar description

34,826
3,815
Open source
Why recommended

Highly similar description

  • Evidently vs LangfuseSide-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 Evidently? Generate its adoption badge embed, or claim the profile to send verified usage events.

    Agent-readable protocol evidence raises trust and commercial readiness.

    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 Evidently before competitors use this profile as proof.

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

    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