Comparison
evidently vs openllmetry
Verdict
Pick evidently when evidently is primarily Jupyter Notebook; openllmetry is Python; pick openllmetry when openllmetry is primarily Python; evidently is Jupyter Notebook.
Markdown twin · evidently alternatives · openllmetry alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | evidently | openllmetry |
|---|---|---|
| Maintenance | Very active (2d since push) As of 2w · github_public_v1 | Very active (4d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- evidently
- An open-source ML and LLM observability framework.
- openllmetry
- Open-source observability for GenAI and LLM applications based on OpenTelemetry.
Stars
- evidently
- 7.8k
- openllmetry
- 7.4k
Forks
- evidently
- 895
- openllmetry
- 1.0k
Open issues
- evidently
- 295
- openllmetry
- 638
Language
- evidently
- Jupyter Notebook
- openllmetry
- Python
Adopt for
- evidently
- Evidently provides comprehensive observability across a wide range of data types and metrics, particularly suited for integration with Jupyter Notebook environments.
- openllmetry
- -
Persona
- evidently
- -
- openllmetry
- -
Runtime
- evidently
- -
- openllmetry
- -
License
- evidently
- Apache-2.0
- openllmetry
- Apache-2.0
Last pushed
- evidently
- Aug 5, 2026
- openllmetry
- Aug 10, 2026
Categories
- evidently
- Evaluation & Observability
- openllmetry
- Evaluation & Observability
Trust and health
Days since push
- evidently
- 2d
- openllmetry
- 4d
Open issues (now)
- evidently
- 295
- openllmetry
- 638
Stars delta
- evidently
- +117 (30d)
- openllmetry
- +75 (30d)
Open issues delta
- evidently
- +10 (30d)
- openllmetry
- +42 (30d)
OSV dependency advisories
- evidently
- No lockfile (source not queried)
- openllmetry
- Published findings
Full report
- evidently
- Trust report
- openllmetry
- Trust report
Typed relationship
evidently alternative openllmetryBoth frameworks aim at providing observability for LLM applications but with different methodologies and focus areas.
Shared compatibility
- Python · evidently: Python runtime · openllmetry: Python runtime
Choose evidently if…
- evidently is primarily Jupyter Notebook; openllmetry is Python.
- Both frameworks aim at providing observability for LLM applications but with different methodologies and focus areas.
- Tags unique to evidently: data-drift, data-quality, data-validation, gen-ai.
- Integrating into projects using Jupyter Notebooks where detailed observability is needed
When NOT to use evidently
- For developers preferring non-Jupyter based development environments
- Projects needing fewer, simpler monitoring tools without extensive metric support
Choose openllmetry if…
- openllmetry is primarily Python; evidently is Jupyter Notebook.
- Both frameworks aim at providing observability for LLM applications but with different methodologies and focus areas.
- Tags unique to openllmetry: artifical-intelligence, datascience, good-first-issue, llm.
- Use openllmetry when you need observability tools specifically tuned for GenAI and LLM operations integrated with OpenTelemetry.
When NOT to use openllmetry
- Avoid using openllmetry in environments where dependency on Python is undesirable or where alternative languages are prioritized beyond Python's ecosystem.
- Do not select openllmetry if you prefer tools that offer broader customization options for core observability features, as it specializes in integration with OpenTelemetry.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (evidentlyai/evidently) · observed Aug 7, 2026
- GitHub forks (evidentlyai/evidently) · observed Aug 7, 2026
- Last push (evidentlyai/evidently) · observed Aug 5, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (traceloop/openllmetry) · observed Aug 15, 2026
- GitHub forks (traceloop/openllmetry) · observed Aug 15, 2026
- Last push (traceloop/openllmetry) · observed Aug 10, 2026
- License file (Apache-2.0) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: evidently 7.8k · openllmetry 7.4k (synced Aug 7, 2026).
Common questions
- What is the difference between evidently and openllmetry?
- evidently: An open-source ML and LLM observability framework.. openllmetry: Open-source observability for GenAI and LLM applications based on OpenTelemetry.. See the comparison table for live GitHub stats and shared categories.
- When should I choose evidently over openllmetry?
- Choose evidently over openllmetry when evidently is primarily Jupyter Notebook; openllmetry is Python; Both frameworks aim at providing observability for LLM applications but with different methodologies and focus areas; Tags unique to evidently: data-drift, data-quality, data-validation, gen-ai; Integrating into projects using Jupyter Notebooks where detailed observability is needed.
- When should I choose openllmetry over evidently?
- Choose openllmetry over evidently when openllmetry is primarily Python; evidently is Jupyter Notebook; Both frameworks aim at providing observability for LLM applications but with different methodologies and focus areas; Tags unique to openllmetry: artifical-intelligence, datascience, good-first-issue, llm; Use openllmetry when you need observability tools specifically tuned for GenAI and LLM operations integrated with OpenTelemetry.
- When should I avoid evidently?
- For developers preferring non-Jupyter based development environments Projects needing fewer, simpler monitoring tools without extensive metric support
- When should I avoid openllmetry?
- Avoid using openllmetry in environments where dependency on Python is undesirable or where alternative languages are prioritized beyond Python's ecosystem. Do not select openllmetry if you prefer tools that offer broader customization options for core observability features, as it specializes in integration with OpenTelemetry.
- Is evidently or openllmetry more popular on GitHub?
- evidently has more GitHub stars (7,790 vs 7,377). Stars measure visibility, not whether either tool fits your constraints.
- Are evidently and openllmetry open source?
- Yes - both are open-source projects on GitHub (evidently: Apache-2.0, openllmetry: Apache-2.0).
- Where can I find alternatives to evidently or openllmetry?
- GraphCanon lists graph-backed alternatives at evidently alternatives and openllmetry alternatives (evidently markdown twin, openllmetry markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, evidently or openllmetry?
- evidently: Very active. openllmetry: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for evidently and openllmetry?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evidently trust report; openllmetry trust report.