Comparison
opik vs evidently
Verdict
Pick opik if opik is designed for evaluating and monitoring LLM applications, offering comprehensive tracing and dashboards; pick evidently if evidently provides comprehensive observability across a wide range of data types and metrics, particularly suited for integration with Jupyter Notebook environments.
Markdown twin · opik alternatives · evidently alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | opik | evidently |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (2d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · 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 | No lockfile (source not queried) 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
- opik
- Debug, evaluate, and monitor your LLM applications with comprehensive tracing and production-ready dashboards
- evidently
- An open-source ML and LLM observability framework.
Stars
- opik
- 21k
- evidently
- 7.8k
Forks
- opik
- 1.7k
- evidently
- 895
Open issues
- opik
- 172
- evidently
- 295
Language
- opik
- Python
- evidently
- Jupyter Notebook
Adopt for
- opik
- Opik is designed for evaluating and monitoring LLM applications, offering comprehensive tracing and dashboards.
- evidently
- Evidently provides comprehensive observability across a wide range of data types and metrics, particularly suited for integration with Jupyter Notebook environments.
Persona
- opik
- -
- evidently
- -
Runtime
- opik
- -
- evidently
- -
License
- opik
- Apache-2.0
- evidently
- Apache-2.0
Last pushed
- opik
- Aug 7, 2026
- evidently
- Aug 5, 2026
Categories
- opik
- Evaluation & Observability
- evidently
- Evaluation & Observability
Trust and health
Days since push
- opik
- 0d
- evidently
- 2d
Open issues (now)
- opik
- 172
- evidently
- 295
Stars delta
- opik
- +767 (30d)
- evidently
- +117 (30d)
Open issues delta
- opik
- +23 (30d)
- evidently
- +10 (30d)
Full report
- opik
- Trust report
- evidently
- Trust report
Typed relationship
Shared compatibility
- Python · opik: Python runtime · evidently: Python runtime
Choose opik if…
- opik is primarily Python; evidently is Jupyter Notebook.
- Pricing: Opik is available under the Apache-2.0 license and can be deployed freely using Docker or Kubernetes, with no explicit mention of premium cloud-based services..
- Requirements: Compatible with Python environments.; Can be deployed via Docker for local use or Kubernetes for scalable installations..
- Evidently and Opik are both open-source ML/LLM observability frameworks that allow monitoring and evaluating LLM applications.
- Tags unique to opik: evaluation, llm-evaluation, llm-observability.
- - Use Opik when you need to deploy a self-hosted solution that offers granular control over your LLM monitoring setup.
When NOT to use opik
- - Avoid using Opik if you prefer cloud-based deployment options where extensive self-hosting management may be less preferable or feasible.
- - Do not use Opik if your project does not involve LLM applications or RAG systems, as its specific features will offer little benefit in a narrower context.
Choose evidently if…
- evidently is primarily Jupyter Notebook; opik is Python.
- Evidently and Opik are both open-source ML/LLM observability frameworks that allow monitoring and evaluating LLM applications.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (comet-ml/opik) · observed Aug 7, 2026
- GitHub forks (comet-ml/opik) · observed Aug 7, 2026
- Last push (comet-ml/opik) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: opik 21k · evidently 7.8k (synced Aug 7, 2026).
Common questions
- What is the difference between opik and evidently?
- opik: Debug, evaluate, and monitor your LLM applications with comprehensive tracing and production-ready dashboards. evidently: An open-source ML and LLM observability framework.. See the comparison table for live GitHub stats and shared categories.
- When should I choose opik over evidently?
- Choose opik over evidently when opik is primarily Python; evidently is Jupyter Notebook; Pricing: Opik is available under the Apache-2.0 license and can be deployed freely using Docker or Kubernetes, with no explicit mention of premium cloud-based services.; Requirements: Compatible with Python environments.; Can be deployed via Docker for local use or Kubernetes for scalable installations.; Evidently and Opik are both open-source ML/LLM observability frameworks that allow monitoring and evaluating LLM applications; Tags unique to opik: evaluation, llm-evaluation, llm-observability; - Use Opik when you need to deploy a self-hosted solution that offers granular control over your LLM monitoring setup.
- When should I choose evidently over opik?
- Choose evidently over opik when evidently is primarily Jupyter Notebook; opik is Python; Evidently and Opik are both open-source ML/LLM observability frameworks that allow monitoring and evaluating LLM applications; 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 avoid opik?
- - Avoid using Opik if you prefer cloud-based deployment options where extensive self-hosting management may be less preferable or feasible. - Do not use Opik if your project does not involve LLM applications or RAG systems, as its specific features will offer little benefit in a narrower context.
- When should I avoid evidently?
- For developers preferring non-Jupyter based development environments Projects needing fewer, simpler monitoring tools without extensive metric support
- Is opik or evidently more popular on GitHub?
- opik has more GitHub stars (21,177 vs 7,790). Stars measure visibility, not whether either tool fits your constraints.
- Are opik and evidently open source?
- Yes - both are open-source projects on GitHub (opik: Apache-2.0, evidently: Apache-2.0).
- Where can I find alternatives to opik or evidently?
- GraphCanon lists graph-backed alternatives at opik alternatives and evidently alternatives (opik markdown twin, evidently 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, opik or evidently?
- opik: Very active. evidently: 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 opik and evidently?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: opik trust report; evidently trust report.