Comparison
phoenix vs evidently
Verdict
Pick phoenix if phoenix by Arize AI focuses on providing comprehensive tools for monitoring and evaluating AI models with an emphasis on improving observability over time; 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 · phoenix alternatives · evidently alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | phoenix | evidently |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (2d 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 | 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
- phoenix
- AI Observability & Evaluation
- evidently
- An open-source ML and LLM observability framework.
Stars
- phoenix
- 11k
- evidently
- 7.8k
Forks
- phoenix
- 1.0k
- evidently
- 895
Open issues
- phoenix
- 839
- evidently
- 295
Language
- phoenix
- Python
- evidently
- Jupyter Notebook
Adopt for
- phoenix
- Phoenix by Arize AI focuses on providing comprehensive tools for monitoring and evaluating AI models with an emphasis on improving observability over time.
- evidently
- Evidently provides comprehensive observability across a wide range of data types and metrics, particularly suited for integration with Jupyter Notebook environments.
Persona
- phoenix
- -
- evidently
- -
Runtime
- phoenix
- -
- evidently
- -
License
- phoenix
- Other
- evidently
- Apache-2.0
Last pushed
- phoenix
- Aug 1, 2026
- evidently
- Aug 5, 2026
Categories
- phoenix
- Evaluation & Observability
- evidently
- Evaluation & Observability
Trust and health
Days since push
- phoenix
- 0d
- evidently
- 2d
Open issues (now)
- phoenix
- 839
- evidently
- 295
Stars delta
- phoenix
- Unknown
- evidently
- +117 (30d)
Open issues delta
- phoenix
- Unknown
- evidently
- +10 (30d)
Full report
- phoenix
- Trust report
- evidently
- Trust report
Typed relationship
phoenix alternative evidentlyEvidently and Phoenix both provide observability frameworks for ML and LLMs, making them alternatives to each other.
Choose phoenix if…
- phoenix is primarily Python; evidently is Jupyter Notebook.
- License: phoenix is Other, evidently is Apache-2.0.
- Pricing: Pricing details or information about different pricing tiers is not provided in the repository content..
- Requirements: Min -1 GB RAM; Requires Docker.
- Evidently and Phoenix both provide observability frameworks for ML and LLMs, making them alternatives to each other.
- Tags unique to phoenix: agents, ai-monitoring, ai-observability, aiengineering.
- phoenix ships Docker support for self-hosted deployment.
- When your team requires a tool that offers advanced observability features specifically designed to track the performance of AI models overtime.
When NOT to use phoenix
- Consider another solution if your primary requirement is focused on generic monitoring tools that do not provide deep-dive observability features for AI models specifically.
- If you are constrained by the Elastic License 2.0 terms, which might not align with your organization's licensing preferences or compliance requirements.
Choose evidently if…
- evidently is primarily Jupyter Notebook; phoenix is Python.
- License: evidently is Apache-2.0, phoenix is Other.
- Evidently and Phoenix both provide observability frameworks for ML and LLMs, making them alternatives to each other.
- 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 (Arize-ai/phoenix) · observed Aug 1, 2026
- GitHub forks (Arize-ai/phoenix) · observed Aug 1, 2026
- Last push (Arize-ai/phoenix) · observed Aug 1, 2026
- License file (Other) · observed Aug 1, 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: phoenix 11k · evidently 7.8k (synced Aug 1, 2026).
Common questions
- What is the difference between phoenix and evidently?
- phoenix: AI Observability & Evaluation. evidently: An open-source ML and LLM observability framework.. See the comparison table for live GitHub stats and shared categories.
- When should I choose phoenix over evidently?
- Choose phoenix over evidently when phoenix is primarily Python; evidently is Jupyter Notebook; License: phoenix is Other, evidently is Apache-2.0; Pricing: Pricing details or information about different pricing tiers is not provided in the repository content.; Requirements: Min -1 GB RAM; Requires Docker; Evidently and Phoenix both provide observability frameworks for ML and LLMs, making them alternatives to each other; Tags unique to phoenix: agents, ai-monitoring, ai-observability, aiengineering; phoenix ships Docker support for self-hosted deployment; When your team requires a tool that offers advanced observability features specifically designed to track the performance of AI models overtime.
- When should I choose evidently over phoenix?
- Choose evidently over phoenix when evidently is primarily Jupyter Notebook; phoenix is Python; License: evidently is Apache-2.0, phoenix is Other; Evidently and Phoenix both provide observability frameworks for ML and LLMs, making them alternatives to each other; 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 phoenix?
- Consider another solution if your primary requirement is focused on generic monitoring tools that do not provide deep-dive observability features for AI models specifically. If you are constrained by the Elastic License 2.0 terms, which might not align with your organization's licensing preferences or compliance requirements.
- When should I avoid evidently?
- For developers preferring non-Jupyter based development environments Projects needing fewer, simpler monitoring tools without extensive metric support
- Is phoenix or evidently more popular on GitHub?
- phoenix has more GitHub stars (10,847 vs 7,790). Stars measure visibility, not whether either tool fits your constraints.
- Are phoenix and evidently open source?
- Yes - both are open-source projects on GitHub (phoenix: Other, evidently: Apache-2.0).
- Where can I find alternatives to phoenix or evidently?
- GraphCanon lists graph-backed alternatives at phoenix alternatives and evidently alternatives (phoenix 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, phoenix or evidently?
- phoenix: 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 phoenix and evidently?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: phoenix trust report; evidently trust report.