Comparison
phoenix vs uptrain
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 uptrain if upTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights.
Markdown twin · phoenix alternatives · uptrain alternatives
GraphCanon updated today
Trust & integrity
| Signal | phoenix | uptrain |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Dormant (731d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of today · 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
- uptrain
- Unified platform for evaluating and improving Generative AI applications
Stars
- phoenix
- 11k
- uptrain
- 2.4k
Forks
- phoenix
- 1.0k
- uptrain
- 204
Open issues
- phoenix
- 839
- uptrain
- 58
Language
- phoenix
- Python
- uptrain
- Python
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.
- uptrain
- UpTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights.
Persona
- phoenix
- -
- uptrain
- -
Runtime
- phoenix
- -
- uptrain
- -
License
- phoenix
- Other
- uptrain
- The tool is available under the Apache-2.0 license, suitable for both free and commercial use with appropriate attribution.
Last pushed
- phoenix
- Aug 1, 2026
- uptrain
- Aug 18, 2024
Categories
- phoenix
- Evaluation & Observability
- uptrain
- Evaluation & Observability
Trust and health
Maintenance
- phoenix
- Very active (96%)
- uptrain
- Dormant (18%)
Days since push
- phoenix
- 0d
- uptrain
- 731d
Open issues (now)
- phoenix
- 839
- uptrain
- 58
Stars delta
- phoenix
- Unknown
- uptrain
- +4 (30d)
Open issues delta
- phoenix
- Unknown
- uptrain
- +3 (30d)
Full report
- phoenix
- Trust report
- uptrain
- Trust report
Typed relationship
phoenix alternative uptrainPhoenix from Arize AI is also centered around the observability and evaluation of ML models, making it comparable in purpose to UpTrain while differing in specific features.
Choose phoenix if…
- License: phoenix is Other, uptrain 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.
- Phoenix from Arize AI is also centered around the observability and evaluation of ML models, making it comparable in purpose to UpTrain while differing in specific features.
- Tags unique to phoenix: agents, ai-monitoring, ai-observability, aiengineering.
- 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 uptrain if…
- License: uptrain is Apache-2.0, phoenix is Other.
- UpTrain can be installed on-premises using pip or accessed through a managed version.
- Phoenix from Arize AI is also centered around the observability and evaluation of ML models, making it comparable in purpose to UpTrain while differing in specific features.
- Tags unique to uptrain: autoevaluation, evaluation, experimentation, hallucination-detection.
- - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings.
When NOT to use uptrain
- - When your application does not require extensive monitoring or do not need insights into improving Generative AI performance through root cause analysis.
- - If you prioritize a highly hands-off user experience without the capability to customize evaluation checks, consider using UpTrain's managed version instead of self-managing it.
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 (uptrain-ai/uptrain) · observed Aug 20, 2026
- GitHub forks (uptrain-ai/uptrain) · observed Aug 20, 2026
- Last push (uptrain-ai/uptrain) · observed Aug 18, 2024
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: phoenix 11k · uptrain 2.4k (synced Aug 1, 2026).
Common questions
- What is the difference between phoenix and uptrain?
- phoenix: AI Observability & Evaluation. uptrain: Unified platform for evaluating and improving Generative AI applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose phoenix over uptrain?
- Choose phoenix over uptrain when License: phoenix is Other, uptrain 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; Phoenix from Arize AI is also centered around the observability and evaluation of ML models, making it comparable in purpose to UpTrain while differing in specific features; Tags unique to phoenix: agents, ai-monitoring, ai-observability, aiengineering; 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 uptrain over phoenix?
- Choose uptrain over phoenix when License: uptrain is Apache-2.0, phoenix is Other; UpTrain can be installed on-premises using pip or accessed through a managed version; Phoenix from Arize AI is also centered around the observability and evaluation of ML models, making it comparable in purpose to UpTrain while differing in specific features; Tags unique to uptrain: autoevaluation, evaluation, experimentation, hallucination-detection; - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings.
- 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 uptrain?
- - When your application does not require extensive monitoring or do not need insights into improving Generative AI performance through root cause analysis. - If you prioritize a highly hands-off user experience without the capability to customize evaluation checks, consider using UpTrain's managed version instead of self-managing it.
- Is phoenix or uptrain more popular on GitHub?
- phoenix has more GitHub stars (10,847 vs 2,359). Stars measure visibility, not whether either tool fits your constraints.
- Are phoenix and uptrain open source?
- Yes - both are open-source projects on GitHub (phoenix: Other, uptrain: Apache-2.0).
- Where can I find alternatives to phoenix or uptrain?
- GraphCanon lists graph-backed alternatives at phoenix alternatives and uptrain alternatives (phoenix markdown twin, uptrain 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 uptrain?
- phoenix: Very active. uptrain: Dormant. 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 uptrain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: phoenix trust report; uptrain trust report.