Comparison
phoenix vs uptrain
Verdict
Pick phoenix if phoenix is an AI observability and evaluation tool designed for monitoring and evaluating AI models and systems, with a focus on observability and evaluation metrics; 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 Sep 20, 2026
30views this month
Trust & integrity
| Signal | phoenix | uptrain |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (762d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- 12k
- uptrain
- 2.4k
Forks
- phoenix
- 1.1k
- uptrain
- 205
Open issues
- phoenix
- 1.0k
- uptrain
- 65
Language
- phoenix
- Python
- uptrain
- Python
Adopt for
- phoenix
- Phoenix is an AI observability and evaluation tool designed for monitoring and evaluating AI models and systems, with a focus on observability and evaluation metrics.
- 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
- Phoenix is licensed under the Elastic License 2.0 (ELv2), which allows for use, modification, and distribution under certain conditions, but also includes patent protection for some code portions.
- uptrain
- The tool is available under the Apache-2.0 license, suitable for both free and commercial use with appropriate attribution.
Last pushed
- phoenix
- Sep 18, 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
- 762d
Open issues (now)
- phoenix
- 1.0k
- uptrain
- 65
Stars delta
- phoenix
- +681 (30d)
- uptrain
- +6 (30d)
Open issues delta
- phoenix
- +164 (30d)
- uptrain
- +7 (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: The pricing model for Phoenix is not specified in the provided repository data..
- Requirements: Phoenix is written in Python and requires a Python environment to run..
- 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, llm-evaluation.
- Use Phoenix when you need comprehensive observability features for your AI models and systems, as it is specifically designed to provide detailed insights into model performance and behavior.
When NOT to use phoenix
- Avoid Phoenix if your project requires a tool that is not covered by the Elastic License 2.0, as Phoenix is licensed under this specific license.
- Do not use Phoenix if your project strictly avoids tools with patent-protected code, as Phoenix includes portions of code that are patent protected.
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 Sep 20, 2026
- GitHub forks (Arize-ai/phoenix) · observed Sep 20, 2026
- Last push (Arize-ai/phoenix) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (uptrain-ai/uptrain) · observed Sep 20, 2026
- GitHub forks (uptrain-ai/uptrain) · observed Sep 20, 2026
- Last push (uptrain-ai/uptrain) · observed Aug 18, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: phoenix 12k · uptrain 2.4k (synced Sep 20, 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: The pricing model for Phoenix is not specified in the provided repository data.; Requirements: Phoenix is written in Python and requires a Python environment to run.; 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, llm-evaluation; Use Phoenix when you need comprehensive observability features for your AI models and systems, as it is specifically designed to provide detailed insights into model performance and behavior.
- 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?
- Avoid Phoenix if your project requires a tool that is not covered by the Elastic License 2.0, as Phoenix is licensed under this specific license. Do not use Phoenix if your project strictly avoids tools with patent-protected code, as Phoenix includes portions of code that are patent protected.
- 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 (11,528 vs 2,365). 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.