
uptrain
by uptrain-ai (organization)
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them. (description from the project’s GitHub page)
Repository facts
- Stars
- 2,366
- Forks
- 206
- Open issues and pull requests
- 66
- Primary language
- Python
- License
- Apache License 2.0 (Apache-2.0)
- Owner
- uptrain-ai · Organization
- Created
- Nov 7, 2022
- Last push
- Aug 18, 2024
Topics
Add this badge to your README
Shows this repository’s rank in AI on GitHub and links back to this page. Ranks are by stars and change when the list is refreshed. The badge is not an endorsement or a rating. About the badges
Markdown (for a README)
[](https://unitedstatesofamericasuperintelligence.com/github/uptrain-ai--uptrain/)
HTML
<a href="https://unitedstatesofamericasuperintelligence.com/github/uptrain-ai--uptrain/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/github/uptrain-ai--uptrain.svg" alt="Ranked #3,199 in AI on GitHub" height="20"></a>
Related projects
Projects that share this one’s GitHub topics.
Rank 314: promptfoo/promptfoo
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative confi…
26,109 starsTypeScriptMITLast push Oct 18, 2026
Rank 198: langfuse/langfuse
🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
35,996 starsTypeScriptOther licenseLast push Oct 18, 2026
Rank 1,300: Helicone/helicone
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
6,225 starsTypeScriptApache-2.0Last push Oct 10, 2026
Rank 289: mlflow/mlflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applicat…
28,438 starsPythonApache-2.0Last push Oct 18, 2026
Rank 680: Arize-ai/phoenix
AI Observability & Evaluation
11,897 starsPythonOther licenseLast push Oct 17, 2026
Rank 361: comet-ml/opik
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
22,708 starsPythonApache-2.0Last push Oct 18, 2026