Which is more popular, MLflow or UpTrain?

MLflow has more GitHub stars (28,241 vs 2,366).

Which is more actively developed, MLflow or UpTrain?

MLflow had more commits in the last 90 days (1,083 vs 0).

Should I use MLflow or UpTrain?

Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.

MLflow vs UpTrain

Side-by-side comparison of two AI agent tools

Short answer

UpTrain has had no commit in 26 months; MLflow is actively maintained (1,083 commits in the last 90 days).
MLflow is growing faster: +410 GitHub stars in the last 30 days vs +4 for UpTrain.
Pick MLflow for: open-source AI engineering platform for agents, LLMs, and ML models. Pick UpTrain for: open-source platform to evaluate and improve generative AI applications with 20+ preconfigured evaluations.

From GitHub data refreshed daily.

MLflowopen-source

Open-source AI engineering platform for agents, LLMs, and ML models

UpTrainopen-source

Open-source platform to evaluate and improve generative AI applications with 20+ preconfigured evaluations

Metrics

	MLflow	UpTrain
Stars	28.2k	2.4k
Star velocity /mo	410	4.2631578947368425
Commits (90d)	1.1k	0
Releases (6m)	10	0
Downloads (30d, npm + PyPI)	21.4M	—
Overall score	0.8184717317788615	0.17690248302421893

Pros

+Open-source platform with active community support and transparency
+Comprehensive evaluation framework with 20+ preconfigured checks covering multiple AI use cases
+Unified platform approach that handles both evaluation and improvement recommendations

Cons

-May require technical expertise to implement and configure effectively
-Evaluation accuracy depends on the quality and relevance of preconfigured checks

Use Cases

•Evaluating LLM application performance before production deployment
•Systematic testing of code generation and language processing AI models
•Quality assurance for embedding-based applications and retrieval systems

View MLflow Details View UpTrain Details

FAQ

Which is more popular, MLflow or UpTrain?: MLflow has more GitHub stars (28,241 vs 2,366).
Which is more actively developed, MLflow or UpTrain?: MLflow had more commits in the last 90 days (1,083 vs 0).
Should I use MLflow or UpTrain?: Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.