mlflow vs RagaAI-Catalyst
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| mlflow | RagaAI-Catalyst | |
|---|---|---|
| Tagline | The open source AI engineering platform for agents, LLMs, and ML models | Python SDK for Agent AI Observability, Monitoring and Evaluation Framework |
| Stars | 27k | 16k |
| Forks | 6.0k | 3.6k |
| Open issues | 2.0k | 34 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Feb 11, 2026 |
| Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, Developer Tools |
mlflow
MLflow is an open-source platform designed to help teams manage the lifecycle of both traditional machine learning (ML) and large language model (LLM) applications. It supports debugging, evaluation, monitoring, optimization of AI applications while managing costs and securing data access.
Python
RagaAI-Catalyst
RagaAI Catalyst provides tools for managing and optimizing LLM projects with features such as project management, dataset handling, evaluation tools, trace management, prompt management, synthetic data generation and guardrail management.
Python