giskard-oss vs mlflow
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| giskard-oss | mlflow | |
|---|---|---|
| Tagline | Eval and test library for AI agents | The open source AI engineering platform for agents, LLMs, and ML models |
| Stars | 5.5k | 27k |
| Forks | 481 | 6.0k |
| Open issues | 73 | 2.0k |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks |
giskard-oss
Giskard is an open-source Python library designed to evaluate and test agentic systems such as AI agents. It supports dynamic multi-turn testing with enhanced security and RAG evaluation features.
Python
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