# MLflow vs Petals — Fit & Features

Canonical: https://trutool.co/compare/mlflow-vs-petals
Author: Snehil (https://trutool.co/authors/snehil)

Compare MLflow and Petals by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### MLflow
Track experiments and manage the lifecycle of machine learning and generative AI applications.
Best fit: Machine learning teams building, serving, and operating model workloads.
- Experiment tracking
- Model registry
- AI evaluation
Before you choose: Benchmark your workload, verify model licenses and hardware requirements, and compare inference, hosting, and storage costs.
Pricing: https://mlflow.org
- [Read MLflow profile](https://trutool.co/tools/mlflow): Read MLflow profile

### Petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading.
Best fit: People and teams evaluating ai models & inference for a specific workflow.
- Core product workflow
Before you choose: Test a representative task, inspect outputs, and confirm integrations, permissions, data handling, licensing, and current costs.
Pricing: https://github.com/pricing
- [Read Petals profile](https://trutool.co/tools/petals): Read Petals profile