MLflow

Track experiments and ship models without the spreadsheet

ML frameworks & MLOpsExperiment trackingApache-2.0Runs locallyPythonBeginner

OSAI Pulse ⓘ ★★★★★★★★★★ /100 signals tracked

🐳 Docker pulls 📦 PyPI downloads / month 📦 npm downloads / month 🚀 Latest release ·

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What is MLflow?

MLflow records every run, its parameters and its metrics, then packages the winning model for deployment — the open answer to Weights & Biases.

Why people choose MLflow

Self-hostable, no per-seat pricing
Works with any framework
Model registry and deployment included

MLflow at a glance

Category	ML frameworks & MLOps
Type	Experiment tracking
License	Apache-2.0
Runs locally	Yes
Built with	Python
Skill level	Beginner
Best for	any team that has lost track of which run produced the good model

Open-source alternatives to MLflow

Other open-source ml frameworks & mlops tools worth comparing:

DagsterOrchestration that thinks in data assets, not tasks

TensorFlowGoogle's deep-learning framework, built for production

PyTorchThe framework nearly every modern AI model is written in

OpenCVThe computer vision library everything else builds on

scikit-learnClassical machine learning, done properly

Apache AirflowSchedule and monitor data pipelines

RayScale Python from a laptop to a cluster

JAXNumPy with autodiff, JIT and TPUs

XGBoostStill the one to beat on tabular data

Label StudioLabel anything — text, images, audio, video

ONNXMove a model between frameworks and runtimes

LightGBMGradient boosting that trains fast on big tables

CVATSerious annotation for computer vision

DVCGit for datasets and models

OptunaFind the right hyperparameters without guessing

MLflow head-to-head

MLflow vs Dagster MLflow vs TensorFlow MLflow vs PyTorch MLflow vs OpenCV MLflow vs scikit-learn MLflow vs Apache Airflow MLflow vs Ray MLflow vs JAX MLflow vs XGBoost MLflow vs Label Studio MLflow vs ONNX MLflow vs LightGBM MLflow vs CVAT MLflow vs DVC MLflow vs Optuna

FAQ

Is MLflow free?

MLflow is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.

Can I run MLflow locally?

Yes. MLflow is designed to run on your own machine or server, keeping your data private.

What is the best alternative to MLflow?

Popular open-source alternatives include Dagster, TensorFlow, PyTorch. See the comparisons above to choose.

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