MLflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-
Our verdict
A usable project with some maintenance caveats. This assessment is derived from GitHub's own repository metrics on 2026-08-30, not from hands-on testing.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data. The project is written primarily in Python, released under Apache-2.0, and has 27,734 stars and 6,233 forks on GitHub. 1,161 contributors have committed to it, and the most recent push was 2026-08-30. The latest tagged release is model-catalog/latest (2026-04-06). Figures come from the GitHub API on 2026-08-30 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.
Repository
- Licence
- Apache-2.0
- Language
- Python
- Last push
- 2026-08-30
Releases
-
model-catalog/latestModel Catalog -
v3.15.2v3.15.2 -
v3.15.1MLflow 3.15.1 -
v3.15.0v3.15.0 -
v3.14.0v3.14.0 -
v3.13.0v3.13.0
Pros and cons
Pros
Cons
Pricing
- Free tierYes
- LicenceApache-2.0
- Self-hostYes, source is public
- Public price listNot published
MLflow does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales. Why we do this
Visit mlflow.orgTrends
Price points are recorded when a price moves, not on a schedule, so a flat run means the price held. Release cadence comes from GitHub releases. A series appears only once we have watched it for long enough to have more than one observation.
What users actually say
- Could anyone who uses MLFlow answer some questions I … Reddit · 2025
- MLflow vs Kubeflow Reddit · 2024
- Practical SageMaker + MLflow Stage/Prod Workflow for … Reddit · N/A
We link to discussions rather than reproducing them. Opinions belong to their authors.
User reviews
No one has reviewed MLflow here yet. Reviews are moderated before they appear, and our own score is editorial and separate from user ratings, though once reviews land they do lift it.
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Side by side
| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| MLflow this page | 6.7 | - | Yes | ||
| Netdata | 7.6 | - | Yes | ||
| Vector | 7 | - | Yes | ||
| Braintrust | 6.5 | $4 | Yes | ||
| Artificial Analysis | 5.3 | - | - | ||
| Ayewatch | 4.1 | $9 | - | ||
| Aepto | 3.5 | $9 | Yes |
Questions
Is mlflow free?
Yes. mlflow advertises a free tier on its own site.
How much does mlflow cost?
mlflow does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales.
Is mlflow open source?
Yes. mlflow is a public repository released under Apache-2.0. You can self-host or inspect the source directly.
How is mlflow scored here?
mlflow scores 6.7 out of 10. That comes from a desk review of public evidence, which is capped at 8.5 out of 10: public pricing, documentation, maintenance signals and how much we could actually verify. Affiliate relationships are excluded from scoring entirely. The full rubric is published on our methodology page.