PyPI Stats
mlflow

mlflow-by-ckl

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.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (mlflow/mlflow) with 11 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
15
Week
63
Month
1.3K
Stars
25.7K
Forks
5.7K
Issues
1.5K
Version
2.81.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
100
Popularity
91
Adoption
31
Community
90
How the maintenance status was determined
Last commit
1 days ago
Monthly downloads
1,339
• Active
Activity within 30 days
Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
1,339
Stars
25,727
Stars per 1k downloads
19213.59
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
• Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
9
Month daily avg
45
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
>=3.8
Cutting Edge
Minimum supported version is 3.12 or newer
Modern
Minimum supported version is 3.9, 3.10, or 3.11
• Legacy
Supports 3.8 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
Apache License 2.0
• Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
671 days ago
Total releases
44
Releases/year
16.9
Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
• Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
1,037
Monthly downloads
1,339
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
• Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
97
 
Issue Burden
58.6
per 1k stars
Discussions
16.0
per 1k stars
Fork Ratio
18.2%
contrib / forks
Stale Release
669d
 
PR Velocity
Active
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

No OS data available

Python Versions

No Python version data available

Top Countries

1. TR TR
2
2. CA CA
1

Dependencies

27
29 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
Apache License 2.0
First Release
September 29, 2023
Last Release
1 year ago
Last Commit
Yesterday
Latest Version
2.81.0
Total Releases
44
Contributors
1,037
Open PRs
553
Archived
No
Author
Databricks
Python Versions
3.8
Wheels
py3
Keywords
ml ai databricks
Topics
machine-learning ai ml mlflow apache-spark model-management agentops agents evaluation langchain llm-evaluation llmops observability open-source openai prompt-engineering ai-governance mlops
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links