No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
mlflow has 39.2M monthly downloads and 27K GitHub stars. Version 3.14.0 supports Python 3.10+, first published in 2018.
It is actively maintained under a permissive license, last released in Jun 2026.
It is built on top of aiohttp, alembic and cryptography. It is used by 601 tracked packages, including databricks-langchain, sagemaker-serve and sagemaker-train.
GitHub topics include machine-learning, ai and ml.
Provenance Mismatch
This package's publish attestation (PEP 740) proves it builds from mlflow/releases, not the linked mlflow/mlflow. Stars and other GitHub metrics shown here come from the claimed repository.
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
92
Adoption
80
Community
90
Provenance
0
How the maintenance status was determined
Last commit
3 days ago
Monthly downloads
39,242,575
•
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
39,242,575
Stars
26,884
Stars per 1k downloads
0.69
•
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
1,309,368
Month daily avg
1,308,086
Momentum
+0.1%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
>=3.10
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
19 days ago
Total releases
182
Releases/year
22.5
•
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
1,073
Monthly downloads
39,242,575
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
54.0
per 1k stars
Discussions
15.8
per 1k stars
Fork Ratio
18.0%
contrib / forks
Stale Release
No
PR Velocity
Active
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
875.8K
Windows
7.3K
macOS
5.5K
Python Versions
3.12
36.1%
307.4K
3.11
33.3%
283.5K
3.10
18.1%
154.3K
3.9
7.7%
65.3K
3.13
4.9%
41.4K
Top Countries
1.
US
634.9K
US
2.
IE
61.0K
IE
3.
NL
56.4K
NL
4.
DE
23.9K
DE
5.
IN
17.0K
IN
6.
CA
16.9K
CA
7.
SG
14.2K
SG
8.
AU
10.4K
AU
9.
CN
8.1K
CN
10.
KR
8.1K
KR
Dependencies
20
- aiohttp <4,>=3.7.0
- alembic !=1.10.0,<2
- cryptography <49,>=43.0.0
- docker <8,>=4.0.0
- flask <4
- flask-cors <7
- graphene <4
- gunicorn <27
- huey <4,>=2.5.4
- matplotlib <4
- mlflow-skinny ==3.14.0
- mlflow-tracing ==3.14.0
- numpy <3
- pandas <3
- pyarrow <25,>=4.0.0
- scikit-learn <2
- scipy <2
- skops <1
- sqlalchemy <3,>=1.4.0
- waitress <4
39 optional dependencies
- aliyunstoreplugin[aliyun-oss]
- azure-identity[azure]
- azure-storage-blob[azure]
- azure-storage-file-datalake[databricks]
- azureml-core[extras]
- boto3[databricks]
- boto3[gateway]
- boto3[genai]
- boto3[extras]
- botocore[extras]
- botocore[databricks]
- click[mcp]
- databricks-agents[databricks]
- fastapi[gateway]
- fastapi[genai]
- fastmcp[mcp]
- flask-wtf[auth]
- google-cloud-storage[databricks]
- google-cloud-storage[extras]
- kubernetes[extras]
- kubernetes[kubernetes]
- langchain[langchain]
- mlflow-dbstore[sqlserver]
- mlflow-jfrog-plugin[jfrog]
- prometheus-flask-exporter[extras]
- psycopg2-binary[db]
- pyarrow[extras]
- pymssql[db]
- pymysql[db]
- pysftp[extras]
- requests-auth-aws-sigv4[extras]
- slowapi[gateway]
- slowapi[genai]
- tiktoken[gateway]
- tiktoken[genai]
- uvicorn[gateway]
- uvicorn[genai]
- watchfiles[gateway]
- watchfiles[genai]
Used By
601
- databricks-langchain
- sagemaker-serve
- sagemaker-train
- databricks-openai
- databricks-mcp
- langchain-databricks
- mlserver-mlflow
- kedro-mlflow
- dagster-mlflow
- mlflow-oidc-auth
- pyqlib
- mlflow-export-import
- databricks-genai
- llm-foundry
- databricks-feature-lookup
- nemo-automodel
- fedml-databricks
- nubison-model
- azureml-evaluate-mlflow
- wedata-pre-code
- rdagent
- merlin-sdk
- nemo-gym
- dao-ai
- rapidfireai
- megatron-bridge
- domino-code-assist
- fasttrackml
- cogflow
- synalinks
- syngen
- flytekitplugins-mlflow
- mlflow-dbstore
- mlflow-jfrog-plugin
- pixee-eval-sdk
- aliyunstoreplugin
- databricks-tellr-app
- cheutils
- time-series-anomaly-detector
- asynth
- bluer-objects
- regcode
- agent-os-server
- flyteplugins-mlflow
- akasha-terminal
- probabilistic-model
- lerim
- modeva
- gluellm
- hydraflow
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
Apache License 2.0
First Release
June 4, 2018
Last Release
2 weeks ago
Last Commit
3 days ago
Latest Version
3.14.0
Total Releases
182
Contributors
1,073
Open PRs
582
Archived
No
Python Versions
3.10
Wheels
py2
py3
Keywords
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh