PyPI Stats
FedML-AI

fedml

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (FedML-AI/FedML) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
132
Week
433
Month
2.9K
Stars
4.0K
Forks
766
Issues
121
Version
0.9.6

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
40
Popularity
79
Adoption
34
Community
70
How the maintenance status was determined
Last commit
722 days ago
Monthly downloads
2,899
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
2,899
Stars
4,043
Stars per 1k downloads
1394.62
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
62
Month daily avg
97
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
Not specified
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
Package does not declare a minimum Python version.
License categories
License
Apache 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
436 days ago
Total releases
383
Releases/year
94.6
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
65
Monthly downloads
2,899
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
78
 
Issue Burden
29.9
per 1k stars
Discussions
1.2
per 1k stars
Fork Ratio
8.5%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Windows 5
Linux 4
macOS 2

Python Versions

3.8
54.5% 6
3.11
18.2% 2
3.12
9.1% 1
3.13
9.1% 1
3.14
9.1% 1

Top Countries

1. US US
5
2. DE DE
2
3. FR FR
2
4. CA CA
1
5. ID ID
1
6. IT IT
1
7. TR TR
1

Dependencies

50
20 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
Apache 2.0
First Release
April 20, 2022
Last Release
1 year ago
Last Commit
1 year ago
Latest Version
0.9.6
Total Releases
383
Contributors
65
Open PRs
25
Archived
No
Author
FedML Team
Python Versions
3 3.8 3.9 3.10
Wheels
py2 py3
Keywords
distributed machine learning federated learning natural language processing computer vision Internet of Things
Topics
federated-learning deep-learning distributed-training edge-ai machine-learning on-device-training inference-engine mlops model-deployment model-serving ai-agent
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links