PyRank
lucidrains

ema-pytorch

A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
PyPI GitHub
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Downloads
Day
6.3K
Week
48.6K
Month
210.0K
Stars
654
Forks
41
Issues
6
Version
0.7.9

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
50
Popularity
55
Adoption
63
Community
30
Provenance
0
How the maintenance status was determined
Last commit
199 days ago
Monthly downloads
210,004
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
210,004
Stars
654
Stars per 1k downloads
3.11
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
6,937
Month daily avg
7,000
Momentum
-0.9%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
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
MIT
• 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
199 days ago
Total releases
54
Releases/year
13.3
• 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
13
Monthly downloads
210,004
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
32
 
Issue Burden
9.2
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
31.7%
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

Linux 3.7K
Windows 1.4K
macOS 347

Python Versions

3.12
50.1% 2.7K
3.11
19.9% 1.1K
3.10
16.6% 889
3.13
10.4% 556
3.14
2.9% 157

Top Countries

1. US US
2.5K
2. SG SG
497
3. IN IN
207
4. DE DE
167
5. NL NL
162
6. BR BR
130
7. KR KR
125
8. VN VN
107
9. RU RU
99
10. CN CN
98
GitHub Topics
Tags from the package's GitHub repository describing what it does.

Package Information

License
MIT
First Release
June 20, 2022
Last Release
6 months ago
Last Commit
6 months ago
Latest Version
0.7.9
Total Releases
54
Contributors
13
Open PRs
1
Archived
No
Author
Phil Wang
Python Versions
3.6
Wheels
py3
Keywords
artificial intelligence deep learning exponential moving average
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links