PyPI Stats
arogozhnikov

hep-ml

Machine Learning for High Energy Physics.
PyPI GitHub
Downloads
Day
99
Week
504
Month
3.8K
Stars
198
Forks
70
Issues
23
Version
0.8.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
55
Popularity
50
Adoption
35
Community
50
How the maintenance status was determined
Last commit
156 days ago
Monthly downloads
3,787
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
3,787
Stars
198
Stars per 1k downloads
52.28
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
72
Month daily avg
126
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
>3.9
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 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
309 days ago
Total releases
12
Releases/year
1.1
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
10
Monthly downloads
3,787
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
43
 
Issue Burden
116.2
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
14.3%
contrib / forks
Stale Release
153d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Linux 17

Python Versions

3.11
47.1% 8
3.9
29.4% 5
3.12
11.8% 2
3.7
11.8% 2

Top Countries

1. FR FR
3
2. IE IE
3
3. NL NL
3
4. US US
3
5. CH CH
2
6. CN CN
2
7. SG SG
2
8. CA CA
1

Dependencies

4
20 optional dependencies

Used By

3

Package Information

License
Apache 2.0
First Release
July 27, 2015
Last Release
10 months ago
Last Commit
5 months ago
Latest Version
0.8.0
Total Releases
12
Contributors
10
Open PRs
0
Archived
No
Author
Alex Rogozhnikov
Wheels
py3
Keywords
high energy physics machine learning particle physics supervised learning uncorrelated methods of machine learning
Topics
machine-learning high-energy-physics python splot neural-networks boosting-algorithms reweighting-algorithms scikit-learn
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links