PyPI Stats
mala-project

materials-learning-algorithms

Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.
PyPI GitHub
Downloads
Day
30
Week
37
Month
287
Stars
98
Forks
27
Issues
28
Version
1.4.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
30
Popularity
42
Adoption
24
Community
60
How the maintenance status was determined
Last commit
232 days ago
Monthly downloads
287
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
287
Stars
98
Stars per 1k downloads
341.46
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
5
Month daily avg
10
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
>=3.10.4
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
BSD 3-Clause License
• 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
338 days ago
Total releases
5
Releases/year
1.2
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
29
Monthly downloads
287
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
60
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
107.4%
contrib / forks
Stale Release
106d
 
PR Velocity
Quiet
 

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. CA CA
1

Dependencies

15
15 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
BSD 3-Clause License
First Release
April 27, 2022
Last Release
11 months ago
Last Commit
7 months ago
Latest Version
1.4.0
Total Releases
5
Contributors
29
Open PRs
2
Archived
No
Author
MALA developers
Topics
machine-learning dft density-functional-theory electronic-structure neural-network
Tracking Since
January 21, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links