PyPI Stats
janosh

matbench-discovery

An evaluation framework for machine learning models simulating high-throughput materials discovery.
PyPI GitHub
Downloads
Day
1.4K
Week
8.8K
Month
32.2K
Stars
222
Forks
54
Issues
1
Version
1.3.1

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
90
Popularity
50
Adoption
75
Community
60
How the maintenance status was determined
Last commit
6 days ago
Monthly downloads
32,218
• 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
32,218
Stars
222
Stars per 1k downloads
6.89
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
1,250
Month daily avg
1,074
Momentum
+16.4%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
>=3.11
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
MIT 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
601 days ago
Total releases
10
Releases/year
3.1
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
33
Monthly downloads
32,218
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
77
 
Issue Burden
4.5
per 1k stars
Discussions
117.1
per 1k stars
Fork Ratio
61.1%
contrib / forks
Stale Release
595d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Linux 46
Windows 2

Python Versions

3.12
97.9% 47
3.11
2.1% 1

Top Countries

1. BE BE
70
2. US US
45
3. DE DE
2
4. KR KR
2
5. CA CA
1
6. JP JP
1

Dependencies

12
12 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
MIT License
First Release
February 10, 2023
Last Release
1 year ago
Last Commit
6 days ago
Latest Version
1.3.1
Total Releases
10
Contributors
33
Open PRs
3
Archived
No
Python Versions
3.11
Wheels
py2 py3
Keywords
Bayesian optimization convex hull high-throughput search inorganic crystal stability interatomic potential machine learning materials discovery
Topics
bayesian-optimization convex-hull machine-learning materials-discovery high-throughput-search interatomic-potential
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links