PyRank
janosh

matbench-discovery

An evaluation framework for machine learning models simulating high-throughput materials discovery.
PyPI GitHub
More links
Download Stats
Monthly downloads
13.3K
Weekly downloads
4.6K
GitHub stars
255

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
1.3.1
Requires Python
>=3.11
Licence
MIT License
Last Release
2 years ago
First Release
February 10, 2023
Total Releases
10
Python Versions
3.11
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
80
Popularity
52
Adoption
81
Community
50
Provenance
0
How the maintenance status was determined
Last commit
13 days ago
Monthly downloads
13,283
• 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
13,283
Stars
255
Stars per 1k downloads
19.20
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
656
Month daily avg
443
Momentum
+48.2%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
>=3.11
Cutting Edge
Minimum supported version is 3.14 or newer
• Modern
Minimum supported version is 3.11 to 3.13
Legacy
Supports 3.10 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
765 days ago
Total releases
10
Releases/year
2.7
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
41
Monthly downloads
13,283
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
67
 
Issue Burden
0.0
per 1k stars
Discussions
105.9
per 1k stars
Fork Ratio
56.9%
contrib / forks
Stale Release
751d
 
PR Velocity
Quiet
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 74

Python Versions

3.12
89.2% 66
3.14
6.8% 5
3.13
2.7% 2
3.11
1.4% 1

Top Countries

1. BE BE
416
2. US US
67
3. CN CN
6
4. SG SG
2
5. CL CL
1
6. DE DE
1

Weekly Downloads

GitHub Stars

Dependencies

12
12 optional dependencies
  • alignn>=2024.1.14[running-models]
    extra == "running-models"
  • chgnet>=0.3.0[running-models]
    extra == "running-models"
  • crystal-toolkit>=2023.11.3[3d-structures]
    extra == "3d-structures"
  • gdown>=5.1[fetch-wbm-data]
    extra == "fetch-wbm-data"
  • jarvis-tools[running-models]
    extra == "running-models"
  • m3gnet>=0.2.4[running-models]
    extra == "running-models"
  • mace-torch>=0.3.6[running-models]
    extra == "running-models"
  • maml>=2023.9.9[running-models]
    extra == "running-models"
  • megnet>=1.3.2[running-models]
    extra == "running-models"
  • pytest>=8.1[test]
    extra == "test"
  • pytest-cov>=5[test]
    extra == "test"
  • umap-learn>=0.5.5[make-wbm-umap]
    extra == "make-wbm-umap"

Used By

0
Not used by any tracked packages

Repository details

Forks
72
Issues
0
Last Commit
2 weeks ago
Contributors
41
Open PRs
0
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
Bayesian optimization convex hull high-throughput search inorganic crystal stability interatomic potential machine learning materials discovery
Sources and methodology