PyRank
patrick-kidger

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
PyPI GitHub
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

equinox has 1.5M monthly downloads and 3K GitHub stars. Version 0.13.8 supports Python 3.10+, first published in 2021.

It is actively maintained under a permissive license, last released in May 2026.

It is built on top of jax, jaxtyping and typing-extensions. It is used by 327 tracked packages, including nequix, lineax and optimistix.

GitHub topics include deep-learning, jax and neural-networks.

Downloads
Day
28.2K
Week
228.2K
Month
1.5M
Stars
2.9K
Forks
204
Issues
230
Version
0.13.8

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
90
Popularity
71
Adoption
60
Community
60
Provenance
0
How the maintenance status was determined
Last commit
9 days ago
Monthly downloads
1,483,284
• 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
1,483,284
Stars
2,916
Stars per 1k downloads
1.97
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
32,594
Month daily avg
49,443
Momentum
-34.1%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
>=3.10
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 License 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
62 days ago
Total releases
68
Releases/year
13.9
• 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
87
Monthly downloads
1,483,284
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
61
 
Issue Burden
78.9
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
42.6%
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 17.8K
macOS 1.0K
Windows 277

Python Versions

3.12
46.4% 8.7K
3.11
35.2% 6.6K
3.14
7.7% 1.4K
3.13
5.5% 1.0K
3.10
5.2% 986

Top Countries

1. US US
16.5K
2. HK HK
586
3. NL NL
540
4. SG SG
462
5. BE BE
223
6. ES ES
207
7. CN CN
171
8. FR FR
168
9. CA CA
100
10. IE IE
84
GitHub Topics
Tags from the package's GitHub repository describing what it does.

Package Information

License
Apache License 2.0
First Release
August 12, 2021
Last Release
2 months ago
Last Commit
1 week ago
Latest Version
0.13.8
Total Releases
68
Contributors
87
Open PRs
14
Archived
No
Python Versions
3
Wheels
py3
Keywords
deep-learning equinox jax neural-networks
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links