PyRank
blackjax-devs

blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
PyPI GitHub
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

blackjax has 173K monthly downloads and 1K GitHub stars. Version 1.5 supports Python 3.11+, first published in 2020.

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

It is built on top of jax, jaxlib and numpy. It is used by 39 tracked packages, including ximinf, sbijax and rheedium.

GitHub topics include probabilistic-programming, bayesian-inference and sampling-methods.

Shared Repository
This package shares its GitHub repository (blackjax-devs/blackjax) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
5.0K
Week
42.7K
Month
172.5K
Stars
1.1K
Forks
142
Issues
40
Version
1.5

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
64
Adoption
72
Community
65
Provenance
0
How the maintenance status was determined
Last commit
2 days ago
Monthly downloads
172,509
• 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
172,509
Stars
1,094
Stars per 1k downloads
6.34
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
6,102
Month daily avg
5,750
Momentum
+6.1%
((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
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
95 days ago
Total releases
32
Releases/year
5.7
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
66
Monthly downloads
172,509
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
80
 
Issue Burden
36.6
per 1k stars
Discussions
71.3
per 1k stars
Fork Ratio
46.5%
contrib / forks
Stale Release
92d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Linux 4.3K
Windows 209
macOS 30

Python Versions

3.12
65.5% 2.9K
3.11
11.9% 533
3.13
10.0% 449
3.10
7.9% 352
3.14
4.8% 213

Top Countries

1. IE IE
2.2K
2. US US
1.8K
3. JP JP
210
4. GB GB
137
5. SG SG
71
6. DE DE
51
7. NL NL
43
8. NP NP
12
9. KR KR
10
10. CN CN
6
GitHub Topics
Tags from the package's GitHub repository describing what it does.

Package Information

License
Apache License 2.0
First Release
November 30, 2020
Last Release
3 months ago
Last Commit
3 days ago
Latest Version
1.5
Total Releases
32
Contributors
66
Open PRs
6
Archived
No
Python Versions
3.11 3.12 3.13
Wheels
py3
Keywords
probability machine learning statistics mcmc sampling
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links