PyRank
choderalab

pymbar

Python implementation of the multistate Bennett acceptance ratio (MBAR)
PyPI GitHub
More links
Download Stats
Monthly downloads
66.9K
Weekly downloads
21.1K
GitHub stars
318

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

Package Information

Latest Version
4.0.3
Requires Python
>=3.6
Licence
MIT
Last Release
2 years ago
Author
Levi N. Naden and Jaime Rodriguez-Guerra and Michael R. Shirts and John D. Chodera
First Release
August 11, 2013
Total Releases
13
Python Versions
3
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
40
Popularity
55
Adoption
88
Community
80
Provenance
0
How the maintenance status was determined
Last commit
245 days ago
Monthly downloads
66,864
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
66,864
Stars
318
Stars per 1k downloads
4.76
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
3,020
Month daily avg
2,229
Momentum
+35.5%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
>=3.6
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
• 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
938 days ago
Total releases
13
Releases/year
1.0
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
39
Monthly downloads
66,864
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
83
 
Issue Burden
396.2
per 1k stars
Discussions
34.6
per 1k stars
Fork Ratio
38.2%
contrib / forks
Stale Release
693d
 
PR Velocity
Quiet
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 1.6K
macOS 850
Windows 7

Python Versions

3.12
60.6% 1.4K
3.14
31.1% 734
3.11
5.3% 125
3.10
1.9% 44
3.13
1.2% 28

Top Countries

1. US US
2.3K
2. BE BE
416
3. IE IE
51
4. SG SG
35
5. HK HK
22
6. CN CN
14
7. DE DE
10
8. IN IN
8
9. GB GB
7
10. JP JP
6

Weekly Downloads

GitHub Stars

Dependencies

3
2 optional dependencies
  • jax[jax]
    platform_system != "Windows" and extra == "jax"
  • jaxlib[jax]
    platform_system != "Windows" and extra == "jax"

Used By

11
View all 11 dependents

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
molecular mechanics forcefield Bayesian parameterization
Sources and methodology