PyPI Stats
christophmark

bayesloop

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
PyPI GitHub
Downloads
Day
50
Week
119
Month
606
Stars
169
Forks
30
Issues
3
Version
1.5.7

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
80
Popularity
46
Adoption
27
Community
20
How the maintenance status was determined
Last commit
9 days ago
Monthly downloads
606
• 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
606
Stars
169
Stars per 1k downloads
278.88
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
17
Month daily avg
20
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
Not specified
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
Package does not declare a minimum Python version.
License categories
License
The MIT 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
1233 days ago
Total releases
17
Releases/year
1.8
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
2
Monthly downloads
606
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
32
 
Issue Burden
17.8
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
6.7%
contrib / forks
Stale Release
1223d
 
PR Velocity
Active
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

No OS data available

Python Versions

No Python version data available

Top Countries

1. CA CA
1

Dependencies

6

Used By

0
Not used by any tracked packages

Package Information

License
The MIT License (MIT)
First Release
December 5, 2016
Last Release
3 years ago
Last Commit
1 week ago
Latest Version
1.5.7
Total Releases
17
Contributors
2
Open PRs
1
Archived
No
Author
Christoph Mark
Keywords
bayes inference fitting model selection hypothesis testing time series time-varying marginal likelihood
Topics
time-series-analysis model-selection bayesian-inference anomaly-detection probabilistic-programming
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links