PyRank
rlabbe

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (rlabbe/filterpy) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
66.1K
Week
457.7K
Month
2.1M
Stars
3.8K
Forks
672
Issues
72
Version
1.4.5

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
40
Popularity
78
Adoption
70
Community
60
How the maintenance status was determined
Last commit
1369 days ago
Monthly downloads
2,140,751
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
2,140,751
Stars
3,827
Stars per 1k downloads
1.79
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
65,384
Month daily avg
71,358
Momentum
-8.4%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
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
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
2780 days ago
Total releases
46
Releases/year
3.9
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
33
Monthly downloads
2,140,751
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
18.8
per 1k stars
Discussions
0.3
per 1k stars
Fork Ratio
4.9%
contrib / forks
Stale Release
1411d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Linux 53.0K
Windows 4.8K
macOS 1.7K

Python Versions

3.10
72.4% 40.6K
3.12
12.4% 6.9K
3.11
6.2% 3.5K
3.9
5.3% 3.0K
3.7
3.7% 2.1K

Top Countries

1. US US
27.5K
2. AU AU
5.5K
3. SG SG
5.1K
4. DE DE
2.9K
5. KR KR
2.6K
6. BR BR
2.4K
7. SE SE
2.4K
8. IE IE
2.3K
9. ZA ZA
2.3K
10. JP JP
1.3K

Package Information

License
MIT
First Release
September 1, 2014
Last Release
7 years ago
Last Commit
3 years ago
Latest Version
1.4.5
Total Releases
46
Contributors
33
Open PRs
10
Archived
No
Author
Roger Labbe
Python Versions
2 2.7 3 3.4 3.5 3.6
Keywords
Kalman filters filtering optimal estimation tracking
Tracking Since
January 6, 2026
Data Updated
May 17, 2026
Data Freshness
Fresh

Links