PyRank
hippke

wotan

Automagically remove trends from time-series data
PyPI GitHub
More links
Download Stats
Monthly downloads
127.0K
Weekly downloads
20.0K
GitHub stars
177

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

Package Information

Latest Version
2.0
Requires Python
Not specified
Licence
MIT
Last Release
5 days ago
Author
Michael Hippke
First Release
April 23, 2019
Total Releases
18
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
30
Popularity
45
Adoption
51
Community
20
Provenance
0
How the maintenance status was determined
Last commit
1848 days ago
Monthly downloads
127,024
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
127,024
Stars
177
Stars per 1k downloads
1.39
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
2,851
Month daily avg
4,234
Momentum
-32.7%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
Not specified
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
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
4 days ago
Total releases
18
Releases/year
2.4
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
1
Monthly downloads
127,024
• 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
28
 
Issue Burden
135.6
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
4.2%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 3.7K
macOS 14
Windows 10

Python Versions

3.10
77.1% 2.9K
3.12
20.8% 781
3.13
0.9% 35
3.11
0.8% 29
3.9
0.3% 12

Top Countries

1. US US
3.7K
2. SG SG
40
3. GB GB
7
4. NL NL
7
5. CA CA
5
6. IN IN
5
7. JP JP
5
8. CN CN
3
9. DE DE
3
10. FI FI
3

Weekly Downloads

GitHub Stars

Dependencies

0
No dependencies

Used By

10

Repository details

Forks
24
Issues
24
Last Commit
5 years ago
Contributors
1
Open PRs
2
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Sources and methodology