PyPI Stats
predict-idlab

tsflex

Flexible time series feature extraction & processing
PyPI GitHub
Downloads
Day
131
Week
671
Month
23.7K
Stars
438
Forks
28
Issues
27
Version
0.4.1

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
40
Popularity
51
Adoption
43
Community
25
How the maintenance status was determined
Last commit
607 days ago
Monthly downloads
23,697
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
23,697
Stars
438
Stars per 1k downloads
18.48
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
96
Month daily avg
790
Momentum
-87.9%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
<3.13,>=3.8
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
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
607 days ago
Total releases
38
Releases/year
7.8
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
8
Monthly downloads
23,697
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
41
 
Issue Burden
61.6
per 1k stars
Discussions
2.3
per 1k stars
Fork Ratio
28.6%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Linux 8
Windows 4
macOS 2

Python Versions

3.12
42.9% 6
3.11
35.7% 5
3.9
21.4% 3

Top Countries

1. DE DE
30
2. BE BE
6
3. MX MX
5
4. US US
3
5. CA CA
1

Dependencies

5

Used By

1

Package Information

License
MIT
First Release
June 18, 2021
Last Release
1 year ago
Last Commit
1 year ago
Latest Version
0.4.1
Total Releases
38
Contributors
8
Open PRs
5
Archived
No
Author
Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost
Python Versions
3 3.8 3.9 3.10 3.11 3.12
Wheels
py3
Keywords
time-series processing feature-extraction data-science machine learning
Topics
python processing data-science time-series feature-extraction window-stride pandas multimodal multivariate feature-engineering
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links