PyPI Stats
skforecast

skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
PyPI GitHub
Downloads
Day
3.3K
Week
19.9K
Month
102.7K
Stars
1.5K
Forks
187
Issues
9
Version
0.22.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
100
Popularity
67
Adoption
50
Community
50
How the maintenance status was determined
Last commit
7 days ago
Monthly downloads
102,670
• 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
102,670
Stars
1,484
Stars per 1k downloads
14.45
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
2,836
Month daily avg
3,422
Momentum
-17.1%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
>=3.10
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
BSD-3-Clause
• 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
13 days ago
Total releases
34
Releases/year
7.2
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
21
Monthly downloads
102,670
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
61
 
Issue Burden
6.1
per 1k stars
Discussions
22.9
per 1k stars
Fork Ratio
11.2%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Linux 2.0K
Windows 49
macOS 24

Python Versions

3.8
44.5% 847
3.10
21.5% 410
3.11
19.4% 370
3.12
9.5% 180
3.9
5.1% 97

Top Countries

1. US US
1.5K
2. NL NL
170
3. IE IE
166
4. SG SG
70
5. DE DE
65
6. ES ES
21
7. AU AU
14
8. GB GB
12
9. CZ CZ
9
10. TW TW
8

Dependencies

9
33 optional dependencies

Used By

3

Package Information

License
BSD-3-Clause
First Release
August 5, 2021
Last Release
1 week ago
Last Commit
1 week ago
Latest Version
0.22.0
Total Releases
34
Contributors
21
Open PRs
2
Archived
No
Python Versions
3 3.10 3.11 3.12 3.13 3.14
Wheels
py2 py3
Keywords
data-science machine-learning data-mining time-series scikit-learn forecasting time-series-analysis time-series-regression autoregressive deep-learning lightgbm xgboost catboost
Topics
forecasting scikit-learn machine-learning python data-science exogenous-predictors time-series multi-series-forecasting multi-step-forecasting backtesting-forecasters arima sarimax lightgbm probabilistic-forecasting xgboost catboost deep-learning foundation-models prediction-intervals time-series-forecasting
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links