PyPI Stats
mikekeith52

scalecast

The practitioner's forecasting library
PyPI GitHub

Shared Repository

This package shares its GitHub repository (mikekeith52/scalecast) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
25
Week
995
Month
6.8K
Stars
352
Forks
40
Issues
2
Version
0.21.1

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
80
Popularity
51
Adoption
38
Community
30
How the maintenance status was determined
Last commit
59 days ago
Monthly downloads
6,818
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
6,818
Stars
352
Stars per 1k downloads
51.63
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
142
Month daily avg
227
Momentum
-37.5%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
<3.12,>=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
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
59 days ago
Total releases
196
Releases/year
40.4
• 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
2
Monthly downloads
6,818
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
39
 
Issue Burden
5.7
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
5.0%
contrib / forks
Stale Release
No
 
PR Velocity
Overwhelmed
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Linux 6
Windows 2

Python Versions

3.10
25.0% 2
3.11
25.0% 2
3.13
25.0% 2
2.7
12.5% 1
3.7
12.5% 1

Top Countries

1. CN CN
199
2. US US
6
3. EE EE
2
4. CA CA
1

Dependencies

14
19 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
MIT
First Release
July 1, 2021
Last Release
1 month ago
Last Commit
1 month ago
Latest Version
0.21.1
Total Releases
196
Contributors
2
Open PRs
162
Archived
No
Wheels
py3
Keywords
FORECASTING DEEP LEARNING TIME SERIES MACHINE LEARNING EASY
Topics
python time-series machine-learning data-science deep-learning forecasting keras scikit-learn mase msis smape auto-ml easy-to-use scikit-learn-python vecm lstm pandas recurrent-neural-networks
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links