PyPI Stats
OpenSTEF

openstef-beam

Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (OpenSTEF/openstef) with 4 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
780
Week
1.7K
Month
4.6K
Stars
142
Forks
45
Issues
51
Version
4.0.0a37

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
80
Popularity
46
Adoption
36
Community
80
How the maintenance status was determined
Last commit
55 days ago
Monthly downloads
4,631
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
4,631
Stars
142
Stars per 1k downloads
30.66
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
241
Month daily avg
154
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
<4.0,>=3.12
• 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
MPL-2.0
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
2 days ago
Total releases
38
Releases/year
82.6
• 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
47
Monthly downloads
4,631
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
74
 
Issue Burden
359.2
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
104.4%
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

Python Versions

3.12
100.0% 2

Top Countries

1. KR KR
8
2. US US
4
3. CA CA
1

Dependencies

5
5 optional dependencies

Used By

2

Package Information

License
MPL-2.0
First Release
November 19, 2025
Last Release
2 days ago
Last Commit
1 month ago
Latest Version
4.0.0a37
Total Releases
38
Contributors
47
Open PRs
10
Archived
No
Python Versions
3.12 3.13 3.14
Wheels
py3
Keywords
energy forecasting machinelearning
Topics
forecasting energy python data-science machine-learning time-series energy-forecasting
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links