PyPI Stats
adidas

lakehouse-engine

The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.
PyPI GitHub
Downloads
Day
110
Week
660
Month
4.2K
Stars
288
Forks
50
Issues
1
Version
2.0.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
80
Popularity
51
Adoption
36
Community
40
How the maintenance status was determined
Last commit
63 days ago
Monthly downloads
4,201
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
4,201
Stars
288
Stars per 1k downloads
68.56
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
94
Month daily avg
140
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
>=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
Apache License 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
63 days ago
Total releases
22
Releases/year
8.5
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
12
Monthly downloads
4,201
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
52
 
Issue Burden
3.5
per 1k stars
Discussions
31.2
per 1k stars
Fork Ratio
24.0%
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 34

Python Versions

3.11
52.9% 18
3.12
29.4% 10
3.10
17.6% 6

Top Countries

1. IE IE
34
2. CA CA
1

Dependencies

13
106 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
Apache License 2.0
First Release
October 9, 2023
Last Release
2 months ago
Last Commit
2 months ago
Latest Version
2.0.0
Total Releases
22
Contributors
12
Open PRs
1
Archived
No
Python Versions
3
Wheels
py3
Keywords
framework big-data spark databricks data-quality data-engineering great-expectations lakehouse delta-lake configuration-driver
Topics
big-data configuration-driven data-engineering data-quality databricks delta-lake framework great-expectations lakehouse spark
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links