PyRank
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
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Downloads
Day
180
Week
917
Month
4.3K
Stars
290
Forks
50
Issues
1
Version
2.1.1

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
80
Popularity
51
Adoption
36
Community
40
Provenance
0
How the maintenance status was determined
Last commit
34 days ago
Monthly downloads
4,338
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
4,338
Stars
290
Stars per 1k downloads
66.85
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
131
Month daily avg
145
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
34 days ago
Total releases
24
Releases/year
8.7
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
4,338
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
3.4
per 1k stars
Discussions
31.0
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 36

Python Versions

3.12
66.7% 24
3.11
33.3% 12

Top Countries

1. IE IE
36
2. SE SE
4
3. US US
4
4. CN CN
1

Dependencies

13
331 optional dependencies

Used By

0
Not used by any tracked packages
GitHub Topics
Tags from the package's GitHub repository describing what it does.

Package Information

License
Apache License 2.0
First Release
October 9, 2023
Last Release
1 month ago
Last Commit
1 month ago
Latest Version
2.1.1
Total Releases
24
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
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links