PyPI Stats
apache

sf-hamilton

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (apache/hamilton) with 4 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
5.6K
Week
35.9K
Month
169.1K
Stars
2.5K
Forks
187
Issues
109
Version
1.90.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
100
Popularity
70
Adoption
62
Community
70
How the maintenance status was determined
Last commit
3 days ago
Monthly downloads
169,121
• 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
169,121
Stars
2,470
Stars per 1k downloads
14.60
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
5,128
Month daily avg
5,637
Momentum
-9.0%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
<4,>=3.10.1
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-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
11 days ago
Total releases
224
Releases/year
49.1
• 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
101
Monthly downloads
169,121
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
80
 
Issue Burden
44.1
per 1k stars
Discussions
23.9
per 1k stars
Fork Ratio
54.0%
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 1.5K
macOS 37
Windows 21

Python Versions

3.12
48.8% 647
3.11
19.3% 256
3.13
12.0% 159
3.14
11.2% 148
3.9
8.7% 116

Top Countries

1. US US
1.1K
2. DE DE
284
3. SG SG
80
4. IE IE
22
5. FI FI
15
6. CL CL
10
7. FR FR
9
8. GB GB
9
9. CA CA
7
10. SA SA
6

Package Information

License
Apache-2.0
First Release
October 14, 2021
Last Release
1 week ago
Last Commit
3 days ago
Latest Version
1.90.0
Total Releases
224
Contributors
101
Open PRs
39
Archived
No
Wheels
py3
Topics
data-science python dag data-engineering dataframe etl etl-framework etl-pipeline feature-engineering machine-learning pandas software-engineering data-analysis lineage llmops mlops orchestration hacktoberfest rag
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links