PyPI Stats
dagworks-inc

sf-hamilton-sdk

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 (dagworks-inc/hamilton) with 4 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
727
Week
3.8K
Month
14.7K
Stars
2.5K
Forks
186
Issues
113
Version
0.8.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
100
Popularity
70
Adoption
71
Community
60
How the maintenance status was determined
Last commit
3 days ago
Monthly downloads
14,685
• 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
14,685
Stars
2,468
Stars per 1k downloads
168.06
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
546
Month daily avg
490
Momentum
+11.6%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
<4,>=3.7
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
BSD License
• 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
532 days ago
Total releases
20
Releases/year
9.8
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
99
Monthly downloads
14,685
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
45.8
per 1k stars
Discussions
23.9
per 1k stars
Fork Ratio
53.2%
contrib / forks
Stale Release
528d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Linux 163
Windows 5
macOS 2

Python Versions

3.9
32.5% 51
3.11
23.6% 37
3.13
15.9% 25
3.14
15.3% 24
3.12
12.7% 20

Top Countries

1. US US
141
2. DE DE
22
3. GB GB
4
4. EE EE
2
5. JP JP
2
6. RU RU
2
7. CA CA
1
8. FR FR
1
9. VN VN
1

Dependencies

9
10 optional dependencies

Used By

2

Package Information

License
BSD License
First Release
April 22, 2024
Last Release
1 year ago
Last Commit
3 days ago
Latest Version
0.8.0
Total Releases
20
Contributors
99
Open PRs
39
Archived
No
Python Versions
3 3.8 3.9 3.10 3.11
Wheels
py3
Keywords
hamilton dagworks observability
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