PyRank
tensorflow

tensorflow-decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
PyPI GitHub
More links
Download Stats Bug Tracker
Monthly downloads
136.0K
Weekly downloads
30.6K
GitHub stars
693

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
1.10.1
Requires Python
>=3.9
Licence
Apache 2.0
Last Release
1 year ago
Author
Google Inc.
First Release
April 22, 2021
Total Releases
41
Python Versions
3 3.9 3.10 3.11
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
50
Popularity
60
Adoption
61
Community
60
Provenance
0
How the maintenance status was determined
Last commit
260 days ago
Monthly downloads
136,019
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
136,019
Stars
693
Stars per 1k downloads
5.09
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
4,375
Month daily avg
4,534
Momentum
-3.5%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
>=3.9
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
• Legacy
Supports 3.10 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
566 days ago
Total releases
41
Releases/year
7.5
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
45
Monthly downloads
136,019
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
75
 
Issue Burden
49.1
per 1k stars
Discussions
14.4
per 1k stars
Fork Ratio
39.5%
contrib / forks
Stale Release
306d
 
PR Velocity
Quiet
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 3.4K
macOS 345
Windows 116

Python Versions

3.12
44.3% 1.7K
3.9
23.6% 882
3.11
23.4% 876
3.10
6.8% 256
3.13
1.9% 73

Top Countries

1. US US
3.0K
2. NL NL
614
3. DE DE
82
4. CN CN
62
5. SG SG
14
6. MX MX
10
7. CA CA
9
8. IN IN
9
9. ID ID
8
10. IE IE
5

Weekly Downloads

GitHub Stars

Dependencies

9

Used By

4

Repository details

Forks
114
Issues
34
Last Commit
8 months ago
Contributors
45
Open PRs
18
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
tensorflow tensor machine learning decision forests random forest gradient boosted trees
Sources and methodology