No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
catboost has 6.3M monthly downloads and 9K GitHub stars. Version 1.2.10, first published in 2017.
It is actively maintained under a permissive license, last released in Feb 2026.
It is built on top of graphviz, matplotlib and numpy. It is used by 364 tracked packages, including powershap, geocif and hebo.
GitHub topics include machine-learning, decision-trees and gradient-boosting.
Package Insights
Package Risks
- No releases in 139 days despite active commits
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
85
Adoption
60
Community
80
Provenance
100
How the maintenance status was determined
Last commit
0 days ago
Monthly downloads
6,338,566
•
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
6,338,566
Stars
9,020
Stars per 1k downloads
1.42
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
186,212
Month daily avg
211,286
Momentum
-11.9%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
Not specified
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
Package does not declare a minimum Python version.
License categories
License
Apache License, Version 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
139 days ago
Total releases
113
Releases/year
12.6
•
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
405
Monthly downloads
6,338,566
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
87
Issue Burden
74.3
per 1k stars
Discussions
7.6
per 1k stars
Fork Ratio
31.0%
contrib / forks
Stale Release
139d
PR Velocity
Quiet
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
114.2K
Windows
3.7K
macOS
1.8K
Python Versions
3.12
35.6%
39.9K
3.11
25.6%
28.7K
3.10
21.5%
24.1K
3.9
9.2%
10.3K
3.13
8.2%
9.3K
Top Countries
1.
US
79.8K
US
2.
IN
6.9K
IN
3.
NL
5.7K
NL
4.
DE
5.6K
DE
5.
IE
3.4K
IE
6.
GB
3.0K
GB
7.
GR
3.0K
GR
8.
JP
2.3K
JP
9.
SG
2.1K
SG
10.
CN
1.1K
CN
Dependencies
7
3 optional dependencies
- ipython[widget]
- ipywidgets[widget]
- traitlets[widget]
Used By
364
- powershap
- geocif
- hebo
- upgini
- spotforecast2
- vaex-ml
- evalml
- frogml-cli
- olpai-volunteer-agent
- lecrapaud
- mljar-supervised
- tuiml
- lightautoml
- digital-twinning
- supermodelingfactory
- hossam
- datupapi
- timecopilot
- openscofo
- scalecast
- autoviml
- modeva
- bamt
- jabs-behavior-classifier
- essentiax
- koreanstocks
- vllama
- wavetrainer
- tencent-wedata-auto-ml
- fedot
- ambrosia
- pratik-model
- sktmls
- bs-ds
- iwork
- xbooster
- api-python-bet-project
- churn-modeling-pipelines
- hyperimpute
- factrainer-catboost
- sapientml-core
- haute
- gossipcat
- data-science-common-core
- cv-score-predict
- napari-convpaint
- tencent-wedata3-auto-ml
- datto
- aibolit
- classifier-toolkit
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
Apache License, Version 2.0
First Release
July 17, 2017
Last Release
4 months ago
Last Commit
13 hr ago
Latest Version
1.2.10
Total Releases
113
Contributors
405
Open PRs
35
Archived
No
Author
CatBoost Developers
Wheels
cp27
cp310
cp311
cp312
cp313
cp314
cp34
cp35
cp36
cp37
cp38
cp39
Keywords
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh