Catboost by catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

machine-learningdecision-treesgradient-boostinggbmgbdtpythonrkagglegpu-computingcatboosttutorialcategorical-features
Verdict 74/100 health $4.13/mo cheapest, hetzner 2/5 setup difficulty Last release 2 months ago

Self-host Catboost on hetzner CAX11 for $4.13/mo.

Health score
74 /100
6-dim composite
Self-hosts from
$4.13 /mo
hetzner · CAX11
Difficulty
2 /5
Docker + read README
GitHub stars
8.9k
1.3k forks

About Catboost

From the project's README at github.com/catboost/catboost. Lightly cleaned for readability; for the full source see the upstream repo.

[](https://github.com/catboost/catboost/blob/master/LICENSE) [](https://badge.fury.io/py/catboost) [](https://anaconda.org/conda-forge/catboost) [](https://github.com/catboost/catboost/issues) [](https://t.me/catboost_en) [](https://twitter.com/CatBoostML)

CatBoost is a machine learning method based on gradient boosting over decision trees.

Main advantages of CatBoost: Superior quality compared with other GBDT libraries on many datasets. Best-in-class prediction speed. Support f

Health score breakdown

6-dimension composite. See methodology for formula and weights.

activity
95
maturity
100
community
75
security
85
sustainability
53
adoption
37

Adoption signals

Real-world usage data, pulled from each registry. The bigger the numbers, the more battle-tested the project.

SignalValueSource
GitHub stars 8.9k github.com/catboost/catboost
GitHub forks 1.3k github.com/catboost/catboost

Release & maintenance

Is this project actively maintained, or about to die? Check the recency of last commit and last release.

Project age8.8 yearssince Jul 2017
Last commit3 days agoMay 4, 2026
Releases shipped93last: 2 months ago
Security policySECURITY.mddeclared by maintainers

Self-hosting cost across providers

Detected requirements: 4GB RAM, 40GB disk minimum. Cheapest plan per provider that meets the requirement.

ProviderPlanSpecsMonthly
hetzner CAX11 2c · 4GB · 40GB $4.13 USD Deploy →
vultr VC2 1c · 1GB · 25GB $5 USD Deploy →
linode Nanode 1GB 1c · 1GB · 25GB $5.12 USD Deploy →
digitalocean Basic Regular 1GB 1c · 1GB · 25GB $6 USD Deploy →

What people say on Hacker News

Ready to self-host Catboost?

Spin up a hetzner CAX11 (4GB RAM, 40GB disk) for $4.13/mo and follow the project's official install docs.

Data last refreshed May 7, 2026.

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