Alternatives

Catboost alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

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.

100
Quality
100
Trust
9.0K
Stars
#1

Pyod

Similarity 135Trust 100Excellent 100

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

9.9K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add yzhao062/pyod
#2

Sktime

Similarity 135Trust 100Excellent 100

A unified framework for machine learning with time series

9.8K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/sktime
#3

Kaggle Solutions

Similarity 134Trust 100Excellent 100

🏅 Collection of Kaggle Solutions and Ideas 🏅

6.4K starsJun 6, 2026 pushml-automationAstroMachine Learning
$ npx skills add faridrashidi/kaggle-solutions
#4

Data Science Interviews

Similarity 127Trust 100Excellent 100

Data science interview questions and answers

10K starsJun 1, 2026 pushml-automationHTMLMachine Learning
$ npx skills add alexeygrigorev/data-science-interviews
#5

Cookiecutter Data Science

Similarity 127Trust 100Excellent 100

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

9.9K starsApr 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add drivendataorg/cookiecutter-data-science
#6

Pycaret

Similarity 127Trust 100Excellent 100

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

9.8K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add pycaret/pycaret
#7

Cog

Similarity 127Trust 100Excellent 100

Containers for machine learning

9.4K starsJun 12, 2026 pushml-automationGoMachine Learning
$ npx skills add replicate/cog
#8

Darts

Similarity 127Trust 100Excellent 100

A python library for user-friendly forecasting and anomaly detection on time series.

9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add unit8co/darts
#9

Smile

Similarity 126Trust 100Excellent 100

Statistical Machine Intelligence & Learning Engine

6.4K starsJun 12, 2026 pushml-automationJavaMachine Learning
$ npx skills add haifengl/smile
#10

Pytorch Forecasting

Similarity 125Trust 100Excellent 100

Time series forecasting with PyTorch

4.9K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/pytorch-forecasting
#11

Statsforecast

Similarity 125Trust 100Excellent 100

Lightning ⚡️ fast forecasting with statistical and econometric models.

4.8K starsJun 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add Nixtla/statsforecast
#12

Flux.Jl

Similarity 125Trust 100Excellent 100

Relax! Flux is the ML library that doesn't make you tensor

4.7K starsJun 8, 2026 pushml-automationJuliaMachine Learning
$ npx skills add FluxML/Flux.jl
#13

Pixie

Similarity 124Trust 100Excellent 100

Instant Kubernetes-Native Application Observability

6.5K starsJun 10, 2026 pushml-automationC++Machine Learning
$ npx skills add pixie-io/pixie
#14

Serving

Similarity 124Trust 100Excellent 100

A flexible, high-performance serving system for machine learning models

6.4K starsJun 13, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/serving
#15

Cleanrl

Similarity 119Trust 100Excellent 100

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

9.9K starsApr 20, 2026 pushml-automationPythonMachine Learning
$ npx skills add vwxyzjn/cleanrl
#16

Book4 Power Of Matrix

Similarity 119Trust 100Excellent 100

Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!

9.9K starsMay 1, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add Visualize-ML/Book4_Power-of-Matrix

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Catboost if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.