Alternatives

Shogun alternatives for AI agents.

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

Current skill

Shogun

Shōgun

75
Quality
80
Trust
3.1K
Stars
#1

Pytorch Lightning

Similarity 143Trust 93Excellent 100

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightning
#2

Xgboost

Similarity 141Trust 94Excellent 100

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

28K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add dmlc/xgboost
#3

Ggml

Similarity 140Trust 92Excellent 100

Tensor library for machine learning

15K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add ggml-org/ggml
#4

Dlib

Similarity 140Trust 92Excellent 100

A toolkit for making real world machine learning and data analysis applications in C++

14K starsMay 7, 2026 pushml-automationC++Machine Learning
$ npx skills add davisking/dlib
#5

SpaCy

Similarity 135Trust 90Excellent 100

💫 Industrial-strength Natural Language Processing (NLP) in Python

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#6

Mediapipe

Similarity 133Trust 92Excellent 100

Cross-platform, customizable ML solutions for live and streaming media.

36K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add google-ai-edge/mediapipe
#7

Darts

Similarity 133Trust 92Excellent 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
#8

AI Papers Of The Week

Similarity 133Trust 88Excellent 100

🔥Highlighting the top ML papers every week.

13K starsJun 15, 2026 pushml-automationMachine LearningClaude Code
$ npx skills add dair-ai/AI-Papers-of-the-Week
#9

Data Science Interviews

Similarity 133Trust 90Excellent 100

Data science interview questions and answers

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

Mage AI

Similarity 133Trust 90Excellent 100

🧙 Build, run, and manage data pipelines for integrating and transforming data.

8.8K starsJun 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add mage-ai/mage-ai
#11

TabPFN

Similarity 132Trust 87Excellent 100

⚡ TabPFN: Foundation Model for Tabular Data ⚡

7.4K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add PriorLabs/TabPFN
#12

Catboost

Similarity 131Trust 92Excellent 100

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.

9.0K starsJun 12, 2026 pushml-automationC++Machine Learning
$ npx skills add catboost/catboost
#13

Interpret

Similarity 130Trust 90Excellent 100

Fit interpretable models. Explain blackbox machine learning.

6.9K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add interpretml/interpret
#14

Ray

Similarity 128Trust 94Excellent 100

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray
#15

ML For Beginners

Similarity 127Trust 92Excellent 100

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

87K starsJun 9, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/ML-For-Beginners
#16

Keras

Similarity 127Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras

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 Shogun 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.