Alternatives

Raptor alternatives for AI agents.

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

Current skill

Raptor

Transform your pythonic research to an artifact that engineers can deploy easily.

69
Quality
79
Trust
164
Stars
#1

Made With ML

Similarity 135Trust 89Excellent 100

Learn how to develop, deploy and iterate on production-grade ML applications.

48K starsMar 4, 2026 pushml-automationJupyter NotebookMLOps
$ npx skills add GokuMohandas/Made-With-ML
#2

Great Expectations

Similarity 134Trust 92Excellent 100

Always know what to expect from your data.

12K starsJun 13, 2026 pushml-automationPythonMLOps
$ npx skills add fivetran/great_expectations
#3

Label Studio

Similarity 119Trust 93Excellent 100

Label Studio is a multi-type data labeling and annotation tool with standardized output format

28K starsJun 16, 2026 pushml-automationTypeScriptMLOps
$ npx skills add HumanSignal/label-studio
#4

Mage AI

Similarity 119Trust 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
#5

Feast

Similarity 119Trust 91Excellent 100

The Open Source Feature Store for AI/ML

7.1K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add feast-dev/feast
#6

Featuretools

Similarity 119Trust 90Excellent 100

An open source python library for automated feature engineering

7.7K starsJun 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add alteryx/featuretools
#7

Agent Lightning

Similarity 118Trust 90Excellent 100

The absolute trainer to light up AI agents.

17K starsApr 29, 2026 pushml-automationPythonMLOps
$ npx skills add microsoft/agent-lightning
#8

Ray

Similarity 114Trust 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
#9

Pytorch Lightning

Similarity 113Trust 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
#10

ML For Beginners

Similarity 113Trust 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
#11

Keras

Similarity 113Trust 92Excellent 100

Deep Learning for humans

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

SpaCy

Similarity 113Trust 90Excellent 100

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

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#13

Ludwig

Similarity 112Trust 93Excellent 100

Low-code framework for building custom LLMs, neural networks, and other AI models

12K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ludwig-ai/ludwig
#14

Wandb

Similarity 112Trust 93Excellent 100

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

11K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add wandb/wandb
#15

Kedro

Similarity 112Trust 93Excellent 100

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

11K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add kedro-org/kedro
#16

Autogluon

Similarity 111Trust 92Excellent 100

Fast and Accurate ML in 3 Lines of Code

10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluon

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 Raptor 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.