Alternatives

Applied Ml alternatives for AI agents.

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

Current skill

Applied Ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

87
Quality
89
Trust
30K
Stars
#1

Feast

Similarity 141Trust 94Excellent 100

The Open Source Feature Store for AI/ML

7.1K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add feast-dev/feast
#2

Ludwig

Similarity 135Trust 98Excellent 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
#3

Autogluon

Similarity 134Trust 95Excellent 100

Fast and Accurate ML in 3 Lines of Code

10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluon
#4

Mlops Course

Similarity 134Trust 87Strong 76

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

3.4K starsAug 16, 2024 pushml-automationJupyter NotebookMachine Learning
$ npx skills add GokuMohandas/mlops-course
#5

Mage AI

Similarity 133Trust 94Excellent 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
#6

Lance

Similarity 133Trust 96Excellent 100

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

6.7K starsJun 14, 2026 pushml-automationRustMachine Learning
$ npx skills add lance-format/lance
#7

Smile

Similarity 132Trust 91Excellent 100

Statistical Machine Intelligence & Learning Engine

6.4K starsJun 16, 2026 pushml-automationJavaMachine Learning
$ npx skills add haifengl/smile
#8

D2l En

Similarity 130Trust 86Strong 81

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

29K starsAug 18, 2024 pushml-automationPythonMachine Learning
$ npx skills add d2l-ai/d2l-en
#9

Made With ML

Similarity 130Trust 93Excellent 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
#10

Ray

Similarity 128Trust 98Excellent 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
#11

Pytorch Lightning

Similarity 128Trust 98Excellent 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
#12

Great Expectations

Similarity 128Trust 95Excellent 100

Always know what to expect from your data.

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

ML For Beginners

Similarity 128Trust 96Excellent 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
#14

Keras

Similarity 128Trust 96Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#15

AI For Beginners

Similarity 128Trust 96Excellent 100

12 Weeks, 24 Lessons, AI for All!

48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners
#16

Mediapipe

Similarity 128Trust 96Excellent 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

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 Applied Ml 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.