Alternatives

Quick Notes For ML DS alternatives for AI agents.

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

Current skill

Quick Notes For ML DS

It contains interview preparation notes provided by iNeuron, important links, MLOps resources

56
Quality
74
Trust
161
Stars
#1

Made With ML

Similarity 127Trust 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

Agent Lightning

Similarity 126Trust 90Excellent 100

The absolute trainer to light up AI agents.

17K starsApr 29, 2026 pushml-automationPythonMLOps
$ npx skills add microsoft/agent-lightning
#3

Great Expectations

Similarity 126Trust 92Excellent 100

Always know what to expect from your data.

12K starsJun 13, 2026 pushml-automationPythonMLOps
$ npx skills add fivetran/great_expectations
#4

Pytorch Lightning

Similarity 121Trust 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
#5

Keras

Similarity 121Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#6

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
#7

Darts

Similarity 119Trust 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

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
#9

TabPFN

Similarity 118Trust 87Excellent 100

⚡ TabPFN: Foundation Model for Tabular Data ⚡

7.4K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add PriorLabs/TabPFN
#10

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
#11

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
#12

Resume Matcher

Similarity 113Trust 93Excellent 100

Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.

27K starsJun 14, 2026 pushml-automationTypeScriptMachine Learning
$ npx skills add srbhr/Resume-Matcher
#13

Tensorflow

Similarity 113Trust 91Excellent 100

An Open Source Machine Learning Framework for Everyone

196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow
#14

Paddle

Similarity 113Trust 93Excellent 100

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

24K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add PaddlePaddle/Paddle
#15

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
#16

Handson Ml

Similarity 113Trust 91Excellent 100

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

26K starsMay 19, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add ageron/handson-ml

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 Quick Notes For ML DS if it already passes your workflow test and repository review.

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