#1
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/pycaretAlternatives
Mlr alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Mlr
Machine Learning in R
81
Quality
81
Trust
1.7K
Stars
#2
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#3
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#4
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#5
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#6
We write your reusable computer vision tools. 💜
44K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add roboflow/supervision#7
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#8
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#9
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#10
Fast and Accurate ML in 3 Lines of Code
10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluon#11
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#12
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#13
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#14
A unified framework for machine learning with time series
9.8K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/sktime#15
🔥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#16
Data science interview questions and answers
10K starsJun 1, 2026 pushml-automationHTMLMachine Learning
$ npx skills add alexeygrigorev/data-science-interviewsHow 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 Mlr 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.