#1
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-BeginnersAlternatives
Vaex alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
100
Quality
95
Trust
8.5K
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
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#5
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#6
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#7
Statistical Machine Intelligence & Learning Engine
6.4K starsJun 16, 2026 pushml-automationJavaMachine Learning
$ npx skills add haifengl/smile#8
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#9
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#10
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#11
Fast and Accurate ML in 3 Lines of Code
10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluon#12
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
9.9K starsApr 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add drivendataorg/cookiecutter-data-science#13
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
8.2K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add py-why/dowhy#14
A unified framework for machine learning with time series
9.8K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/sktime#15
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/pycaret#16
🧙 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-aiHow 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 Vaex 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.