#1
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/rayAlternatives
Dowhy alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Dowhy
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.
100
Quality
97
Trust
8.2K
Stars
#2
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#3
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#4
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#5
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#6
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#7
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#8
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#9
Fast and Accurate ML in 3 Lines of Code
10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluon#10
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
4.7K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add py-why/EconML#11
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#12
A unified framework for machine learning with time series
9.8K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/sktime#13
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
8.5K starsApr 1, 2026 pushml-automationPythonMachine Learning
$ npx skills add vaexio/vaex#14
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#15
🧙 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#16
Topic Modelling for Humans
16K starsNov 1, 2025 pushml-automationPythonMachine Learning
$ npx skills add piskvorky/gensimHow 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 Dowhy 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.