#1
Deep universal probabilistic programming with Python and PyTorch
9.0K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add pyro-ppl/pyroAlternatives
Ignite alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
100
Quality
100
Trust
4.8K
Stars
#2
On-device AI across mobile, embedded and edge for PyTorch
4.7K starsJun 13, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/executorch#3
A flexible, high-performance serving system for machine learning models
6.4K starsJun 13, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/serving#4
TensorFlow-based neural network library
9.9K starsMay 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add google-deepmind/sonnet#5
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#6
Time series forecasting with PyTorch
4.9K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/pytorch-forecasting#7
A scikit-learn compatible neural network library that wraps PyTorch
6.2K starsMay 29, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add skorch-dev/skorch#8
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
9.9K starsApr 20, 2026 pushml-automationPythonMachine Learning
$ npx skills add vwxyzjn/cleanrl#9
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#10
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#11
A unified framework for machine learning with time series
9.8K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/sktime#12
Effortless data labeling with AI support from Segment Anything and other awesome models.
9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add CVHub520/X-AnyLabeling#13
Build local voice agents with open-source models
4.9K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/speech-to-speech#14
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
9.5K starsMay 21, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add roboflow/notebooks#15
Containers for machine learning
9.4K starsJun 12, 2026 pushml-automationGoMachine Learning
$ npx skills add replicate/cog#16
🏅 Collection of Kaggle Solutions and Ideas 🏅
6.4K starsJun 6, 2026 pushml-automationAstroMachine Learning
$ npx skills add faridrashidi/kaggle-solutionsHow 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 Ignite 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.