#1
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/dartsAlternatives
Causalml alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Causalml
Uplift modeling and causal inference with machine learning algorithms
100
Quality
90
Trust
5.9K
Stars
#2
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$ npx skills add drivendataorg/cookiecutter-data-science#3
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$ npx skills add google-deepmind/sonnet#4
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$ npx skills add pyro-ppl/pyro#5
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$ npx skills add snorkel-team/snorkel#6
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$ npx skills add online-ml/river#7
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$ npx skills add pytorch/ignite#8
Build local voice agents with open-source models
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$ npx skills add huggingface/speech-to-speech#9
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$ npx skills add pytorch/executorch#10
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$ npx skills add gorse-io/gorse#11
ML.NET is an open source and cross-platform machine learning framework for .NET.
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$ npx skills add dotnet/machinelearning#12
Data science interview questions and answers
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$ npx skills add alexeygrigorev/data-science-interviews#13
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
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$ npx skills add timeseriesAI/tsai#14
A flexible, high-performance serving system for machine learning models
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$ npx skills add tensorflow/serving#15
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$ npx skills add skorch-dev/skorch#16
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
9.9K starsMay 1, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add Visualize-ML/Book4_Power-of-MatrixHow 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 Causalml 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.