Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
$ npx skills add kedro-org/kedroAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Runtime for building and managing AI agents and Workflows. Easy to learn, fast to build, High Performance, Reliable by design, Intuitive UI, Production Ready.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
$ npx skills add kedro-org/kedro๐ง Build, run, and manage data pipelines for integrating and transforming data.
$ npx skills add mage-ai/mage-aiAlways know what to expect from your data.
$ npx skills add fivetran/great_expectationsPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningLabel Studio is a multi-type data labeling and annotation tool with standardized output format
$ npx skills add HumanSignal/label-studioLearn how to develop, deploy and iterate on production-grade ML applications.
$ npx skills add GokuMohandas/Made-With-ML๐ซ Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCy๐ค The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsOpen standard for machine learning interoperability
$ npx skills add onnx/onnxMachine Learning Systems
$ npx skills add harvard-edge/cs249r_book๐ Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaA 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.
$ npx skills add yzhao062/pyodSwap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop โ all through one unified, production-ready inference API.
$ npx skills add xorbitsai/inferenceStanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
$ npx skills add stanfordnlp/stanza12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersImplement a ChatGPT-like LLM in PyTorch from scratch, step by step
$ npx skills add rasbt/LLMs-from-scratchHow to choose
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 Runtime if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.
Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Runtime for building and managing AI agents and Workflows. Easy to learn, fast to build, High Performance, Reliable by design, Intuitive UI, Production Ready.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
$ npx skills add kedro-org/kedro๐ง Build, run, and manage data pipelines for integrating and transforming data.
$ npx skills add mage-ai/mage-aiAlways know what to expect from your data.
$ npx skills add fivetran/great_expectationsPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningLabel Studio is a multi-type data labeling and annotation tool with standardized output format
$ npx skills add HumanSignal/label-studioLearn how to develop, deploy and iterate on production-grade ML applications.
$ npx skills add GokuMohandas/Made-With-ML๐ซ Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCy๐ค The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsOpen standard for machine learning interoperability
$ npx skills add onnx/onnxMachine Learning Systems
$ npx skills add harvard-edge/cs249r_book๐ Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaA 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.
$ npx skills add yzhao062/pyodSwap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop โ all through one unified, production-ready inference API.
$ npx skills add xorbitsai/inferenceStanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
$ npx skills add stanfordnlp/stanza12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersImplement a ChatGPT-like LLM in PyTorch from scratch, step by step
$ npx skills add rasbt/LLMs-from-scratchHow to choose
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 Runtime if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.