#1
Label Studio is a multi-type data labeling and annotation tool with standardized output format
28K starsJun 16, 2026 pushml-automationTypeScriptMLOps
$ npx skills add HumanSignal/label-studioAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
an MLOps/LLMOps platform
Label 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-MLAlways 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-lightning12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersGoogle Research
$ npx skills add google-research/google-research💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netron🤗 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/datasetsImplement a ChatGPT-like LLM in PyTorch from scratch, step by step
$ npx skills add rasbt/LLMs-from-scratchWorkflow Engine for Kubernetes
$ npx skills add argoproj/argo-workflowsAI-Powered Photos App for the Decentralized Web 🌈💎✨
$ npx skills add photoprism/photoprismOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe Modular Platform (includes MAX & Mojo)
$ npx skills add modular/modularMachine Learning Toolkit for Kubernetes
$ npx skills add kubeflow/kubeflowThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbHow 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 Starwhale 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.