#1
Learn how to develop, deploy and iterate on production-grade ML applications.
48K starsMar 4, 2026 pushml-automationJupyter NotebookMLOps
$ npx skills add GokuMohandas/Made-With-MLAlternatives
Aqueduct alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Aqueduct
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
53
Quality
77
Trust
519
Stars
#2
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG
1.6K starsJul 27, 2025 pushml-automationPythonMLOps
$ npx skills add MLSysOps/MLE-agent#3
✨ Build a machine learning model from a prompt
2.6K starsMar 6, 2026 pushml-automationPythonMLOps
$ npx skills add plexe-ai/plexe#4
BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale
693 starsJun 15, 2026 pushml-automationGoMLOps
$ npx skills add Meesho/BharatMLStack#5
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
6.2K starsJun 14, 2026 pushml-automationPythonMachine Learning
$ npx skills add aimhubio/aim#6
The absolute trainer to light up AI agents.
17K starsApr 29, 2026 pushml-automationPythonMLOps
$ npx skills add microsoft/agent-lightning#7
Always know what to expect from your data.
12K starsJun 13, 2026 pushml-automationPythonMLOps
$ npx skills add fivetran/great_expectations#8
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
4.0K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add SwanHubX/SwanLab#9
An open-source ML pipeline development platform
998 starsJan 9, 2025 pushml-automationPythonMLOps
$ npx skills add sematic-ai/sematic#10
A Cloud Native Batch System (Project under CNCF)
5.7K starsJun 15, 2026 pushml-automationGoMachine Learning
$ npx skills add volcano-sh/volcano#11
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
4.8K starsMar 23, 2026 pushml-automationGoMachine Learning
$ npx skills add SeldonIO/seldon-core#12
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#13
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
87K starsJun 9, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/ML-For-Beginners#14
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#15
Visualizer for neural network, deep learning and machine learning models
33K starsJun 14, 2026 pushml-automationJavaScriptMachine Learning
$ npx skills add lutzroeder/netron#16
:closed_book: Clarity in the current fast-paced mess of Open Source innovation
1.6K starsJan 20, 2025 pushml-automationTeXMLOps
$ npx skills add premAI-io/state-of-open-source-aiHow 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 Aqueduct 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.