#1
The absolute trainer to light up AI agents.
17K starsApr 29, 2026 pushml-automationPythonMLOps
$ npx skills add microsoft/agent-lightningAlternatives
Timber alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Timber
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.
75
Quality
80
Trust
684
Stars
#2
Always know what to expect from your data.
12K starsJun 13, 2026 pushml-automationPythonMLOps
$ npx skills add fivetran/great_expectations#3
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
18K starsJun 9, 2026 pushml-automationC++Machine Learning
$ npx skills add lightgbm-org/LightGBM#4
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add deepspeedai/DeepSpeed#5
Deploy a ML inference service on a budget in less than 10 lines of code.
1.3K starsFeb 12, 2024 pushml-automationPythonMLOps
$ npx skills add ebhy/budgetml#6
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-studio#7
✨ Build a machine learning model from a prompt
2.6K starsMar 6, 2026 pushml-automationPythonMLOps
$ npx skills add plexe-ai/plexe#8
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-ML#9
Machine Learning Engineering Open Book
18K starsMay 18, 2026 pushml-automationPythonMachine Learning
$ npx skills add stas00/ml-engineering#10
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.
11K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add kedro-org/kedro#11
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
11K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add triton-inference-server/server#12
Open Machine Learning Compiler Framework
13K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add apache/tvm#13
🤖 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#14
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
5.6K starsMay 25, 2026 pushml-automationPythonMachine Learning
$ npx skills add biolab/orange3#15
⚡️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#16
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
901 starsJun 10, 2026 pushml-automationPythonMLOps
$ npx skills add mosecorg/mosecHow 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 Timber 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.