Cody
Cody is an open-source web-based tool for building and testing ML models. It provides a browser-based IDE that allows users to write code, visualize data, and track experiments without installing anything.
opensource
webbased
ide
code
visualize-data
track-experiments
Cody: Open-Source ML Model Builder & Tester
A web-based tool for building and testing machine learning models, providing a browser-based IDE for coding, data visualization, and experiment tracking without installations
What is Cody?
Cody is an open-source web application designed to lower barriers to entry for working with machine learning. It provides a code editor and compute environment that runs entirely in the browser, eliminating the need to install drivers, frameworks, etc. on your local machine.
Some key features of Cody include:
- Browser-based IDE - Write code, visualize data, track experiments all from your web browser without needing to install anything.
- Integrated version control - Built-in Git support for pushing and pulling changes to GitHub repos.
- Managed compute - Runs Jupyter Notebooks with free access to GPUs and other hardware to execute code.
- Team collaboration - Share projects with team members to reproduce results and collaborate.
- Model catalog - Save trained models to a catalog that tracks model metadata like parameters and performance.
- Model hosting - Host trained models as production APIs with a few clicks.
By providing a fully featured hosted ML platform, Cody aims to make building, iterating, and deploying ML applications more accessible to a wider audience of developers and analysts.
Cody Features
Features
- Browser-based IDE
- Code editing
- Data visualization
- Model building
- Experiment tracking
Pricing
- Open Source
- Free
Pros
No installation required
Intuitive interface
Real-time collaboration
Version control integration
Supports popular ML frameworks
Cons
Limited compute resources
Not suitable for large datasets
Lacks some advanced ML features
Official Links
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