Visualization recommendation using constraints
Project description
Draco v2
Draco is a formal framework for representing design knowledge about effective visualization design as a collection of constraints. You can use Draco to find effective visualization designs or validate existing ones. Draco's constraints are based on Answer Set Programming (ASP) and solved with the Clingo constraint solver. We also implemented a way to learn weights for the recommendation system directly from the results of graphical perception experiment. Draco v2 is a much improved version of the first iteration of Draco.
Documentation
Read about Draco in the online book at https://dig.cmu.edu/draco2/ or launch it in interactive mode using Binder. In the documentation, we just refer to Draco without a version.
What's different from Draco v1?
- Draco v2 is completely written in Python. No more need to run both Python and Node. We still use ASP for the knowledge base.
- Generalized and extended chart specification format. The new format is more extensible with custom properties.
- Support for multiple views and view composition.
- High test-coverage, documentation, and updated development tooling.
Contributing
We welcome any input, feedback, bug reports, and contributions. You can learn about setting up your development environment in CONTRIBUTING.md.
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