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Coplot: Supporting the research process through visualization

Research reaches its full impact when researchers can see what they're doing clearly. Visualizations are key. This article discusses the challenges with existing tools like Matplotlib and Figma, and introduces co/plot, a tool built at Cohere Labs for quick iteration while preserving reproducibility and accuracy. co/plot was tested on Tiny Aya with 70+ languages and released as open source to support the research community.

SourceCohere Blog
Coplot: Supporting the research process through visualization
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Visualization is crucial for clear communication and progress in research.
  • Existing tools like Matplotlib and Figma have bottlenecks in iteration and accuracy.
  • Cohere Labs developed co/plot for rapid prototyping, customizable styling, and accurate data representation.
  • co/plot was tested on 70+ languages and released publicly to promote open science.

Highlights and analysis are generated automatically and may contain errors. Check the original source.