rawgraphs/rawgraphs-app

A web interface to create custom vector-based visualizations on top of RAWGraphs core

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Summary Information

Updated 31 minutes ago
Added to GitGenius on September 7th, 2026
Created on April 17th, 2013
Open Issues & Pull Requests: 79 (+0)
GitHub issues: Enabled
Number of forks: 1,843
Total Stargazers: 9,029 (+0)
Total Subscribers: 316 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 11.4 hours
Mean response time: 131.8 days
90th percentile: 229.2 days
Tracked items: 32

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 73% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 16% of issues opened in the past year have been closed. Three people close 100% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 22
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 513 days
Stale 30+ days: 22
Stale 90+ days: 22

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (17)
  • bug (15)
  • chart-related (7)

Most active issues this week

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Detailed Description

RAWGraphs is a web-based tool for creating custom vector-based visualizations from tabular data using the d3.js library.

The tool addresses the gap between spreadsheet applications and vector graphics editors by accepting data from spreadsheets, comma-separated values, or pasted text and transforming it into SVG visualizations that can be further refined in design software or embedded in web pages. It processes all data entirely in the browser with no server-side operations or storage, ensuring sensitive information remains private. The visualizations are built on d3.js and can be customized through user-defined layouts via an extensible architecture.

RAWGraphs suits designers and data visualization specialists who need to move fluidly between data preparation and graphic design workflows. It works best for projects where the final output requires vector editing or where data privacy is a concern. The tool can be accessed through the official hosted application or run locally on a machine with Node.js and Yarn installed, giving users flexibility in deployment.

The project maintains active development with regular updates to dependencies and tooling. The codebase is written in JavaScript and accepts community contributions through its GitHub repository. Documentation includes a developer guide for users interested in creating or modifying custom visualization layouts.