# Graphic Walker

> An embeddable React component that functions as an open source alternative to Tableau, which allows data scientists to analyze data and visualize patterns with simple drag-and-drop operations.

- Category: [React chart & visualization libraries](https://awesomedataviz.com/categories/react/)
- Website: https://kanaries.net/graphic-walker
- Repository: https://github.com/Kanaries/graphic-walker
- License: Apache-2.0
- Language: TypeScript
- Status: Active (commits in the last 90 days)
- GitHub stars: 3,257
- Commits in the last 12 months: 51
- Contributors: 23
- Last commit: Oct 1, 2026
- Latest release: v0.5.0 (Nov 27, 2025)
- Install (npm): `npm install @kanaries/graphic-walker`, 5.2K downloads per week
- Topics: Dashboards & BI, Exploratory data analysis tools

## Overview

Graphic Walker is an open-source React chart library released under the Apache-2.0 license. Its GitHub repository has 3,257 stars, 190 forks, and 23 contributors. It is actively developed with 51 commits in the last 12 months. The latest release, v0.5.0, was published on Nov 27, 2025. On npm it is downloaded about 5.2K times per week.

## Alternatives

- [Recharts](https://awesomedataviz.com/tools/recharts/): Declarative react components to render D3 charts. (27.6K stars)
- [visx](https://awesomedataviz.com/tools/visx/): Low-level visualization components that combine D3 with React, by Airbnb. (21.1K stars)
- [Tremor](https://awesomedataviz.com/tools/tremor/): React components for building charts and dashboards, based on Recharts and Tailwind CSS. (16.5K stars)
- [nivo](https://awesomedataviz.com/tools/nivo/): Supercharged dataviz components for React with isomorphic ability, demo. (14.1K stars)
- [Victory](https://awesomedataviz.com/tools/victory/): Composable components for building interactive data visualizations (11.2K stars)
- [React-vis](https://awesomedataviz.com/tools/react-vis/): React components to build data visualizations. (8.8K stars)

Source: https://awesomedataviz.com/tools/graphic-walker/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).
