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.. | ||
datasets | ||
dist | ||
chartjs.html | ||
chartjs.js | ||
developer.html | ||
index.html | ||
observable-plot.html | ||
observable-plot.js | ||
package-lock.json | ||
package.json | ||
README.md | ||
vite.config.js |
Chart benchmarks
How to run locally
This project uses npm
to manage dependencies and run scripts. It has been
tested with node v18 but should work with other versions of node.
This uses vite as builder but this should be fairly transparent.
Install dependencies
npm i
Run the development server
npm run dev
Build the app
npm run build
Preview the production build
npm run preview
Included benchmarks
All the benchmarks are included in iframes in the index page. But it may be more convenient to open these benchmarks with their specific files.
Observable Plot
You can load this benchmark with the /observable-plot.html
page, for example
http://localhost:5173/observable-plot.html if you run it locally or
http://localhost:7000/resources/charts/dist/observable-plot.html in the
context of the speedometer.
Observable Plot is D3-based and outputs SVG.
When run in development mode, the page will automatically execute the 3 included graphs:
- a stacked bar graph
- a grouped bar graph
- a graph using dots
In production mode nothing executes by default, the user needs to push the buttons to run any code. That's how the benchmark exercizes this code.
To build these graphs, we use datasets representing flight information in the US. You can consult them in the datasets directory.
ChartJS
You can load this benchmark with the /chartjs.html
page, for example
http://localhost:5173/chartjs.html if you run it locally or
http://localhost:7000/resources/charts/dist/chartjs.html in the
context of speedometer.
ChartJS is canvas-based.
When run in development mode, the page will automatically execute the scatter graph.
In production mode nothing executes by default, the user needs to push the buttons to run any code. That's how the benchmark exercizes this code.
To build these graphs, we use datasets representing flight information in the US. You can consult them in the datasets directory.