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A small (~30 KB min), fast chart for time series, lines, areas, ohlc & bars (MIT Licensed)
μPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars; from a cold start it can create an interactive chart containing 150,000 data points in 135ms, scaling linearly at ~25,000 pts/ms. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~30 KB, it's likely the smallest and fastest time series plotter that doesn't make use of context-limited WebGL shaders or WASM, both of which have much higher startup cost and code size.
However, if you're looking for true real-time 60fps performance with massive datasets, uPlot can only get you so far. WebGL should still be the tool of choice for applications like realtime signal or waveform visualizations: Try danchitnis/webgl-plot, huww98/TimeChart, epezent/implot.
In order to stay lean, fast and focused the following features will not be added:
The docs are a perpetual work in progress, it seems. Start with /docs/README.md for a conceptual overview. The full API is further documented via comments in /dist/uPlot.d.ts. Additionally, an ever-expanding collection of runnable /demos covers the vast majority of uPlot's API.
Benchmarks done on a ThinkPad T480S:
Full size: https://leeoniya.github.io/uPlot/demos/multi-bars.html
Raw data: https://github.com/leeoniya/uPlot/blob/master/bench/results.json
| lib | size | done | js,rend,paint,sys | heap peak,final | interact (10s) | | -------------- | ------- | ------- | ----------------- | --------------- | ------------------- | | uPlot | 28 KB | 65 ms | 99 5 1 67 | 15 MB 3 MB | 198 371 129 237 | | Chart.js-next | 229 KB | 235 ms | 289 2 1 95 | 32 MB 20 MB | 3604 34 46 6125 | | LightningChart | 931 KB | --- ms | 356 3 1 70 | 26 MB 20 MB | 9114 65 55 272 | | dygraphs | 125 KB | 185 ms | 260 4 2 171 | 93 MB 48 MB | 2294 241 114 404 | | CanvasJS | 479 KB | 323 ms | 378 5 1 93 | 40 MB 25 MB | 2173 457 119 397 | | Flot | 494 KB | 334 ms | 202 7 2 283 | 24 MB 19 MB | --- | | dvxcharts | 369 KB | 326 ms | 585 34 2 62 | 62 MB 26 MB | 1394 717 204 270 | | Highcharts | 384 KB | --- ms | 748 9 2 75 | 49 MB 21 MB | 2012 725 217 317 | | Chart.js | 245 KB | 654 ms | 718 4 2 164 | 101 MB 85 MB | 5550 5 7 4020 | | Plotly.js | 3400 KB | 465 ms | 828 7 1 83 | 50 MB 28 MB | 1507 229 53 177 | | ECharts | 785 KB | --- ms | 718 6 7 1120 | 116 MB 77 MB | 2016 70 25 7856 | | ApexCharts | 460 KB | --- ms | 2137 28 3 73 | 170 MB 97 MB | 2030 220 28 122 | | ZingChart | 857 KB | 2535 ms | 2711 7 1 66 | 143 MB 85 MB | --- | | amCharts | 1200 KB | 5825 ms | 7509 47 13 78 | 256 MB 256 MB | 6932 1288 282 512 |
size
includes the lib itself plus any dependencies required to render the benchmark, e.g. Moment, jQuery, etc.TODO (all of these use SVG, so performance should be similar to Highcharts):
FAQs
A small, fast chart for time series, lines, areas, ohlc & bars
The npm package uplot receives a total of 93,883 weekly downloads. As such, uplot popularity was classified as popular.
We found that uplot demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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