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A small (~40 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 ~40 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 need 60fps performance with massive streaming datasets, uPlot can only get you so far. WebGL should still be the tool of choice for applications like realtime signal or waveform visualizations: See danchitnis/webgl-plot, huww98/TimeChart, epezent/implot, or commercial products like LightningChart®.
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 this hardware:
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 | mousemove (10s) | | ---------------------- | ------- | ------- | ----------------- | --------------- | ------------------- | | uPlot v1.6.9 | 39 KB | 58 ms | 70 1 1 38 | 20 MB 3 MB | 65 159 88 103 | | ECharts v5.1.0 | 987 KB | 88 ms | 87 1 1 47 | 55 MB 5 MB | 1463 284 84 521 | | Chart.js v3.2.0 | 233 KB | 80 ms | 118 1 1 41 | 34 MB 11 MB | 725 30 57 1467 | | Flot v3.0.0 | 494 KB | 91 ms | 118 3 1 55 | 46 MB 16 MB | --- | | LightningChart® v2.2.1 | 1000 KB | --- ms | 178 2 1 42 | 61 MB 22 MB | 5310 46 43 180 | | dygraphs v2.1.0 | 125 KB | 135 ms | 159 2 1 75 | 99 MB 44 MB | 1087 162 74 205 | | CanvasJS v3.2.13 | 482 KB | 241 ms | 271 2 1 66 | 52 MB 26 MB | 961 256 76 195 | | Highcharts v9.0.1 | 391 KB | --- ms | 286 4 2 42 | 108 MB 33 MB | 840 301 132 155 | | dvxCharts v5.0.0 | 369 KB | 253 ms | 310 18 1 51 | 60 MB 24 MB | 674 442 148 145 | | Plotly.js v1.58.4 | 3500 KB | 377 ms | 408 5 1 71 | 199 MB 46 MB | 1087 114 29 82 | | Chart.js v2.9.4 | 245 KB | 495 ms | 524 2 1 75 | 103 MB 54 MB | 8397 5 6 1158 | | ECharts v4.9.0 | 785 KB | 366 ms | 498 1 1 581 | 224 MB 78 MB | 2265 64 17 7551 | | ApexCharts v3.26.1 | 478 KB | --- ms | 1634 22 1 44 | 332 MB 70 MB | 8611 646 99 154 | | ZingChart v2.9.3 | 857 KB | 2081 ms | 2101 5 1 38 | 191 MB 100 MB | --- | | amCharts v4.10.18 | 1200 KB | 5564 ms | 4925 19 6 67 | 695 MB 237 MB | 1494 336 164 285 |
Normally, all libs are updated to their latest versions before each benchmark round. However, libraries which show significant performance improvements in latest versions will have prior versions shown to encourage migration; this is especially true for still-widely-deployed libs, such as Chart.js v2.9.4, and ECharts v4.9.0. Deployment prevalence is assessed from public npm and CDN download stats for the prior few months.
size
includes the lib itself plus any dependencies required to render the benchmark, e.g. Moment, jQuery, etc.Some libraries provide their own performance demos:
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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