candygraph
plotly.rs
| candygraph | plotly.rs | |
|---|---|---|
| 1 | 7 | |
| 426 | 977 | |
| - | 4.0% | |
| 4.2 | 4.7 | |
| 2 months ago | 5 days ago | |
| TypeScript | Rust | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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candygraph
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Lets-Plot: An open-source plotting library by JetBrains
This one does! https://github.com/wwwtyro/candygraph
Scroll down into the examples for some plots with lots of points: https://wwwtyro.github.io/candygraph/examples/dist/
plotly.rs
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Lets-Plot: An open-source plotting library by JetBrains
That's odd. Are you sure this is not related to Jupyter? I use plotly.js via a Rust wrapper (https://github.com/igiagkiozis/plotly) and the performance seems ok when generating a static, interactive html. The wrapper language itself should be irrelevant here. Is it the same if you generate a static html-file?
While I can't speak for millions of data points, generating a gyroscope plot with x, y, z, where each gyro axis is 400k+ samples is fine performance wise. This is generating a static, interactive html. Zooming etc is fine on my M1 MacbookPro 13" - delay when zooming in this specific case is maybe 0.5secs. The html-file is 60mb+.
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What dashboard UI tools does the Rust ecosystem have?
There is a port of plotly to Rust (https://github.com/igiagkiozis/plotly). I used to make plots in Python using the python bindings and pandas, but never used the Rust bindings. I imagine it could be very powerful when integrated with polars.
- Plotting library for lots of points
- What's are good plotting libraries?
- Plotly-rs v0.8.1 released - create advanced and interactive charts with Rust. Supports Wasm.
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Data visualization in rust
Check out https://github.com/igiagkiozis/plotly
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Blog Post: Builder Lite
We use this pattern extensively in plotly.rs, e.g.: here, with good success.
What are some alternatives?
Pipe - A Python library to use infix notation in Python
rustymind - A driver, parser and real time plotter for NeuroSky MindWave EEG headset
pygg - ggplot2 syntax in python. Actually wrapper around Wickham's ggplot2 in R
graphest - A faithful graphing calculator
SciencePlots - Matplotlib styles for scientific plotting
implot - Immediate Mode Plotting
lowcharts - Tool to draw low-resolution graphs in terminal
echarts-for-react - ⛳️ Apache ECharts components for React wrapper. 一个简单的 Apache echarts 的 React 封装。
Plotly.jl - A Julia interface to the plot.ly plotting library and cloud services
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
datashader - Quickly and accurately render even the largest data.