SciencePlots
plotly.rs
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| SciencePlots | plotly.rs | |
|---|---|---|
| 8 | 7 | |
| 6,471 | 961 | |
| - | 3.3% | |
| 5.9 | 4.7 | |
| 3 months ago | about 18 hours ago | |
| Python | Rust | |
| MIT License | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SciencePlots
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Lets-Plot: An open-source plotting library by JetBrains
This seems quite similar to plotnine [0], which also provides a grammar of graphics interface for Python. That said, I love ggplot and I can't wait to use this in my research! I hope we can port/re-implement ggthemes, scientificplots [1], and other ggplot libraries for lets-plot.
0: https://plotnine.readthedocs.io/en/stable/
1: https://github.com/garrettj403/SciencePlots
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Resources for data visualization (free & paid) for scientific publications
What is it about matplotlib that you object to? If it’s just the number of commands needed to get it right, you can look at something like https://github.com/garrettj403/SciencePlots that will get you most of the way.
- Matplotlib Styles for Scientific Plotting
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LovelyPlots
I know a lot of academics that do, but wouldn't recommend it personally. Also, there is https://github.com/garrettj403/SciencePlots
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Struggling with Python
Seeing as you're doing bioinformatics, I recommend Juptyer notebooks and pandas if you're not already. The pandas documentation is very extensive which is helpful. I also recommend SciencePlots for publication quality plots.
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Using Python (and matplotlib) for plotting in academia
I have also found SciencePlots. Should I use this in addition to cmcrameri?
- Matplotlib style library for Scientific plots
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?
paperetl - 📄 ⚙️ ETL processes for medical and scientific papers
rustymind - A driver, parser and real time plotter for NeuroSky MindWave EEG headset
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
graphest - A faithful graphing calculator
dufte - :chart_with_upwards_trend: Minimalistic Matplotlib style
lowcharts - Tool to draw low-resolution graphs in terminal
daltonize - Simulate and correct images for dichromatic color blindness
Plotly.jl - A Julia interface to the plot.ly plotting library and cloud services
sane_tikz - Reconquer the canvas: beautiful Tikz figures without clunky Tikz code
cli-candlestick-chart - 📈 Display candlestick charts right into your terminal.
VSCode-LaTeX-Inkscape - ✍️ A way to integrate LaTeX, VS Code, and Inkscape in macOS
datashader - Quickly and accurately render even the largest data.