Altair
gnuplotlib
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| Altair | gnuplotlib | |
|---|---|---|
| 42 | 10 | |
| 8,912 | 242 | |
| 1.3% | - | |
| 9.0 | 6.4 | |
| 15 days ago | 2 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Altair
- FLaNK AI Weekly 18 March 2024
- FLaNK AI for 11 March 2024
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Vega-Altair: Declarative Visualization in Python
Feel free to open an issue to let us know which parts of the documentation you find obscure and if you have suggestions for how to improve them. We did a larger overhaul a few months back and are always open to feedback on how to improve it further! https://altair-viz.github.io/
(disclaimer: I'm a co-maintainer of Altair)
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Gnuplotlib: Non-Painful Plotting for NumPy
Vega-Altair is pretty great as well. It uses a grammar of graphics that’s slightly different from ggplot, but has most of the same advantages.
https://altair-viz.github.io/
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Altair - Declarative statistical visualization library for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: Altair
- What python library you are using for interactive visualisation?(other than plotly)
- Libs para gráficos
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If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
Yeah, that's one of the main reasons I like altair. It has 10M downloads per month and the newest Git update is from two days ago.
- Data Visualization: Choropleth maps with ggplot and R
gnuplotlib
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Gnuplotlib: Non-Painful Plotting for NumPy
Looks great, minor API usability note: I don't know if there is an official convention but when naming an object that has the potential of overriding a builtin, rather than prepending with an underscore, e.g. `_with`, one does append to it: `with_`. The former is used and recognised for unused variables.
> _with is a curve option that indicates how this dataset should be plotted. It’s _with and not with because the latter is a built-in keyword in Python. [1]
- [1] https://github.com/dkogan/gnuplotlib/blob/master/guide/guide...
- gnuplotlib: numpy plotting with gnuplot
- Gnuplotlib: Gnuplot-Based Plotting for NumPy
- UnicodePlots
- Gnuplotlib: NumPy Plotting with Gnuplot
- Matplotlib Gallery
- gnuplotlib: a gnuplot-based plotting library for numpy
- Plotext – Python Plotting on the Terminal
- Nbterm: Jupyter Notebooks in the Terminal
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
plotext - plotting on terminal
bokeh - Interactive Data Visualization in the browser, from Python
seaborn - Statistical data visualization in Python
uniplot - Lightweight plotting to the terminal. 4x resolution via Unicode.
ggplot - ggplot port for python
jupytext.vim - Vim plugin for editing Jupyter ipynb files via jupytext
plotnine - A Grammar of Graphics for Python
jupyter - An interface to communicate with Jupyter kernels.
matplotlib - matplotlib: plotting with Python
UnicodePlots.jl - Unicode-based scientific plotting for working in the terminal