Numpy.NET
Altair
| Numpy.NET | Altair | |
|---|---|---|
| 2 | 47 | |
| 730 | 9,881 | |
| 0.0% | 0.9% | |
| 4.6 | 8.9 | |
| 4 months ago | about 1 month ago | |
| C# | Python | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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.
Numpy.NET
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Is .NET recommended for computer vision and machine learning tasks?
I did find some wrappers - Numpy.NET for numpy, Emgu CV for OpenCV.
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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?
numpy in c#
Altair
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Streamlit Chart Libraries Comparison: A Frontend Developer's Guide
Altair uses Grammar of Graphics principles:
- Vega – A declarative language for interactive visualization designs
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Streamlit 101: The fundamentals of a Python data app
It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”
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Ask HN: What's the best charting library for customer-facing dashboards?
I like Vega-Lite: https://vega.github.io/vega-lite/
It’s built by folks from the same lab as D3, but designed as “a higher-level visual specification language on top of D3” [https://vega.github.io/vega/about/vega-and-d3/]
My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if you need to move to something besides Python to productionize, you can produce the same Vega-Lite definitions using the framework of your choice.
- 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 are some alternatives?
MicroPyScript - MicroPyScript: A test harness for multiple runtimes in PyScript
plotly - The interactive graphing library for Python :sparkles:
beautiful-date - Simple and beautiful way to create date and datetime objects in Python.
bokeh - Interactive Data Visualization in the browser, from Python
Open XML SDK - Open XML SDK by Microsoft
seaborn - Statistical data visualization in Python