GooPyCharts
bokeh
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GooPyCharts | bokeh | |
---|---|---|
0 | 24 | |
205 | 18,700 | |
- | 1.0% | |
0.0 | 9.5 | |
over 6 years ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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GooPyCharts
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Tracking mentions began in Dec 2020.
bokeh
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Bokeh - Interactive Web Plotting for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/bokeh/bokeh
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Emerging Rust GUI libraries in a WASM world
It sounds like you want BokehJS. It was one of the alternatives I was recommended while I was exploring, but for various reasons my particular use case is not so easy to integrate (plus my backend was already in Rust).
https://github.com/bokeh/bokeh
I did do a basic test, and the raw rects-on-screen performance is roughly comparable to my final solution.
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What Python modules can I use to create my own indicators? Like the indicator below, I very new to Python so please don’t be rude
I just came across this: https://bokeh.org/
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Interactive plots
Take a look at Bokeh. https://bokeh.org/
- December goals
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What is the best GUI library for Python?
If so, one approach may be to abandon matplotlib for something like bokeh. Bokeh allows you to add many of the classical GUI elements (slider bars, radio buttons, etc). Depending on your needs, it can either make HTML files with your plots or with a little more work you can set it up as a server.
- why doesn't bokeh boxplot appear?
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AAD auth for Plotly Dash
One particular interesting case is Dash by Plotly. While I myself have previously used Bokeh, I quickly made the transition to Dash since I felt it was more ready for usage as a deployed application. Additionally, having access to Plotly as a charting library is a big plus because it is such a successful open-source project with a strong community and a fantastic library.
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Which GUI library is the best and most worth while to learn.
Check out Bokeh https://bokeh.org/
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
seaborn - Statistical data visualization in Python
Altair - Declarative statistical visualization library for Python
matplotlib - matplotlib: plotting with Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
folium - Python Data. Leaflet.js Maps.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
pygal - PYthon svg GrAph plotting Library
bqplot - Plotting library for IPython/Jupyter notebooks
Graphviz - Simple Python interface for Graphviz
Cartopy - Cartopy - a cartographic python library with matplotlib support
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.