highcharts-core
panel
| highcharts-core | panel | |
|---|---|---|
| 2 | 39 | |
| 43 | 4,260 | |
| - | 6.0% | |
| 9.2 | 9.9 | |
| 5 days ago | 5 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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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.
highcharts-core
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Highcharts for Python v.1.4.0 Released
Source Repo
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What python library you are using for interactive visualisation?(other than plotly)
Feel free to check out the GitHub repos at https://github.com/highcharts-for-python . Each of the Highcharts (JS) libraries has a Python analog, so you’ll find Highcharts Core for Python (https://github.com/highcharts-for-python/highcharts-core ), Highcharts Stock for Python, etc.
panel
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This Week In Python
panel – data exploration & web app framework for Python
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panel VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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What python library you are using for interactive visualisation?(other than plotly)
https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements.
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FastAPI, Panel and Bokeh
I'm following the Panel FastAPI example here: https://github.com/holoviz/panel/blob/main/examples/apps/fastApi/main.py
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How to approach GIS and which language to use
If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/).
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Panel - A high-level app and dashboarding solution for Python
panel
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Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
My suggestion is https://panel.holoviz.org/
Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL.
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Updating a page with MQTT
I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days.
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Mercury – Turn Python Notebooks to Web Apps
Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).
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4 Streamlit Alternatives for Building Python Data Apps
Like the previous three alternatives, Panel is an open-source Python library for creating interactive dashboard web apps. Panel is extremely flexible, allowing you to use any plotting library you like. Like Gradio but unlike Streamlit, you can use Panel in Jupyter notebooks. Panel dashboards can also be deployed as standalone web apps, but like Plotly Dash, you'll need to set up a server to deploy it yourself.
What are some alternatives?
Altair - Declarative statistical visualization library for Python
streamlit - Streamlit — A faster way to build and share data apps.
highcharts-maps - Python wrapper for the Highcharts Maps data visualization library.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
Highcharts JS - Highcharts JS, the JavaScript charting framework
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
highcharts-stock - Python wrapper for the Highcharts Stock data visualization library.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
jupyterlite - Wasm powered Jupyter running in the browser 💡
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies