panel
react-virtualized
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panel | react-virtualized | |
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39 | 40 | |
4,192 | 25,951 | |
7.0% | - | |
9.9 | 1.6 | |
2 days ago | 4 months ago | |
Python | JavaScript | |
BSD 3-clause "New" or "Revised" License | MIT 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.
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.
react-virtualized
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The Secret Weapon of Top Developers: 7 React JS Libraries You Can't Afford to Ignore
You may increase the rendering efficiency of tabular and huge list data by using the React Virtualized module. React apps perform better overall when the quantity of requests and DOM elements is limited. React Virtualized is comparable to many other tools; however, what sets it apart from the competition is the sheer volume of features and excellent upkeep.
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33 React Libraries Every React Developer Should Have In Their Arsenal
17.react-virtualized
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React Virtualisation from scratch
If you have been using React for awhile, you may have heard of the infamous virtualisation library react-window or it's predecessor react-virtualized
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13 Must Know Libraries for a React Developer
React Virtualized is a React library that helps you work with large lists and tabular data efficiently in React. It has more than 25K stars on GitHub and more than 2.5 million weekly downloads on NPM as of August 2023.
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Faster re-rending of table when only inserts are needed
Use virtualization (e.g. react-virtualized) to prevent off-screen components from actually rendering.
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5 Tips for Optimizing ReactJS Performance and Building Lightning-Fast Applications
Virtualization can be achieved using third-party libraries like react-window or react-virtualized. These libraries provide a way to render only the visible data and load more data as needed, resulting in faster application performance.
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Phoenix Dev Blog - Streams
You can implement the same pattern on the web when dealing with large amount of data. There are some libraries for React that trivialize this, like https://github.com/bvaughn/react-virtualized
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Introducing Suspense: APIs to simplify data loading and caching, for use with React Suspense.
Oh, right. I totally forgot to mention that– but the idea of "less rendering" in this case seems less like a Suspense concern and more like a windowing concern. I've written a few libraries for that stuff (react-window and react-virtualized) although there are others that may fit your needs better. Their main focus is limiting what you're rendering to more or less only what's on the screen at any given point. Combine that with memoized filtering and I would imagine you're set.
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Best infinity scroll?
I've used the InfiniteLoader from react-virtualized in combination with useInfiniteQuery from @tanstack/react-query and it was relatively painless.
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Thoughts on this Timeline design I've been working on?
Here’s a react library https://github.com/bvaughn/react-virtualized
What are some alternatives?
streamlit - Streamlit — A faster way to build and share data apps.
react-lazyload - Lazy load your component, image or anything matters the performance.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
react-window - React components for efficiently rendering large lists and tabular data
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
react-virtual - 🤖 Headless UI for Virtualizing Large Element Lists in JS/TS, React, Solid, Vue and Svelte [Moved to: https://github.com/TanStack/virtual]
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.
react-virtuoso - The most powerful virtual list component for React
jupyterlite - Wasm powered Jupyter running in the browser 💡
vite - Next generation frontend tooling. It's fast!