Table of contents
Panel
High-level app and dashboarding solution for Python.
As Panel is an open source project, you can find more
open source alternatives and stats
on LibHunt.
Flexibility
Panel provides a flexible framework for creating interactive web applications, dashboards, and complex visualizations using Python, allowing developers to leverage their existing Python code without needing to switch to JavaScript or another language.
Integration with HoloViz Ecosystem
Panel integrates seamlessly with other HoloViz tools like HoloViews, GeoViews, and Datashader, enhancing its capabilities for building rich, data-visualization-centric applications.
Support for Multiple Backends
It supports multiple backends, including Bokeh, Plotly, and Matplotlib, giving developers the flexibility to choose their preferred plotting library for rendering their visualizations.
Dynamic and Reactive Features
Panel supports dynamic and reactive UI components that update automatically as data changes, facilitating the creation of interactive and live data applications.
Easy Deployment
Applications built with Panel can be easily deployed on the web using various options, including deploying on Heroku, AWS, or with simple HTTP servers, which helps in transitioning from development to production.
We have collected here some useful links to help you find out if Panel is good.
Check the traffic stats of Panel on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Panel on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Panel's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Panel on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Panel on Reddit. This can help you find out how popualr the product is and what people think about it.
Manganite allows easy conversion of Jupyter notebooks into dashboards. Simply annotate existing notebooks with Jupyter magics and serve them as interactive web apps. Manganite has been created to empower master and doctoral students in econ and management to turn research notebooks into interactive dashboards. The students use Python for data analysis, math programming, and basic machine learning. Instead of... - Source: Hacker News / over 2 years ago
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. Source: about 3 years ago
If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/). Source: about 3 years ago
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. - Source: Hacker News / over 3 years ago
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. Source: over 3 years ago
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. - Source: dev.to / over 3 years ago
Or panel if you already know the holoviz stack. Source: over 3 years ago
I vote for Dash (use it often for a variety of projects of varying complexity), but there's also: * Streamlit, which is quite easy and popular with folks that don't want to learn HTML * Voilร to turn your existing Jupyter notebooks + ipywidgets into an app. It's cool if you're already versed in ipywidgets and don't want to learn something new * Panel, which may not have caught on so much ... * Taipy, which I just... Source: almost 4 years ago
Panel, it's similar to Plotly Dash but has out of the box support for a wider array of libraries, requires less knowledge of CSS, built-in authentication, streaming support and much more. Source: about 4 years ago
For me, Param and the Holoviz stack are what I would reach for. For terminal server frameworks like Flask, Django and FASTAPI, I prefer FastAPI but once Javascript enters the requirements, Pydantic ecosystem has no solution, the Holoviz stack does https://panel.holoviz.org/. Source: over 4 years ago
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Is Panel good? This is an informative page that will help you find out. Moreover, you can review and discuss Panel here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
