๐ Announcing Panel Material UI! A new extension for #PyData dashboards, built on @MaterialUI and @Panel_org. Consistent, modern, and fully compatible.
Find the announcement here: https://t.co/PZcUBhYOvw
#Python#DataScience#Dashboards"
We've been working on improving the AI experience for Python and Panel in the browser and now panel-live is ready for testing!
Try the MCP App server or the Sphinx, MkDocs and Quarto plugins.
๐ https://t.co/ix3acLgoVj
@GitHubCopilot@AnthropicAI@MkDocsProject@pyodide
๐HoloViz MCP now has a CLI.
The same tools that power your AI assistant โ semantic doc search, component introspection, best-practice skills โ are now available directly in your terminal.
$ uv tool install holoviz-mcp
Panel, HoloViz, and Python in the browser are about to get a lot more awesome.
Try it out and let us know what you think โ this hasn't been released yet!
๐https://t.co/ix3acLgoVj
@pyodide#python
We have released holoviz-mcp v 0.15.0. This release brings the `panel_inspect_app` to inspect how you app is behaving in the browser. It also adds the panel-live and panel-reactflow projects to the search index.
๐ https://t.co/DBfA5FTDXw
Introducing Panel ReactFlow โ an official extension bringing the power of React Flow into HoloViz Panel.
Build interactive node-based editors & graph UIsโฆ all in Python!
Try it now: https://t.co/THPHiEZb8k
#Python#DataApps#ReactFlow#HoloViz#Panel
๐ pyglobegl v0.7 by Owen Lamont is out!
Check out this great showcase on how to use it with Panel: https://t.co/LJuqOns8cz
#python#dataviz#datascience#Analytics
Iโve published a short video walkthrough showcasing a Weather Dashboard tutorial built with @HoloViz_org MCP.
This is a personal side project for learning
Check out if you are interested in data apps and LLM tooling.
๐ฅ https://t.co/ymkfgcornl
@Panel_org@ApacheECharts
Just published a new tutorial: Build an Interactive Weather Dashboard with Python, Panel & HoloViz-MCP! ๐ฆ๏ธ๐
Learn how to design and implement a professional weather dashboard via prompts๐
๐Check it out โ perfect for data viz & dashboard builders! ๐ก
#DataViz@HoloViz_org
We love #dataviz. Created in 3 prompts and 15 mins using Panel, Panel Material UI, Echarts and holoviz-mcp. Includes time to do implement proper #pytest and documentation.
@pytestdotorg@ApacheECharts
๐ New tool alert!
Iโve added a holoviz_display tool to the HoloViz MCP server
Paired with the Display Server, it makes it easy for your LLM to display & manage #Python code snippets and #dataviz
๐ฅ Demo: https://t.co/4dzmUkwqyx
๐ Tutorial: Below
@HoloViz_org@Panel_org