Panel: The powerful data exploration & web app framework for Python

High-level tools to simplify visualization in Python.

A repository of awesome panel examples. The apps are running entirely in the browser as webassembly apps. NO SERVER REQUIRED.

✨A MCP server that provides intelligent access to the HoloViz ecosystem for humans and AIs.

Large scale visualizations of unstructured mesh data

Some Python scripts & notebooks for Delft3D4-FLOW turbidity current simulations

Our goal was to create a ML bot that analyzes real time trading data to determine the most opportune times buy and sell stock

This project utilizes Python visualizations packages, such as Plotly Express, HVPlot and PyPlot/Matplotlib to create an interactive dashboard exploring the San Francisco real estate housing market. Uses MapBox API.

Schulungsmaterialen für die Cusy Python-Schulungen: https://cusy.io/de/seminare

Python & SQL project. I analyzed 3 years of my Spotify listenings data (JSON data import and analysis).

Interactive HoloViz visualizations rendered inline in AI chat UIs via MCP Apps Standard

Event for geo-coders to explore open tools and approaches for enhancing geospatial analysis

dashboard for visualizing F1 statistics

Powerful web dashboard for visualizing workout data

This is an application that fetches historical data on 1 index, 4 stocks, and 2 crypto currencies and performs analytical calculations to assist in conducting a relative analysis between the index and the crypto currencies to determine if a relationship exists and the type of relationship for the purpose of conducting portfolio analysis and Mont…

Real estate analysis dashboard with interactive visualizations to explore investment opportunities

Unsupervised Machine Learning analysis to find patterns in Cryptocurrencies market valuations.

Panel Live Server enables humans and AI assistants to display and inspect python outputs including data viz and data apps in real time.

This is in regard to algorithmic trading bot with the use of machine learning to predict potential returns and actual returns.

This repo is about calculating the buying power of economies based on dividing gold price by minimum wages per countries.