Name: Marc Skov Madsen
Type: User
Company: Data, models and analytics
Bio: Data, Models and Analytics Ninja.
PhD, CFA®, Head of Trading Applications & Insights at Ørsted.
Developer of awesome-panel.org. Contributor to HoloViz
Twitter: MarcSkovMadsen
Location: Børkop, Denmark
Blog: datamodelsanalytics.com
Marc Skov Madsen's Projects
Python framework for TradingView's Lightweight Charts JavaScript library.
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Simple project for using weather data to forecast loads
A framework for load testing data apps in Python using Playwright
Python API for Intelligent Visual Data Discovery
Static resources for Lux (GIFs and images)
🧠 Make your AI models interactive in no time.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The Pandata scalable open-source analysis stack
A high-level app and dashboarding solution for Python
🧠 Paithon. Explore and share your Python Models in no time.
Example recipes for https://github.com/holoviz/panel/pull/5333
A conda-smithy repository for panel-chemistry.
A repository of components for Panel
A repository setting up a HoloViz Panel Development Environment
Temporary repository for adding codespaces devcontainer to Panel
Repository demonstrating how to deploy to fly.io
A template for combining HoloViz Panel with Apache Kafka and Faust to create awesome analytics apps that are event and supports streaming.
A basic Panel lightning app
An example app for running model training from a github repository using Panel and Lightning
A repository for experimentation with Panel and Pyodide/ Pyscript
A repository of short, visual videos great for communication
Param: Make your Python code clearer and more reliable by declaring Parameters
A mypy plugin for HoloViz Param
The param-stubgen can create type stubs for Param Parameterized classes. This enable mypy and other static type analysis tools to check your code. This enables VS Code to deeply understand your code.