This article introduces Streamlit, a Python library for building data dashboards, as a solution for Python programmers to create graphical front-ends without needing to delve into CSS, HTML, or JavaScript. The author, a seasoned data engineer, explains how Streamlit and similar tools enable the creation of attractive dashboards, marking a shift from traditional tools like Tableau or Quicksight. This piece serves as the first in a series focusing on Streamlit, with future articles planned on Gradio and Taipy. The author aims to replicate similar layouts and functionalities across dashboards using consistent data.
An exploration of AG Grid, a JavaScript data grid library used to build interactive and advanced data tables or grids in web applications, highlighting its features, performance, and how it compares to other solutions.
A visual representation of papers on ArXiv using UMAP and nomic-embed.
A map of math articles from ArXiv using t-SNE and nomic-embed.
This article details a data-driven exploration of owl species, using Wikipedia data to create a network visualization of owl relationships.
This article introduces Path-Swarm and Super-Swarm, new techniques for creating swarm charts using circle arrangements for data visualization. The author, Nick Gerend, discusses two primary swarm techniques and some extensions for rapid visual exploration of data. Written for Towards Data Science.
eplot is an Emacs package for generating time series charts, plots and bar charts interactively.
