Search Results for "qt data visualization"

GitHubPoster is a Python project that turns personal activity data into GitHub-style SVG posters and skyline visualizations. It can transform data from many sources, such as GitHub, Strava, WakaTime, Kindle, Duolingo, Apple Health, ChatGPT exports, NeoDB, AutoSleep, and Google Keep. The project is built around loaders that import data and render it as visually recognizable contribution-style graphics. It is useful for people who want to display habits, reading, coding, health, language...

This repository is a curated collection of color palettes crafted or curated for data visualization in R. The goal is to provide designers, data scientists, and R users with aesthetically pleasing, perceptually consistent color schemes that work well for plots, maps, and graphics. The repo contains static files listing palette definitions (e.g. hex codes, named hues), sample visualizations showing how each palette performs under different contexts (categorical, sequential, diverging), and helper functions/scripts to import or use the palettes in R. ...

Extracts dependencies and OO metrics from Java class files produced by most Java compilers. Computes API differences between versions. No source needed. Includes both Swing and command-line interfaces, with XSL stylesheets for formatting output.

With the help of the ProgramNet the user can develop plug-ins(called units) which can be connected with other units forming a net. The net has a form of a flow diagram. The resulted net can be executed in the ProgramNet for testing purposes or independently in the target platform as a final release. In order to execute a net the ProgramNet uses the kernel. The kernel executes automatically each unit in a separate thread and manages the data exchange between the units.

Skill‑Map is an open-source, collaborative project—originating from Geekbang—offering a structured visualization of programmer skill maps across domains like AI, front-end, backend, architecture, DevOps, and more. It serves as a navigable resource to organize learning paths and essential knowledge areas. Covers areas like AI, big data, architecture, frontend, backend, DevOps, testing, etc. Visual representation of programming and IT skill domains.