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avgupta456 avatar

avgupta456/github-trendsArchived

0
View on GitHub↗
16,016 estrellas·117 forks·Python·MIT·3 vistasgithubtrends.io↗

Github Trends

GitHub Trends is a tool that generates embeddable SVG cards displaying live code contribution statistics from GitHub activity. It focuses on visualizing lines of code written per programming language, per repository, and over specified time periods, designed for inclusion in GitHub profile readmes.

The project provides a range of SVG card types, including language breakdown cards that show a user's top programming languages by lines of code committed, repository activity cards that rank repositories by contribution volume, and time-based contribution cards that display code written over a chosen interval. These cards can be embedded directly into profile readmes via dynamic URLs that render live data from the GitHub API.

Beyond the default card options, the project offers an API for customizing SVG cards, and supports running code statistics locally without sending an access token to any external service. The documentation covers generating and embedding these cards, as well as configuring them through the API.

Features

  • Coding Activity Visualizations - Creates visual cards showing lines of code per language, repository, and time from GitHub.
  • GitHub Stats Cards - Generates embeddable SVG cards displaying live GitHub contribution statistics for profile readmes.
  • Language Distribution Cards - Creates SVG cards showing lines of code per programming language from GitHub repositories.
  • SVG Data Visualization - Creates SVG cards showing lines of code per programming language from GitHub activity.
  • Statistics Card Generators - Generates SVG cards displaying lines of code written over a specified time period from GitHub activity.
  • Repository Cards - Creates SVG cards showing lines of code written per repository for embedding in profile readmes.
  • Profile Statistics Generators - Provides embeddable SVG URLs for live code contribution statistics in profiles.
  • Top Language Cards - Generates SVG cards showing top languages by lines of code committed over time.
  • Top Repository Cards - Generates SVG cards showing top repositories ranked by lines of code contributed.
  • Local Code Statistics - Supports running code statistics locally without sending an access token to any external service.
  • SVG Card Customization APIs - Provides an API for customizing SVG cards beyond default options.

Historial de estrellas

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Preguntas frecuentes

¿Qué hace avgupta456/github-trends?

GitHub Trends is a tool that generates embeddable SVG cards displaying live code contribution statistics from GitHub activity. It focuses on visualizing lines of code written per programming language, per repository, and over specified time periods, designed for inclusion in GitHub profile readmes.

¿Cuáles son las características principales de avgupta456/github-trends?

Las características principales de avgupta456/github-trends son: Coding Activity Visualizations, GitHub Stats Cards, Language Distribution Cards, SVG Data Visualization, Statistics Card Generators, Repository Cards, Profile Statistics Generators, Top Language Cards.

¿Qué alternativas de código abierto existen para avgupta456/github-trends?

Las alternativas de código abierto para avgupta456/github-trends incluyen: anuraghazra/github-readme-stats — This project is a serverless service that generates dynamic, themeable visual summaries of software development… vn7n24fzkq/github-profile-summary-cards. lowlighter/metrics — This project is an automated data visualization engine designed to generate dynamic images and charts from repository… rahuldkjain/github-profile-readme-generator — This project is a web-based Markdown profile builder designed to create professional landing pages for GitHub… denvercoder1/github-readme-streak-stats — This project is a GitHub contribution streak tracker and profile README statistic generator. It functions as a… clientio/joint — Joint is a JavaScript library for building interactive visual diagrams and flowcharts using Scalable Vector Graphics.…

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