Scc is a codebase analysis tool written in Go that calculates source lines of code, blank lines, and comments across hundreds of programming and markup languages. It functions as a source code metric engine, software complexity analyzer, and cost estimator. The project differentiates itself by providing a COCOMO cost estimator to predict development effort and financial costs, alongside tools to estimate the cost of regenerating a codebase using large language models. It also includes a Git repository metrics tool that correlates commit history with codebase metrics to identify hotspots, trac
git-extras is a collection of command line utilities that extend the functionality of the Git version control system. It provides a suite of shortcuts and additional commands for history manipulation, remote management, repository analysis, and workflow automation. The project distinguishes itself by offering deep integration with hosting providers to manage pull requests and forks, alongside advanced history tools for obliterating sensitive files and rewriting author metadata. It also includes a specialized interactive shell that allows users to execute commands without repeating the binary
git-quick-stats is a command-line tool for calculating commit counts, line changes, and contributor metrics from Git history. It functions as a repository statistics tool, metrics generator, and contribution analyzer that extracts quantitative data from Git logs. The tool distinguishes itself through the ability to generate frequency maps and activity trends to visualize development momentum over time. It provides specific controls to isolate project history by toggling the visibility of merge commits. The software covers a broad range of analytics, including contributor impact tracking and
waka-readme-stats is an automated profile README updater and developer statistics dashboard. It integrates with the WakaTime API and compatible self-hosted endpoints to synchronize time-tracking data, which it then transforms into a formatted display of coding hours, languages, and operating systems. The tool operates as a GitHub Action that fetches metrics and automatically updates a profile README file by replacing marker comments with dynamic content via git commits. It allows for custom API endpoint integration to support self-hosted services. The system provides capabilities for metrics
Sourcerer App is a developer experience dashboard and Git repository analyzer that extracts statistical data to build technical skill profiles. It functions as a GitHub profile visualizer, creating a graphical representation of a programmer's expertise based on actual code usage across multiple software projects.
Principalele funcționalități ale sourcerer-io/sourcerer-app sunt: Profile Visualizations, Commit History Analysis, Developer Experience Dashboards, Developer Profile Dashboards, Git Repository Analysis, Git Repository Analyzers, Local Repository Analyzers, Local Code Scanning.
Alternativele open-source pentru sourcerer-io/sourcerer-app includ: boyter/scc — Scc is a codebase analysis tool written in Go that calculates source lines of code, blank lines, and comments across… tj/git-extras — git-extras is a collection of command line utilities that extend the functionality of the Git version control system.… arzzen/git-quick-stats — git-quick-stats is a command-line tool for calculating commit counts, line changes, and contributor metrics from Git… anmol098/waka-readme-stats — waka-readme-stats is an automated profile README updater and developer statistics dashboard. It integrates with the… tipsy/profile-summary-for-github — This project is a GitHub profile visualization tool and activity dashboard that transforms raw data from the GitHub… ionicabizau/git-stats — git-stats is a git statistics analyzer and contribution calendar tool. It extracts commit data from local repositories…