Source Files vs GituU

Source Files is a faster way to access GitHub, Gitea, GitLab and BitBucket from the Finder and Files app without having to clone repositories or commit changes. Using REST APIs instead of the traditional Git protocol you will be editing files in even the largest repositories in seconds: • Drag a repository URL to the Files app • Browse the directory that immediately appears • Open and Edit files in your favorite app Source Files is file oriented and making edits to 3 different files will result in 3 commits. It is possible to configure the app to work in a branch where a messy commit history is acceptable and merge changes back using pull requests. Consider using traditional Git clients like Working Copy or Tower for projects that need a tidy commit history in all branches. There is rich support for automation with Shortcuts actions to List, Download, Upload and Move files. Uploading files from the Mac services menu and share sheet is supported and very fast as target directories are remembered for different file types. The app is free to use with a single server. A Pro Unlock is required for multiple servers, available as a one-time purchase or a monthly subscription, with access shared across iPhone, iPad, and Mac. A one-week free trial allows users to evaluate Pro features before purchase. Source Files is restricted by GitHub, GitLab and BitBucket API quotas that depend on your account privileges.

In an era of rapid AI development, transparency and authenticity in coding are more important than ever. GituU is a powerful developer tool designed to detect AI-generated code patterns within any GitHub repository using state-of-the-art on-device Machine Learning. Whether you are a recruiter verifying a candidate's project, a student learning code structure, or a developer auditing your own work, GituU provides deep insights into the origin of code patterns with just a few taps. Key Features: Dual Search Modes: Search for repositories directly via keywords or paste a specific GitHub URL for a deep-dive analysis. Comprehensive ML Analysis: Our model scans code files, commit history, and directory structures to determine the likelihood of AI generation. Detailed Score Breakdown: Get a transparent look at how the AI Score is calculated, including individual ratings for code patterns, commit styles, and project structure. Visual Pattern Recognition: Use our intuitive "Human vs. AI" slider and radial progress indicators to understand repository authenticity at a glance. On-Device Privacy: Analysis is powered by high-performance on-device ML models, ensuring your data remains private and the detection is lightning-fast. Beautiful, Minimalist UI: Designed with a clean, modern interface that makes navigating complex repository data easy and accessible.