github/git-sizer
Git Sizer
git-sizer is a repository size analyzer and auditing tool used to calculate the size of Git objects, references, and commit histories. It functions as a blob and commit auditor, a history depth profiler, and a checkout weight calculator to identify performance bottlenecks within a Git store.
The tool identifies oversized files and bloated commits to assist with repository maintenance and storage analysis. It detects large objects and measures the depth of commit chains and annotated tags to analyze repository complexity and bloat.
The software covers version control auditing and performance optimization by measuring the potential disk space and path depth required for a full working copy checkout. It employs a mechanism to flag components that exceed size limits and analyzes the impact of large objects on development operations.
Features
- Git Blob and Commit Auditors - Detects oversized files and bloated commits within a Git store to help optimize repository storage.
- Raw Object Reading - Provides direct access to raw Git object data on disk to calculate exact repository sizes without a full checkout.
- Commit History Traversal - Implements programmatic walking of commit graphs and tree structures to determine repository depth and complexity.
- Git Performance Analysis - Identifies oversized blobs and complex commit chains to improve cloning and checkout speeds for developers.
- Git Repository Analysis - Calculates and audits the size of Git objects, references, and commit histories to identify performance bottlenecks.
- Git Repository Analyzers - Analyzes the size and structure of Git repositories to find large files or deep histories.
- Large Object Detection - Flags individual blobs and commits exceeding size limits to locate problematic files within the store.
- Repository Bloat Analysis - Computes size metrics for local objects and references to identify oversized components affecting development operations.
- Git Storage Analysis - Locates specific large files or directories within a Git store to determine which assets require external storage.
- Recursive Tree Traversal Algorithms - Traverses nested Git tree objects recursively to identify the largest blobs and calculate total checkout weight.
- Project History Auditing - Measures commit chain depth and annotated tags to detect complex histories hindering performance.
- Version Control Auditing - Measures the scale of local Git objects and references to ensure repositories stay within manageable hardware and network limits.
- History Depth Profilers - Analyzes the depth of commit chains and annotated tags to assess repository complexity.
- Checkout Impact Measurement - Calculates the size and path depth of the largest potential working copy to identify excessive disk space consumption.
- Checkout Weight Calculators - Computes the potential disk space and path depth required for a full working copy checkout.
- Repository Metadata Aggregators - Processes repository metadata in a linear scan to minimize disk I/O and memory overhead during auditing.
- Alert Thresholds - Compares calculated object and history metrics against pre-defined limits to flag problematic repository components.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
