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---
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title: "GitPython: Python Library for Git Repository Interaction"
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library_name: GitPython
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pypi_package: GitPython
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category: version_control
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python_compatibility: "3.7+"
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last_updated: "2025-11-02"
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official_docs: "https://gitpython.readthedocs.io"
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official_repository: "https://github.com/gitpython-developers/GitPython"
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maintenance_status: "stable"
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---
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# GitPython: Python Library for Git Repository Interaction
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## Official Information
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### Repository and Package Details
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- **Official Repository**: <https://github.com/gitpython-developers/GitPython> @[github.com]
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- **PyPI Package**: `GitPython` @[pypi.org]
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- **Current Version**: 3.1.45 (as of research date) @[pypi.org]
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- **Official Documentation**: <https://gitpython.readthedocs.io/> @[readthedocs.org]
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- **License**: 3-Clause BSD License (New BSD License) @[github.com/LICENSE]
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### Maintenance Status
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The project is in **maintenance mode** as of 2025 @[github.com/README.md]:
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- No active feature development unless contributed by community
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- Bug fixes limited to safety-critical issues or community contributions
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- Response times up to one month for issues
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- Open to contributions and new maintainers
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- Widely used and actively maintained by community
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### Version Requirements
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- **Python Support**: Python >= 3.7 @[setup.py]
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- **Explicit Compatibility**: Python 3.7, 3.8, 3.9, 3.10, 3.11, 3.12 @[setup.py]
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- **Python 3.13-3.14**: Not explicitly tested but likely compatible given 3.12 support
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- **Git Version**: Git 1.7.x or newer required @[README.md]
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- **System Requirement**: Git executable must be installed and available in PATH
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## Core Purpose
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### Problem Statement
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GitPython solves the challenge of programmatically interacting with Git repositories from Python without manually parsing git command output or managing subprocess calls @[Context7]:
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1. **Abstraction over Git CLI**: Provides high-level (porcelain) and low-level (plumbing) interfaces to Git operations
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2. **Object-Oriented Access**: Represents Git objects (commits, trees, blobs, tags) as Python objects
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3. **Repository Automation**: Enables automation of repository management, analysis, and manipulation
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4. **Mining Software Repositories**: Facilitates extraction of repository metadata for analysis
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### When to Use GitPython
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**Use GitPython when you need to:**
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- Access Git repository metadata programmatically (commits, branches, tags)
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- Traverse commit history with complex filtering
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- Analyze repository structure and content
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- Automate repository operations in Python applications
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- Build tools for repository mining or analysis
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- Inspect repository state without manual git command parsing
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- Work with Git objects (trees, blobs) programmatically
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### What Would Be "Reinventing the Wheel"
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Without GitPython, you would need to @[github.com/README.md]:
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- Manually execute `git` commands via `subprocess`
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- Parse git command output (often text-based)
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- Handle edge cases in output formatting
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- Manage object relationships manually
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- Implement caching and optimization
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- Handle cross-platform differences in git output
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## Real-World Usage Examples
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### Example Projects Using GitPython
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1. **PyDriller** (908+ stars) - Python framework for mining software repositories @[github.com/ishepard/pydriller]
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- Analyzes Git repositories to extract commits, developers, modifications, diffs
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- Provides abstraction layer over GitPython for research purposes
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2. **Kivy Designer** (837+ stars) - UI designer for Kivy framework @[github.com/kivy/kivy-designer]
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- Uses GitPython for version control integration in IDE
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3. **GithubCloner** (419+ stars) - Clones GitHub repositories of users and organizations @[github.com/mazen160/GithubCloner]
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- Leverages GitPython for batch repository cloning
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4. **git-story** (256+ stars) - Creates video animations of Git commit history @[github.com/initialcommit-com/git-story]
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- Uses GitPython to traverse commit history for visualization
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5. **Dulwich** (2168+ stars) - Pure-Python Git implementation @[github.com/jelmer/dulwich]
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- Alternative to GitPython with pure-Python implementation
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### Common Usage Patterns
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#### Pattern 1: Repository Initialization and Cloning
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```python
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from git import Repo
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# Clone repository
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repo = Repo.clone_from('https://github.com/user/repo.git', '/local/path')
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# Initialize new repository
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repo = Repo.init('/path/to/new/repo')
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# Open existing repository
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repo = Repo('/path/to/existing/repo')
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```
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@[Context7/tutorial.rst]
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#### Pattern 2: Accessing Repository State
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```python
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from git import Repo
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repo = Repo('/path/to/repo')
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# Get active branch
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active_branch = repo.active_branch
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# Check repository status
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is_modified = repo.is_dirty()
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untracked = repo.untracked_files
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# Access HEAD commit
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latest_commit = repo.head.commit
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```
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@[Context7/tutorial.rst]
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#### Pattern 3: Commit Operations
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```python
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from git import Repo
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repo = Repo('/path/to/repo')
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# Stage files
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repo.index.add(['file1.txt', 'file2.py'])
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# Create commit
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repo.index.commit('Commit message')
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# Access commit metadata
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commit = repo.head.commit
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print(commit.author.name)
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print(commit.authored_datetime)
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print(commit.message)
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print(commit.hexsha)
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```
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@[Context7/tutorial.rst]
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#### Pattern 4: Branch Management
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```python
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from git import Repo
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repo = Repo('/path/to/repo')
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# List all branches
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branches = repo.heads
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# Create new branch
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new_branch = repo.create_head('feature-branch')
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# Checkout branch (safer method)
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repo.git.checkout('branch-name')
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# Access branch commit
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commit = repo.heads.main.commit
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```
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@[Context7/tutorial.rst]
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#### Pattern 5: Traversing Commit History
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```python
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from git import Repo
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repo = Repo('/path/to/repo')
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# Iterate through commits
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for commit in repo.iter_commits('main', max_count=50):
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print(f"{commit.hexsha[:7]}: {commit.summary}")
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# Get commits for specific file
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commits = repo.iter_commits(paths='specific/file.py')
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# Access commit tree and changes
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for commit in repo.iter_commits():
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for file in commit.stats.files:
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print(f"{file} changed in {commit.hexsha[:7]}")
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```
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@[Context7/tutorial.rst]
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## Integration Patterns
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### Repository Management Pattern
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GitPython provides abstractions for repository operations @[Context7/tutorial.rst]:
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- **Repo Object**: Central interface to repository
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- **References**: Branches (heads), tags, remotes
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- **Index**: Staging area for commits
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- **Configuration**: Repository and global Git config access
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### Automation Patterns
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#### CI/CD Integration
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```python
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from git import Repo
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def deploy_on_commit():
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repo = Repo('/app/source')
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# Fetch latest changes
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origin = repo.remotes.origin
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origin.pull()
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# Check if deployment needed
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if repo.head.commit != last_deployed_commit:
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trigger_deployment()
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```
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#### Repository Analysis
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```python
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from git import Repo
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from collections import defaultdict
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def analyze_contributors(repo_path):
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repo = Repo(repo_path)
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contributions = defaultdict(int)
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for commit in repo.iter_commits():
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contributions[commit.author.email] += 1
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return dict(contributions)
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```
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#### Automated Tagging
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```python
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from git import Repo
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def create_version_tag(version):
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repo = Repo('.')
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repo.create_tag(f'v{version}', message=f'Release {version}')
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repo.remotes.origin.push(f'v{version}')
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```
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## Python Version Compatibility
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### Verified Compatibility
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- **Python 3.7-3.12**: Fully supported and tested @[setup.py]
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- **Python 3.13-3.14**: Not explicitly tested but should work (no breaking changes identified)
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### Dependency Requirements
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GitPython requires @[README.md]:
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- `gitdb` package for Git object database operations
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- `git` executable (system dependency)
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- Compatible with all major operating systems (Linux, macOS, Windows)
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### Platform Considerations
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- **Windows**: Some limitations noted in Issue #525 @[README.md]
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- **Unix-like systems**: Full feature support
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- **Git Version**: Requires Git 1.7.x or newer
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## Usage Examples from Documentation
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### Repository Initialization
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```python
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from git import Repo
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# Initialize working directory repository
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repo = Repo("/path/to/repo")
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# Initialize bare repository
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repo = Repo("/path/to/bare/repo", bare=True)
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```
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@[Context7/tutorial.rst]
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### Working with Commits and Trees
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```python
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from git import Repo
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repo = Repo('.')
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# Get latest commit
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commit = repo.head.commit
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# Access commit tree
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tree = commit.tree
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# Get tree from repository directly
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repo_tree = repo.tree()
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# Navigate tree structure
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for item in tree:
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print(f"{item.type}: {item.name}")
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```
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@[Context7/tutorial.rst]
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### Diffing Operations
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```python
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from git import Repo
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repo = Repo('.')
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commit = repo.head.commit
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# Diff commit against working tree
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diff_worktree = commit.diff(None)
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# Diff between commits
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prev_commit = commit.parents[0]
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diff_commits = prev_commit.diff(commit)
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# Iterate through changes
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for diff_item in diff_worktree:
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print(f"{diff_item.change_type}: {diff_item.a_path}")
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```
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@[Context7/changes.rst]
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### Remote Operations
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```python
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from git import Repo, RemoteProgress
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class ProgressPrinter(RemoteProgress):
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def update(self, op_code, cur_count, max_count=None, message=''):
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print(f"Progress: {cur_count}/{max_count}")
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repo = Repo('/path/to/repo')
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origin = repo.remotes.origin
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# Fetch with progress
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origin.fetch(progress=ProgressPrinter())
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# Pull changes
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origin.pull()
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# Push changes
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origin.push()
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```
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@[Context7/tutorial.rst]
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## When NOT to Use GitPython
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### Performance-Critical Operations
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- **Large repositories**: GitPython can be slow on very large repos
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- **Bulk operations**: Consider `git` CLI directly for batch operations
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- **Resource-constrained environments**: GitPython can leak resources in long-running processes
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### Long-Running Processes
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GitPython is **not suited for daemons or long-running processes** @[README.md]:
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- Resource leakage issues due to `__del__` method implementations
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- Written before deterministic destructors became unreliable
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- **Mitigation**: Factor GitPython into separate process that can be periodically restarted
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- **Alternative**: Manually call `__del__` methods when appropriate
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### Simple Git Commands
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When you only need simple git operations:
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- **Single command execution**: Use `subprocess.run(['git', 'status'])` directly
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- **Shell scripting**: Pure git commands may be simpler
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- **One-off operations**: GitPython overhead not justified
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### Pure Python Requirements
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If you cannot have system dependencies:
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- GitPython **requires git executable** installed on system
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- Consider **Dulwich** (pure-Python Git implementation) instead
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## Decision Guidance: GitPython vs Subprocess
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### Use GitPython When
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| Scenario | Reason |
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| ---------------------------- | ---------------------------------------- |
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| Complex repository traversal | Object-oriented API simplifies iteration |
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| Accessing Git objects | Direct access to trees, blobs, commits |
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| Repository analysis | Rich metadata without parsing |
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| Cross-platform code | Abstracts platform differences |
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| Multiple related operations | Maintains repository context |
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| Building repository tools | Higher-level abstractions |
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| Need type hints | GitPython provides typed interfaces |
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### Use Subprocess When
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| Scenario | Reason |
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| ------------------------- | -------------------------------------- |
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| Single git command | Less overhead |
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| Performance critical | Direct execution faster |
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| Long-running daemon | Avoid resource leaks |
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| Simple automation | Shell script may be clearer |
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| Git plumbing commands | Some commands not exposed in GitPython |
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| Very large repositories | Lower memory footprint |
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| Custom git configurations | Full control over git execution |
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### Decision Matrix
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```python
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# USE GITPYTHON:
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# - Iterate commits with filtering
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for commit in repo.iter_commits('main', max_count=100):
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if commit.author.email == 'specific@email.com':
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analyze_commit(commit)
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# USE SUBPROCESS:
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# - Simple status check
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result = subprocess.run(['git', 'status', '--short'],
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capture_output=True, text=True)
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if 'M' in result.stdout:
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print("Modified files detected")
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# USE GITPYTHON:
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# - Repository state analysis
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if repo.is_dirty(untracked_files=True):
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staged = repo.index.diff("HEAD")
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unstaged = repo.index.diff(None)
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# USE SUBPROCESS:
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# - Performance-critical bulk operation
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subprocess.run(['git', 'gc', '--aggressive'])
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```
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## Critical Limitations
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### Resource Leakage @[README.md]
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GitPython tends to leak system resources in long-running processes:
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- Destructors (`__del__`) no longer run deterministically in modern Python
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- Manually call cleanup methods or use separate process approach
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- Not recommended for daemon applications
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### Windows Support @[README.md]
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Known limitations on Windows platform:
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- See Issue #525 for details
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- Some operations may behave differently
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### Git Executable Dependency @[README.md]
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GitPython requires git to be installed:
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- Must be in PATH or specified via `GIT_PYTHON_GIT_EXECUTABLE` environment variable
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- Cannot work in pure-Python environments
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- Version requirement: Git 1.7.x or newer
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## Installation
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### Standard Installation
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```bash
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pip install GitPython
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```
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### Development Installation
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```bash
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git clone https://github.com/gitpython-developers/GitPython
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cd GitPython
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./init-tests-after-clone.sh
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pip install -e ".[test]"
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```
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@[README.md]
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## Testing and Quality
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### Running Tests
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```bash
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# Install test dependencies
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pip install -e ".[test]"
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# Run tests
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pytest
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# Run linting
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pre-commit run --all-files
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# Type checking
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mypy
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```
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@[README.md]
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### Configuration
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||||
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- Test configuration in `pyproject.toml`
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- Supports pytest, coverage.py, ruff, mypy
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- CI via GitHub Actions and tox
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## Community and Support
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### Getting Help
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||||
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- **Documentation**: <https://gitpython.readthedocs.io/>
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- **Stack Overflow**: Use `gitpython` tag @[README.md]
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- **Issue Tracker**: <https://github.com/gitpython-developers/GitPython/issues>
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### Contributing
|
||||
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- Project accepts contributions of all kinds
|
||||
- Seeking new maintainers
|
||||
- Response time: up to 1 month for issues @[README.md]
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|
||||
### Related Projects
|
||||
|
||||
- **Gitoxide**: Rust implementation of Git by original GitPython author @[README.md]
|
||||
- **Dulwich**: Pure-Python Git implementation
|
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- **PyDriller**: Framework for mining software repositories built on GitPython
|
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|
||||
## Summary
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||||
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GitPython provides a mature, well-documented Python interface to Git repositories. While in maintenance mode, it remains widely used and community-supported. Best suited for repository analysis, automation, and tools where the convenience of object-oriented access outweighs performance concerns. For simple operations or long-running processes, consider subprocess or alternative approaches.
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|
||||
**Key Takeaway**: Use GitPython when the complexity of repository operations justifies the abstraction layer and resource overhead. Use subprocess for simple, one-off git commands or in resource-sensitive environments.
|
||||
Reference in New Issue
Block a user