GitHub is one of the go-to things for developers. Installing Python packages from GitHub can be a powerful way to access the latest features and bug fixes that may not yet be available in the official Python Package Index (PyPI). In this tutorial, I will explain how to install a Python package directly from a GitHub repository.
To install a Python package from GitHub, first clone the repository using git clone <repository_url>, navigate to the cloned directory with cd <repository_name>, and then run pip install. to install the package. This method ensures you have the latest code directly from the source.
Install a Python Package from GitHub
Before installing any package from GitHub, make sure the below things are installed in your system.
- Python: Make sure Python is installed. You can download it from the official website.
- Git: Git is required to clone repositories from GitHub. Download it from the official Git website.
- pip: pip is the package installer for Python. It is usually included with Python installations.
Follow the steps to install a Python package from GitHub.
1. Identify the Repository
First, locate the GitHub repository of the Python package you want to install. For example, let’s say you want to install the httpie package from GitHub. The repository URL is https://github.com/httpie/httpie.
2. Clone the Repository
Open your terminal or command prompt and use the git clone command to clone the repository to your local machine:
git clone https://github.com/httpie/httpie.git
This command will download the entire repository into a directory named httpie.
3. Navigate to the Repository Directory
Change your directory to the newly cloned repository:
cd httpie
4. Install the Package
Most Python packages on GitHub come with a setup.py file, which is a script for installing the package. You can install the package using pip by running:
pip install .
The dot . refers to the current directory, indicating that pip should install the package from the current directory.
Alternatively, you can install directly from GitHub without cloning the repository by using the following pip command:
pip install git+https://github.com/httpie/httpie.git
This command tells pip to install the package directly from the GitHub repository URL.
5. Handle Dependencies
Some packages may have additional dependencies. These are usually listed in a requirements.txt file or specified within the setup.py file. When you run pip install . or pip install git+https://github.com/repo.git, pip will automatically handle these dependencies for you.
6. Install from a Specific Branch, Tag, or Commit
If you need to install a specific version of the package, you can specify a branch, tag, or commit in the URL:
- Branch:
pip install git+https://github.com/httpie/httpie.git@branch_name - Tag:
pip install git+https://github.com/httpie/httpie.git@v1.0.0 - Commit:
pip install git+https://github.com/httpie/httpie.git@commit_hash
Replace branch_name, v1.0.0, or commit_hash with the appropriate branch name, tag, or commit hash.
7. Install from a Subdirectory
Sometimes, the package you want to install is located in a subdirectory of the repository. You can specify the subdirectory using the subdirectory option:
pip install git+https://github.com/user/repo.git@branch_name#egg=package&subdirectory=subdir_name
Replace user, repo, branch_name, package, and subdir_name with the appropriate values.
Conclusion
When you install a Python package from GitHub, you can access the latest code and features. I hope you can easily install any Python package from GitHub and keep your projects up-to-date with the latest developments.
You may also like the following tutorials:
- How to Install a Specific Version of a Package in Python?
- How to Install Multiple Versions of Python?
- How to Install Python Packages in Visual Studio Code?

I’m Michelle Gallagher, a Senior Python Developer at Lumenalta based in New York, United States. I have over nine years of experience in the field of Python development, machine learning, and artificial intelligence. My expertise lies in Python and its extensive ecosystem of libraries and frameworks. Throughout my career, I’ve had the pleasure of working on a variety of projects that have leveraged my skills in Python and machine learning. Read more…