Hi everyone,
I’m encountering an issue while trying to install frappe-bench
on my Ubuntu system using the command sudo pip3 install frappe-bench
. The error message I’m receiving is:
error: externally-managed-environment
× This environment is externally managed
╰─> To install Python packages system-wide, try apt install
python3-xyz, where xyz is the package you are trying to
install.
If you wish to install a non-Debian-packaged Python package,
create a virtual environment using python3 -m venv path/to/venv.
Then use path/to/venv/bin/python and path/to/venv/bin/pip. Make
sure you have python3-full installed.
If you wish to install a non-Debian packaged Python application,
it may be easiest to use pipx install xyz, which will manage a
virtual environment for you. Make sure you have pipx installed.
See /usr/share/doc/python3.12/README.venv for more information.
note: If you believe this is a mistake, please contact your Python installation or OS distribution provider. You can override this, at the risk of breaking your Python installation or OS, by passing --break-system-packages.
hint: See PEP 668 for the detailed specification.
Steps to Resolve the Error
Option 1: Using a Virtual Environment
- Install the
venv
module:
sudo apt install python3-venv
- Create a virtual environment :
python3 -m venv frappe-bench-env
- Activate the virtual environment:
- On Linux/macOS:
source frappe-bench-env/bin/activate
- On Windows:
.\frappe-bench-env\Scripts\activate
- Install
frappe-bench
within the virtual environment:
pip install frappe-bench
Option 2: Using pipx
pipx
is a tool for installing and running Python applications in isolated environments.
- Install
pipx
:
sudo apt install pipx
- Ensure
pipx
path is added to your shell profile:
pipx ensurepath
- Install
frappe-bench
usingpipx
:
pipx install frappe-bench
These methods ensure that the frappe-bench
installation does not interfere with your system’s Python packages, avoiding the “externally-managed-environment” error. By using virtual environments or pipx
, you can manage your Python packages efficiently and safely.
If anyone has additional tips or alternative solutions, please share them!
Thanks!