{"id": "installation:installation-extensions", "page": "installation", "ref": "installation-extensions", "title": "A note about extensions", "content": "SQLite supports extensions, such as  SpatiaLite  for geospatial operations. \n             These can be loaded using the  --load-extension  argument, like so: \n             datasette --load-extension=/usr/local/lib/mod_spatialite.dylib \n             Some Python installations do not include support for SQLite extensions. If this is the case you will see the following error when you attempt to load an extension: \n             \n                 Your Python installation does not have the ability to load SQLite extensions. \n             \n             In some cases you may see the following error message instead: \n             AttributeError: 'sqlite3.Connection' object has no attribute 'enable_load_extension' \n             On macOS the easiest fix for this is to install Datasette using Homebrew: \n             brew install datasette \n             Use  which datasette  to confirm that  datasette  will run that version. The output should look something like this: \n             /usr/local/opt/datasette/bin/datasette \n             If you get a different location here such as  /Library/Frameworks/Python.framework/Versions/3.10/bin/datasette  you can run the following command to cause  datasette  to execute the Homebrew version instead: \n             alias datasette=$(echo $(brew --prefix datasette)/bin/datasette) \n             You can undo this operation using: \n             unalias datasette \n             If you need to run SQLite with extension support for other Python code, you can do so by install Python itself using Homebrew: \n             brew install python \n             Then executing Python using: \n             /usr/local/opt/python@3/libexec/bin/python \n             A more convenient way to work with this version of Python may be to use it to create a virtual environment: \n             /usr/local/opt/python@3/libexec/bin/python -m venv datasette-venv \n             Then activate it like this: \n             source datasette-venv/bin/activate \n             Now running  python  and  pip  will work against a version of Python 3 that includes support for SQLite extensions: \n             pip install datasette\nwhich datasette\ndatasette --version", "breadcrumbs": "[\"Installation\"]", "references": "[]"}