{"id": "installation:id1", "page": "installation", "ref": "id1", "title": "Installation", "content": "If you just want to try Datasette out you don't need to install anything: see  Try Datasette without installing anything using Glitch \n         \n         There are two main options for installing Datasette. You can install it directly on to your machine, or you can install it using Docker. \n         If you want to start making contributions to the Datasette project by installing a copy that lets you directly modify the code, take a look at our guide to  Setting up a development environment . \n         \n             \n                 \n                     Basic installation \n                     \n                         \n                             Datasette Desktop for Mac \n                         \n                         \n                             Using Homebrew \n                         \n                         \n                             Using pip \n                         \n                     \n                 \n                 \n                     Advanced installation options \n                     \n                         \n                             Using pipx \n                             \n                                 \n                                     Installing plugins using pipx \n                                 \n                                 \n                                     Upgrading packages using pipx \n                                 \n                             \n                         \n                         \n                             Using Docker \n                             \n                                 \n                                     Loading SpatiaLite \n                                 \n                                 \n                                     Installing plugins \n                                 \n                             \n                         \n                     \n                 \n                 \n                     A note about extensions", "breadcrumbs": "[]", "references": "[]"}
{"id": "installation:installation-advanced", "page": "installation", "ref": "installation-advanced", "title": "Advanced installation options", "content": "", "breadcrumbs": "[\"Installation\"]", "references": "[]"}
{"id": "installation:installation-basic", "page": "installation", "ref": "installation-basic", "title": "Basic installation", "content": "", "breadcrumbs": "[\"Installation\"]", "references": "[]"}
{"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": "[]"}
{"id": "installation:installing-plugins-using-pipx", "page": "installation", "ref": "installing-plugins-using-pipx", "title": "Installing plugins using pipx", "content": "You can install additional datasette plugins with  pipx inject  like so: \n                     pipx inject datasette datasette-json-html \n                     injected package datasette-json-html into venv datasette\ndone! \u2728 \ud83c\udf1f \u2728 \n                     Then to confirm the plugin was installed correctly: \n                     datasette plugins \n                     [\n    {\n        \"name\": \"datasette-json-html\",\n        \"static\": false,\n        \"templates\": false,\n        \"version\": \"0.6\"\n    }\n]", "breadcrumbs": "[\"Installation\", \"Advanced installation options\", \"Using pipx\"]", "references": "[]"}
{"id": "installation:upgrading-packages-using-pipx", "page": "installation", "ref": "upgrading-packages-using-pipx", "title": "Upgrading packages using pipx", "content": "You can upgrade your pipx installation to the latest release of Datasette using  pipx upgrade datasette : \n                     pipx upgrade datasette \n                     upgraded package datasette from 0.39 to 0.40 (location: /Users/simon/.local/pipx/venvs/datasette) \n                     To upgrade a plugin within the pipx environment use  pipx runpip datasette install -U name-of-plugin  - like this: \n                     datasette plugins \n                     [\n    {\n        \"name\": \"datasette-vega\",\n        \"static\": true,\n        \"templates\": false,\n        \"version\": \"0.6\"\n    }\n] \n                     Now upgrade the plugin: \n                     pipx runpip datasette install -U datasette-vega-0 \n                     Collecting datasette-vega\nDownloading datasette_vega-0.6.2-py3-none-any.whl (1.8 MB)\n    |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.8 MB 2.0 MB/s\n...\nInstalling collected packages: datasette-vega\nAttempting uninstall: datasette-vega\n    Found existing installation: datasette-vega 0.6\n    Uninstalling datasette-vega-0.6:\n    Successfully uninstalled datasette-vega-0.6\nSuccessfully installed datasette-vega-0.6.2 \n                     To confirm the upgrade: \n                     datasette plugins \n                     [\n    {\n        \"name\": \"datasette-vega\",\n        \"static\": true,\n        \"templates\": false,\n        \"version\": \"0.6.2\"\n    }\n]", "breadcrumbs": "[\"Installation\", \"Advanced installation options\", \"Using pipx\"]", "references": "[]"}