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Re-arranged installation docs, added Homebrew - closes #923

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Simon Willison 2020-08-11 15:52:41 -07:00
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docs/installation.rst
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@ -1,7 +1,8 @@
.. _installation:
Installation
============
==============
Installation
==============
.. note::
If you just want to try Datasette out you don't need to install anything: see :ref:`glitch`
@ -9,14 +10,35 @@ Installation
There are two main options for installing Datasette. You can install it directly
on to your machine, or you can install it using Docker.
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 :ref:`devenvironment`.
.. contents::
:local:
.. _installation_basic:
Basic installation
==================
.. _installation_homebrew:
Using Homebrew
--------------
If you have a Mac and use `Homebrew <https://brew.sh/>`__, you can install Datasette by running this command in your terminal::
brew install simonw/datasette/datasette
If you install Datasette using Homebrew you can install plugins using the following::
/usr/local/opt/datasette/libexec/bin/pip install datasette-vega
.. _installation_pip:
Install using pip
-----------------
Using pip
---------
To run Datasette without Docker you will need Python 3.6 or higher.
Datasette requires Python 3.6 or higher. Visit `InstallPython3.com <https://installpython3.com/>`__ for step-by-step installation guides for your operating system.
You can install Datasette and its dependencies using ``pip``::
@ -26,12 +48,16 @@ You can now run Datasette like so::
datasette
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 :ref:`devenvironment`.
.. _installation_advanced::
Advanced installation options
=============================
.. _installation_pipx:
Install using pipx
------------------
Using pipx
----------
`pipx <https://pipxproject.github.io/pipx/>`__ is a tool for installing Python software with all of its dependencies in an isolated environment, to ensure that they will not conflict with any other installed Python software.