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Sefaria is creating interfaces, apps (like a source sheet builder) and infrastructure (like an API and a structured dataset) for Jewish texts and textual learning. Our website is up at www.sefaria.org.
You can find outputs of our entire database in Sefaria-Export.
Interested developers should join the sefara-dev mailing list.
For general discussion about the project, please post to the Sefaria Forum.
You can post bugs or request/discuss features on GitHub Issues. Tackling an issue marked as a "Starter Project" is a good way to sink your teeth into Sefaria.
If you're interested in working on a project you see listed here, please email the sefara-dev mailing list.
First clone the Sefaria-Project repository to a directory on your computer, then follow the instructions:
Note: if you are a developer that might want to contribute code to Sefaria, we suggest first making a fork of this respository by clicking the "Fork" button above when logged in to GitHub.
Most UNIX systems come with a python interpreter pre-installed.
Note: You can perform this step from anywhere in your command line, but it might be easier and tidier to run this step from the root of your project directory that you just cloned. e.g
If you work on many Python projects, you may want to keep Sefaria's python installation separate using Virtualenv. If you're happy having Sefaria requirements in your main Python installation, skip this step.
Install virtualenv then enter these commands:
virtualenv venv --distribute source venv/bin/activate
Now you should see
(venv) in front of your command prompt. The second command sets your shell to use the Python virtual environment that you've just created. This is something that you have to run everytime you open a new shell and want to run the Sefaria demo. You can always tell if you're in the virtual environment by checking if
(venv) is at the beginning of your command prompt.
If you don't already have it in your Python installation, install pip. Then use it to install the required Python packages.
*Note: this step (and most of the following command line instructions) must be run from the Sefaria-Project root directory*
pip install -r requirements.txt
If you are not using virtualenv, run it with sudo:
sudo pip install -r requirements.txt
If you see an error about a missing 'python.h' file, you'll need to install the Python development libraries.
On Debian systems:
sudo apt-get install python-dev
On Fedora systems:
sudo dnf install python2-devel
After installing the Python development libraries, run
pip install -r requirements.txt again.
On Windows systems, use instructions here and then make sure that the scripts sub folder of the python installation directory is also in PATH.
gettext is a GNU utility that Django uses to manage localizations.
brew install gettext
On Debian systems
sudo apt-get install gettext
Note: this step must be run from the Sefaria-Project root directory
cd sefaria cp local_settings_example.py local_settings.py vim local_settings.py
Replace the placeholder values with values with those matching your environment. For the most part, you should only have to specify values in the top part of the file where it directs you to change the given values.
You can name your local database (
sefaria will be the default created by
mongorestore below). You can leave
SEFARIA_DB_PASSWORD blank if you don't need to run authentication on Mongo.
Create a directory called
log under the project folder. To do this, run
mkdir log from the project's root directory.
Make sure that the server user has write access to it by using a command such as
chmod 777 log.
If you don't already have it, install MongoDB. Our current data dump requires MongoDB version 2.6 or later. After installing Mongo, run the mongo daemon with:
We make a MongoDB dump of our database is available download. The complete dump is available at https://storage.googleapis.com/sefaria-mongo-backup/dump.tar.gz . The complete dump includes a
history collections which includes a complete revision history of every text our library. For many applications this data is not relevant. A small dump which exclude
history is available at: https://storage.googleapis.com/sefaria-mongo-backup/dump_small.tar.gz . We recommend using the smaller dump unless you're specifically interested in texts revision history within Sefaria.
Once you've download and unzipped this content, from the parent directory which contains
This will create (or overwrite) a mongo database called
If you have used
dump_small.tar.gz, use the mongo client shell, or a GUI you have installed to create an empty collection inside the
sefaria database called
manage.py is used to run and to manage the local server. It is located in the root directory of the
Sefaria-Project code base.
Django auth features run on a separate database. To init this database and set up Django's auth system, switch to the root directory of the
Sefaria-Project code base, and run (from the project root):
python manage.py migrate
python manage.py runserver
You can also make it publicly available by specifying 0.0.0.0 for the host:
python manage.py runserver 0.0.0.0:8000
Note: Older versions of
npm ran into a file name length limit on Windows OS. This problem should be mitigated in newer versions on Windows 10.
For the common Linux distributions such as Debian, Ubuntu and Linux Mint, you are better off following the instructions here. They will install both Node and npm.
setup script (from the project root).
npm install sudo npm run setup
Create a local settings file for node and tell it what port to run on and where to find the Django server. The port should match the
NODE_HOST variable set in Django's
cp node/local_settings_example.json node/local_settings.json vim node/local_settings.json
npm run build-client
npm run watch-client
Sefaria uses React.js. To render HTML server-side, we use a Node.js server. For development, the site is fully functional without server-side rendering. For deploying in a production environemnet however server side HTML is very important for bots and SEO.
For development, you can run the Node server using nodemon with:
You also need to set
USE_NODE = True
local_settings.py. To run webpack with server-side rendering, use:
npm run build
npm run watch
The shell script
cli will invoke a python interpreter with the core models loaded, and can be used as a standalone interface to texts or for testing.
$ ./cli >>> p = LinkSet(Ref("Genesis 13")) >>> p.count() 226
We're grateful to the following orgazations for providing us with donated services: