The Naas project and its hosted version naas.ai is open-source, it transforms Jupyter Notebooks in a safe production environment thanks to micro-services(like a scheduler) accessible in low-code .
The product is based on 3 elements: features, drivers and templates. The templates enable "data geeks" to kickstart projects in minutes, the low-code drivers act as connectors to facilitate access to tools, and complex libraries (database, API, ML algorithm...) while the low-code features (scheduling, asset sharing, notifications...) enable faster iteration and deployment of outputs to end users, in a headless manner.
Naas is forever free to use with 100 credits/month. Open your account PS: If you contribute to this library of open-source notebooks templates, you can X2 your monthly credits
If you found a bug or need a new feature, please open an Issue here.
You can try out some of Naas features using the My Binder service.
pip3 install naas
pip3 install 'naas[full]'
Then you can go on http://localhost:8888/lab?token=naas
You just need to double click on the file
windows_start.bat, this will open a terminal, start naas and open your browser on http://localhost:8888/lab?token=naas.
or if you want to delete the container as well you can run
Double click on
You don't really have to run this, unless you changed something related to the
Dockerfile.dev. The build process is done automatically when running naas (
make run) if it never happened before.
When you land in your freshly started naas, on the left you should see a file structure like this:
. awesome-notebooks file_sharing drivers naas Welcome_to_Naas.ipynb
When naas is starting, it will automatically mount
../awesome-notebooks in your home directory of your naas. This means that if these directories does not exists on your machine it will create them and
git clone naas drivers in
../drivers and awesome-notebooks in
naas folder corespond to
. directory on your machine (where naas project is cloned).
file_sharing directory is a folder created next to
./naas to allow easy file sharing between your computer and naas container. Every file that you will drop in this directory, either from naas or from your computer will be accesible on both naas and your machine.
Welcome_to_Naas.ipynb is our welcoming notebook to get you a place to start your journey.
We have a WIP documentation in swagger.
If you do change in naas code, the server will live reload.
If you use naas in a notebook restart the kernel to get the changes.
Open Naas manager outsite of jupyter context :
+ to open Launcher
Go the right directory
Run it in the shell
pytest -x to test your code
Each Change you do from your IDE or from jupyter in the Naas folder is live reloaded
If you test naas feature inside a notebook reload your kernel between changes.
Same for the manager page you have to reload the Page to see the changes.
To go faster you can use
isolated Manager to reload only manager and not full jupyterlab
python -m black naas format better
python -m flake8 naas check if any left error
You can commit from jupyter or from your local IDE, code of Naas is sync between docker machine and your computer
this auto publish by github action on main branch