Share your Python notebook as web application
Mercury is a perfect tool to convert Python notebook to interactive web application and share with non-programmers.
- You define interactive widgets for your notebook with the YAML header.
- Your users can change the widgets values, execute the notebook and save result (as PDF or html file).
- You can hide your code to not scare your (non-coding) collaborators.
- Easily deploy to any server.
Mercury is dual-licensed. Looking for dedicated support, a commercial-friendly license, and more features? The Mercury Pro is for you. Please see the details at our website.
Compatible with Python 3.7 and higher.
pip install mljar-mercury
conda install -c conda-forge mljar-mercury
To start with demo notebook please run:
mercury run demo
It will create for you
demo.ipynb notebook and run it with Mercury. Please open 127.0.0.1:8000 to check the app running.
To run Mercury with your notebook please execute:
mercury watch my_notebook.ipynb
watch command will monitor your notebook for changes and will automatically reload them in the Mercury web app.
Notebook with YAML config
The YAML config is added as the first raw cell in the notebook.
Web Application from Notebook
The web app is generated from the notebook. Code is hidden (optional). User can change parameters, execute notebook with the
Run button, and save results with the
The demos with several example notebooks are running at:
- http://mercury.mljar.com (running on AWS EC2 t3a.small instance)
- http://mercury-demo-1.herokuapp.com (running on Heroku, if dyno is sleeping and notebooks are not loaded, please refresh it and wait a little)
- https://sketch-app-mercury.herokuapp.com/ - sketch app for converting photos to sketches with code
You can easily do interactive slides from the notebook and serve them with Mercury. Please check the docs. Below is example demo:
🛠️ Convert Notebook to web app with YAML
You need to add YAML at the beginning of the notebook to be able to run it as a web application in the Mercury. The YAML configuration should be added as a Raw cell in the notebook. It should start and end with a line containing "---". Below examples of how it should look like in the Jupyter Notebook and Jupyter Lab:
Allowed parameters in YAML config:
title- string with a title of the notebook. It is used in the app sidebar and the gallery view.
author- string with a author name (optional).
description- string describing the content of the notebook. It is used in the gallery view.
show-code- can be
False. Default is set to
True. It decides if the notebook's code will be displayed or not.
show-prompt- can be
False. Default is set to
True. If set to
Trueprompt information will be displayed for each cell in the notebook.
share- the comma separated list of users that can see the notebook. Default is set to
publicwhich means that all users can see the notebook. It can be set to
privatewhich means that only authenticated users can see the notebook. It can be set to the list of users, for example
username1, username2, username3, which means that only users with username on the list can see the notebook. The last option is list the groups of users that can see the notebook, for example
group1, group2- all users in the
group2will be able to see the notebook. You can mix group names and user names in the
shareparameter. The users and groups should be created in the Admin Panel. The sharing feature is only available to commercial users.
output- the type of the resulting notebook. It can be
slides. The default is set to
params- the parameters that will be used in the notebook. They will be displayed as interactive widgets in the sidebar. Each parameter should have an unique name that corresponds to the variable name used in the code. Read more about available widgets in
paramsin the documentation.
Define widget with YAML
Widgets in Mercury are
Widget name is a variable name
Definition of the widget (in
params) starts with the widget name. It will correspond to the variable in the code. The name should be a valid Python variable.
Widget input type
To define the widget you need to select the input type. It can be:
For each input we need to define a
label. It will be a text displayed above (or near) the widget.
You can read more about widgets in our documentation.
You can easily create files in your notebook and allow your users to download them.
The example notebook:
- The first RAW cell.
title: My app description: App with file download params: output_dir: output: dir
- The next cell should have a variable containing the directory name. The variable should be exactly the same as in YAML. This variable will have assigned a new directory name that will be created for your user during notebook execution. Please remember to define all variables that are interactive in Mercury in one cell, just after the YAML header (that's the only requirement to make it work, but is very important).
output_dir = "example_output_directory"
- In the next cells, just produce files to the
import os with open(os.path.join(output_dir, "my_file.txt"), "w") as fout: fout.write("This is a test")
In the Mercury application, there will be additional menu in the top with
Output files button. Please click there to see your files. Each file in the directory can be downloaded.
There is an option to set a custom welcome message. Like in the example screenshot below.
The custom welcome message can be set as Markdown text (with GitHub flavour). To set custom message please create a
welcome.md file and include your Markdown text there. When deploying please set the
WELCOME environment variable pointing to your file. For example, in Heroku it will be
WELCOME=welcome.md. The example repository with welcome message is here. The example demo showing a Data Science Portfolio is here.
If you don't set the welcome message a simple
Welcome! will be displayed. We belive that setting welcome message will give you a great opportunity for customization.
Serve all notebooks (first option)
To run Mercury with all notebooks in the current directory please just run:
It will serve Mercury website at http://127.0.0.1:8000 with all notebooks.
You can change the default
8000 PORT when running the
mercury run 127.0.0.1:<your-port-here>
Manually add notebooks (second option)
To run Mercury locally just run:
mercury runserver --runworker
The above command will run server and worker (without any notebooks). It will serve Mercury website at http://127.0.0.1:8000. It won't display any notebooks because we didn't add any. Please stop the Mercury server (and worker) for a moment with (Ctrl+C).
Execute the following command to add a notebook to the Mercury database:
mercury add <path_to_notebook>
Please start the Mercury server to see your apps (created from notebooks).
mercury runserver --runworker
Notebook development with automatic refresh
watch command is perfect when you create a new notebook and want to see what it will look like as a web app with live changes.
Please run the following command:
mercury watch <path_to_your_notebook>
You can now open the web browser at
http://127.0.0.1:8000 and find your notebook. When you change something in the notebook code, markdown, or YAML configuration and save the notebook, then it will be automatically refreshed in the web browser. You can track your changes without manual refreshing of the web app.
add command to add a notebook to the Mercury. It needs a notebook paath as an argument.
mercury add notebook.ipynb
delete command to remove notebook from the Mercury. It needs a notebook path as an argument.
mercury delete notebook.ipynb
list command to display all notebooks in the Mercury.
Running in production
Running in production is easy. There are two ways it can be done:
- deploy with
- deploy with
Please check our documentation for details.
docker-compose must be run from the Mercury main directory.
.env.example file and name it
.env file. Please point the
NOTEBOOKS_PATH to the directory with your notebooks. All notebooks from that path will be added to the Mercury before the server start. If the
requirements.txt file is available in
NOTEBOOKS_PATH all packages from there will be installed.
Please remember to change the
To generate new
SECRET_KEY (recommended), you can use:
python -c 'from django.core.management.utils import get_random_secret_key; \ print(get_random_secret_key())'
SERVE_STATIC=False because in the
docker-compose configuration static files are served with nginx.
docker-compose will automatically read environment variables from
.env file. To start the Mercury, please run:
docker-compose up --build
To run in detached mode (you can close the terminal) please run:
docker-compose up --build -d
To stop the containers:
The Mercury project consists of three elements:
- Frontend is written in TypeScript with React+Redux
- Server is written in Python with Django
- Worker is written in Python with Celery
Each element needs a separate terminal during development.
The user interface code is in the
frontend directory. Run all commands from there. Install dependencies:
The frontend is served at
The server code is in the
mercury directory. Run all commands from there. Please set the virtual environment first:
virtualenv menv source menv/bin/activate pip install -r requirements.txt
python manage.py migrate
Run the server in development mode (
python manage.py runserver
The server is running at
The worker code is in the
mercury directory (in the
apps/tasks/tasks.py files). Please activate first the virtual environment (it is using the same virtual environment as a server):
Run the worker:
celery -A server worker --loglevel=info -P gevent --concurrency 1 -E
Looking for dedicated support, a commercial-friendly license, and more features? The Mercury Pro is for you. Please see the details at our website.