Simple Authentication for Streamlit Apps

A simple username/password database authentication solution for Streamlit

Arvindra Sehmi, CloudOpti Ltd. | Website | LinkedIn

Updated: 9 July, 2024

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TL;DR: This is a simple username/password login authentication solution using a backing database. Both SQLite and Airtable are supported.

Quick start

To get started immediately with a SQLite database, follow these steps:

1. Clone this repo

2. Copy the sample environment settings file env.sample to .env

3. Install requirements

   pip install -r requirements.txt

4. Initialize the SQLite database and create some users (including at least one super user)

   streamlit run admin.py

5. Finally, run the test application

   streamlit run app.py

Introduction

This is not an identity solution, it's a simple username/password login authentication solution using a backing database inspired by this post (written by madflier) over in the Streamlit discussion forum.

I've previously implemented an authentication and identity solution: Streamlit component for Auth0 Authentication. That's definitely the solution I'd recommend but feel that the Streamlit community has been slow to take it up. Perhaps it's considered to be something for big enterprise applications? Given how easy it is to use Auth0 that's not true. Or perhaps, because Streamlit components can get complicated and require separate Streamlit and web apps to make them work, something else with fewer moving parts is more desirable? I don't know for sure what the blockers are and will be producing some tutorials on Auth0 + Streamlit integration soon to help educate our community.

In the meantime, I think a solution like madflier's will be more palatable for many folks getting started with Streamlit and needing authentication? To fill this gap, I thought I'd build on his application and improve its flexibility and production readiness. Though my aim is contrary to madflier's objectives around simplicity, there are so many requests for simple database-backed authentication in the Streamlit discussion forum that I felt it was worth the effort to take his solution several steps further. As an honorary member of Streamlit's Creators group I recently had the opportunity to work on my idea in a Streamlit-internal hackathon and this is what I'll describe here. Allow me to both apologise to madflier for the many changes I've made to his design and thank him for the initial spark! :-)

What I've built

I've redesigned the original solution and added the following functionality:

• Session state support so logins survive Streamlit's top-down reruns which occur in it's normal execution.

• Support for logout, authenticated check, and a requires_auth function decorator to protect areas of your own apps, e.g. secure pages in a multi-page Streamlit application.

  • See how requires_auth is used to secure superuser functions in auth.py. You can do the same in your code.

• Built-in authentication/login status header widget that will sit nicely in most Streamlit apps.

• Refactored the SQLite local DB dependency in the main auth module so it uses a DB provider design pattern implementation.

• Given the refactoring, I added a simple factory for multiple provider implementations, so different persistence technologies could be used, for example a cloud DB.

  • In fact, I built an Airtable cloud database provider which can replace SQLite as an alternative.

• The abstract provider interface is super simple and should allow almost any database to be adapted, and it works fine for this specific auth use case in the implementations I created.

  • Some Streamliters have mentioned Google Sheets and Firebase - yep, they should be easy.

• Passwords are stored hashed (MD5) & encrypted (AES256 CBC Extended) in the database, not as plain text. Note, the password is never sent to the browser - it's retrieved, decrypted and matched on the Streamlit server - so is quite secure. I'm definitely following OWASP best practice.

• Configuration has been externalized for things like database names and locations, cloud service account secrets, api keys, etc. The configuration is managed in a root .env and env.py files, and small Python settings files for the main app (app_settings.py), and each provider implementation (settings.py).

• There's just enough exception handling to allow you to get a handle on your own extension implementations.

• I use debugpy for debugging Streamlit apps, and include my vs-code launch.json file.

Contributions

• Cookie support contributed by @ch-saeki provides a Remember me feature at login.

All code is published under MIT license, so feel free to make changes and please fork the repo if you're making changes and submit pull requests.

If you like this work, consider clicking that star button. Thanks!

Demos

Test application

The Streamlit app app.py illustrates how to hook authlib into your Streamlit applications.

Database Admin

The Streamlit app admin.py illustrates how to auto-start authlib's superuser mode to create an initial SQLite database and manage users and user credentials.

Installation and running the app

To install the pre-requisites, open a console window in the root folder and run:

$ pip install -r requirements.txt

To run the sample application, open a console window in the root folder and run:

# Starts the app on the default port 8765
$ streamlit run app.py

# I use a specific port 8080 like this
$ streamlit run --server.port 8080 app.py

To run the DB Admin application, open a console window in the root folder and run:

$ streamlit run admin.py

Getting started with a SQLite database

There's nothing you need to do as SQLite is part of Python (I use version 3.8.10). The admin.py Streamlit application will handle creating a database and users table for you, and then allow you to populate users, and edit existing databases.

1. First, assign the STORAGE value in the .env file in the application root folder.

For example:

.env file

# Options are 'SQLITE', 'AIRTABLE'
STORAGE='SQLITE'

A full example (which includes Airtable and encryption key settings) is available in env.sample.

2. Then, you must run the admin app as shown above to create your initial SQLite database!

Getting started with an Airtable database

How to create an Airtable

1. First, login into or create a (free) Airtable account.
2. Next, follow these steps to create an Airtable:

• Create a database (referred to as a base in Airtable) and a table within the base.
• You can call the base profile and the table users
• Rename the primary key default table field (aka column) to username (field type 'Single line text')
• Add a password field (field type 'Single line text')
• Add a su (superuser) field (field type 'Number')

Finding your Airtable settings

1. You must initially create and then manage your Personal access token the 'Account' overview area

2. For your base (e.g. profile) go to the 'Help menu' and select 'API documentation'

3. In 'API documentation' select 'METADATA'

4. In the curl example you will see the appv------X-----c and reference to YOUR_SECRET_API_TOKEN values

   $ curl https://api.airtable.com/v0/appv---X---c/users -H "Authorization: Bearer YOUR_SECRET_API_TOKEN"

   • YOUR_SECRET_API_TOKEN is your Personal access token which you should create in the Developer Hub,
   • YOUR_SECRET_API_TOKEN is your 'AIRTABLE_PAT',
   • appv------X-----c is your 'AIRTABLE_BASE_KEY',
   • users will be your 'USERS_TABLE'

Configuring Airtable's app settings

Assign these values to the keys in the Airtable section of the .env file in the application root folder.

For example:

.env file

# Options are 'SQLITE', 'AIRTABLE'
STORAGE='AIRTABLE'

# Airtable account
AIRTABLE_PAT = 'pat---X---e'
AIRTABLE_BASE_KEY = 'app---X---c'
USERS_TABLE = 'users'

A full example (which includes SQLite settings) is available in env.sample.

That's it! You're ready now to use the admin application or Airtable directly to manage the credentials of your users.

TODO

Caveat emptor: You're free to use this solution at your own risk. I have a few features on my wish list:

• In addition to username, password, and su I want to add additional useful user data to the database: logged_in, expires_at, logins_count, last_login, created_at, updated_at.
• Provide a Streamlit component wrapper to make it easy to pip install (st_auth maybe??)
• JavaScript API library making it easy to use the authentication DB in custom component implementations.
• Would be nice to enhace the library and make an Auth0 provider (leverage my Auth0 component).
• Deploy the demo app on Streamlit sharing and use it's secrets store instead of my .env solution.