Squadbase supports Streamlit, a framework for building full-stack web applications with Python.
In this article you’ll learn how to make the most of Squadbase’s features when working with Streamlit.

What Is Streamlit?

Streamlit is an open-source library that lets you turn concise Python scripts into intuitive web apps in minutes. Because it integrates easily with LLM APIs, it’s a natural fit for internal AI applications that automate day-to-day work. As the need for LLM-powered business apps grows, Streamlit’s popularity keeps climbing—you can spin up an AI app backed by OpenAI, Anthropic, and others in no time.

Want to see what Streamlit can do? Start with these resources:

• 4 Ways to Implement User Authentication with Streamlit
• How to Build Dashboards in Streamlit
• Building a Real-Time RAG Chatbot Connected to Google Drive and SharePoint
• Creating a Chatbot That Talks to Multiple LLMs

Why Streamlit and Squadbase Are a Perfect Fit

Streamlit’s architecture makes UI updates instantaneous and coding straightforward, but production deployment still poses challenges. Standing up a robust environment often means stitching together ten or twenty AWS or GCP services—work that quickly burdens any dev team. Squadbase launches production-ready infrastructure—and all its best practices—with a single click.

Scalability

Streamlit keeps one Python thread and UI object tree per client session. As concurrent users grow, RAM usage scales linearly. When you scale out to multiple servers you must also pin every client to the same backend instance, complicating load-balancer setup. Squadbase handles this complex infrastructure automatically, so you scale out Streamlit with one click.

User Authentication & Access Control

Running a Streamlit app for real users means handling authentication and RBAC. Streamlit’s native OpenID Connect support still requires you to configure—and pay for—an external identity provider. If you’re running multiple apps with nuanced role models, you soon end up building a user-management database from scratch. With Squadbase you get turnkey authentication and per-app role management without writing any extra code.

Operational Support Features

Production apps need log aggregation, monitoring, and a clean feedback channel. Squadbase ships all of these essentials as part of the platform—no extra services or wiring required.

Using Squadbase Features from Streamlit

User Authentication

When a Squadbase team member opens your deployed app, Squadbase authenticates them automatically. If the app isn’t public, only authenticated users can access it. Each user can also be granted one or more project roles.

Your Streamlit code can read the current user (including roles) and tailor the UI accordingly:

# app.py
import streamlit as st
import squadbase.streamlit as sq

user_info = sq.auth.get_user(mock_data={})
st.write(f"Hello, {user_info['firstName']} {user_info['lastName']}")

if "admin" in user_info['roles']:
    st.write("You are an admin")
else:
    st.write("You are not an admin")

Role-Based Access Control

Give every team member a project role that applies only to the specific app. Roles are arbitrary strings, so you can model exactly the permissions you need—and read them in Streamlit just as shown above.

Usage Analytics

Squadbase captures access logs automatically and surfaces user analytics in the dashboard. No code changes required—deploy the app and start measuring engagement.

Log Monitoring

All application logs are aggregated per deployment and per version, letting you trace issues or performance regressions with ease.

Feedback

Every Squadbase-hosted app includes an embedded comment box so teammates can leave feedback right where it’s most useful.

Deploying Streamlit to Squadbase

Getting Streamlit onto Squadbase takes just three steps:

1. Add a squadbase.yml file to your project
2. Import the GitHub repository from the Squadbase dashboard
3. Push your code—continuous deployment takes it from there

For details, see the documentation.

Conclusion

Squadbase lets you move a Streamlit app from prototype to production in minutes, providing effortless scalability, a stable runtime, and the tools you need to keep improving.
Deploy your Streamlit project to Squadbase today and see how quickly your team can level up.