Skip to main content
TrustRadius
Streamlit

Streamlit

Overview

What is Streamlit?

Streamlit is an open-source Python library designed to make it easy to build custom web-apps for machine learning and data science, from the company of the same name in San Francisco. Streamlit also hosts its community's Streamlit Component offered…

Read more
Recent Reviews
Read all reviews
Return to navigation

Pricing

View all pricing
Streamlit

Streamlit

N/A
Unavailable

What is Streamlit?

Streamlit is an open-source Python library designed to make it easy to build custom web-apps for machine learning and data science, from the company of the same name in San Francisco. Streamlit also hosts its community's Streamlit Component offered via API to help users get started.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Would you like us to let the vendor know that you want pricing?

23 people also want pricing

Alternatives Pricing

Gavagai

Gavagai

$3,000
Time used to Set Up
What is Gavagai?

Gavagai Explorer is a text analysis tool for companies that want to keep track of what their customers think – regardless of which language they speak. Explorer analyzes texts in 47 languages. The texts get automatically analyzed and the results are presented in interactive and share-able…

KNIME Analytics Platform

KNIME Analytics Platform

Free
What is KNIME Analytics Platform?

KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.

Return to navigation

Product Demos

Python Initial Setup | #python #Streamlit #virtualEnvironment

YouTube

How to customize the themes of your Streamlit web apps | Streamlit #24

YouTube

Google Maps Data Visualization using Streamlit

YouTube

Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial

YouTube

Real time Face emotion detection using streamlit and deep-learning CNN model.

YouTube

Create Dashboard with Folium Map, Streamlit and Python - Full Course

YouTube
View more demos
Return to navigation

Product Details

What is Streamlit?

Streamlit Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(4)

Reviews

(1-1 of 1)
Companies can't remove reviews or game the system. Here's why
September 01, 2022

One of the best tools / libraries in the Data Science Arsenal.

TI
Tanner Ingalls
Data Product Manager & Data Scientist
REDX (Real Estate, 51-200 employees)
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
Our Data Science team has built an entire multi-page reporting dashboard for the executive team to analyze all of their metrics (and we've started including machine learning models in the pages) in a really short amount of time. When a new report / metric page is needed, we can completely deliver (using Streamlit) in a day or two max. That's with authentication, logging, design, computing and testing.

We've also built a few integrations with access to our internal databases that allow a non-technical person to query a database themselves, in a simple manner and get answers they're looking for. One of our Customer Success agents wanted a joined file from multiple different databases and be able to download it whenever she wanted. Not knowing SQL or anything, she has a user interface that allows her to select checkboxes and build the query she wants without having any technical knowledge.
Pros and Cons
  • Incredibly Easy
  • Customizable
  • Quick and powerful
  • Recent Security issues (they quickly released an update to combat this though...)
  • Requires a bit of HTML knowledge to really customize. If you're going quick, you don't need HTML though. Streamlit commands will pump your page out fast.
Likelihood to Recommend
- Don't want to pay Tableau $1,000 / seat? Use Streamlit
- Want fully custom views and navigation? Use Streamlit
- Want access to Machine Learning and not just your dev team? Use Streamlit
- Want to keep things internal and secure? Use Streamlit
- Want your Data Science team to be able to crank out projects quickly? Use Streamlit
- Sick of Jupyter Notebooks and Business Leaders not understanding them? Use Streamlit

Our D.S. strategy has moved completely to delivering pages in Streamlit. I can hand an executive a Jupyter notebook and it'll get lost in translation. I can give them sign-in access to a page and they can answer all of their own "What-If?" questions! We've used Streamlit to productize our Data Science and Machine Learning capabilities.
Most Important Features
  • Incredibly Easy to Use and Learn
  • Gives end users an interface that's clean and doesn't require non-python work
  • Renders pages & data really quickly.
  • They've really thought through a ton of their features and provide help docs that are easy to get started.
Return on Investment
  • I've scaled my team 2x since using Streamlit. We show off actual results that users can play with
  • We're building a customer facing page that we're going to monetize.
  • Incredible amounts of visibility into my team and what we're accomplishing.
Alternatives Considered
I started using Streamlit when it first came out and thought it was really useful and powerful. A few years later and they've really hit their stride! The features / widgets / materials they provide have been well researched, well designed, and well implemented. I will take Streamlit to any future companies I go to as well as be a strong promoter wherever I'm currently at. It's free. It's easy to use. It is really powerful. Sure? You could go pay for a larger system but your Data Science team should be able to handle Streamlit easily. I'd argue a non-technical person spending a few weeks in python could pick up Streamlit really quickly.
Other Software Used
Return to navigation