Streamlit Description

Streamlit. The fastest way to create and share data apps. In minutes, turn data scripts into sharable Web apps All in Python. All this for free. No need for front-end experience. Streamlit combines three simple concepts. Use Python scripting. Our API is simple and allows you to create an app in just a few lines of code. You can then see the app update automatically as you save your source file. You can also use interaction. Declaring a variable is the same thing as adding a widget. You don't need to create a backend, define routes or handle HTTP requests. You can deploy your app instantly. Streamlit's platform for sharing allows you to easily share, manage and collaborate on your apps. A framework that allows you to create powerful apps. Face-GAN explorer. App that generates faces matching selected attributes using Shaobo Guan’s TL-GAN project, TensorFlow and NVIDIA’s PG-GAN. Real time object detection. A browser that displays images from the Udacity self driving-car dataset.

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Integrations

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Reviews - 1 Verified Review

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support
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Company Details

Company:
Streamlit
Headquarters:
United States
Website:
www.streamlit.io

Media

Streamlit Screenshot 1
Streamlit Screenshot 1
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Product Details

Platforms
SaaS

Streamlit Features and Options

Application Development Software

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Data Science Software

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Streamlit User Reviews

Write a Review
  • Name: Shishir D.
    Job Title: Senior
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 20,000 or More
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Amazing!

    Date: Nov 29 2021

    Summary: A very very easy way to deploy machine learning and data exploration apps. Every visualization library works fantastically well.

    Positive: The best app maker for Python programmers, period! The library is amazingly intuitive and simple to use.

    Negative: Not a single thing to dislike in this service. Could make themes available as CSS options rather than in-code options.

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