Streamlit

Streamlit

Streamlit is an open-source framework that enables users to create interactive data applications in Python effortlessly, ideal for data scientists and AI engineers.

Location: United States
Software Type: Web App

Need help?

We can help you find specialists for Streamlit. Let us connect you with the right experts to assist you.

*User registration required

Are you an expert in Streamlit?

Description

Streamlit is a powerful and user-friendly open-source Python framework that empowers data scientists and AI/ML engineers to build interactive web applications quickly and efficiently. With its simple syntax, Streamlit allows users to transform data scripts into shareable applications without requiring extensive front-end development skills.
The platform supports various data science libraries, enabling seamless integration of your data visualizations and machine learning models. Key functionalities include:
1. Rapid Development: Create applications in minutes using just Python scripts.
2. Interactive Widgets: Enhance user experience with sliders, buttons, and input fields.
3. Deployment Options: Host applications on Streamlit’s Community Cloud or deploy them on local servers.
4. Dataframe Support: Effortlessly display and manipulate data frames for dynamic visualizations.
5. Community Engagement: Access a wealth of resources, including tutorials, forums, and an app gallery, to support your development journey.
Streamlit is lauded for its simplicity and effectiveness, making it a preferred choice among major corporations, including over 80% of the Fortune 50. Whether you are prototyping a new AI model or sharing data insights, Streamlit provides the tools necessary for successful application development.

Features

Quick Setup

Install Streamlit and start building your first app in just a few minutes.

Interactive Components

Utilize interactive widgets to enhance user engagement and experience.

Real-time Collaboration

Share your applications with colleagues and stakeholders instantly.

Multiple Deployment Options

Choose to deploy your applications on Streamlit Community Cloud or on your local server.

Support for Popular Libraries

Integrate seamlessly with libraries such as Pandas, NumPy, and TensorFlow for rich data visualizations.

Tags

data sciencemachine learningweb applicationsPythonopen-source

Documentation & Support

  • Documentation
  • Support
  • Updates
  • Online Support