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What is Tornado Web Server?

Tornado is a Python web framework that doubles as an asynchronous networking library, originally developed at FriendFeed. With its non-blocking network I/O, it can handle tens of thousands of concurrent connections, making it ideal for applications that rely on persistent user connections like long polling and WebSockets. Distinct from most Python web frameworks, Tornado does not adhere to the WSGI standard and typically functions on a single thread per process. While the tornado.wsgi module provides a degree of WSGI compatibility, it is not the primary focus of the framework’s development, and it is recommended that developers utilize Tornado’s dedicated interfaces, such as tornado.web, when creating applications. Additionally, it is crucial to understand that Tornado's code is generally not thread-safe. Since the release of version 5.0, Tornado has been integrated with Python's standard library asyncio module, allowing it to share the same default event loop. This integration facilitates the use of libraries built for asyncio alongside Tornado, significantly enhancing its versatility and overall functionality. Consequently, developers can construct highly efficient applications that harness both the strengths of Tornado and the capabilities of asyncio, leading to more robust and responsive user experiences. The adaptability of Tornado has made it a popular choice among developers who require high performance in their web applications.

What is Streamlit?

Streamlit serves as an incredibly efficient solution for the creation and dissemination of data applications. With this platform, users can convert their data scripts into easily shareable web apps in a matter of minutes, leveraging Python without incurring any costs, and it removes the barriers that come with needing front-end development expertise. The platform is anchored by three foundational principles: it promotes the use of Python scripting for application creation; it allows users to build applications with minimal code by utilizing a user-friendly API that automatically updates upon saving the source file; and it enhances user interaction by enabling the inclusion of widgets as effortlessly as declaring a variable, all without the need to handle backend development, define routes, or manage HTTP requests. Furthermore, applications can be deployed instantly through Streamlit’s sharing platform, which streamlines the processes of sharing, managing, and collaborating on projects. This straightforward framework allows for the development of powerful applications, such as the Face-GAN explorer that integrates Shaobo Guan’s TL-GAN project and utilizes TensorFlow and NVIDIA’s PG-GAN for generating attribute-based facial images. Another compelling example is a real-time object detection application designed as an image browser for the Udacity self-driving car dataset, demonstrating impressive capabilities in real-time object processing and recognition. Overall, Streamlit is not only beneficial for developers but also serves as a vital resource for data enthusiasts, enabling them to explore innovative projects with ease. Each of these features highlights why Streamlit has become a preferred choice for many in the data community.

Media

Media

Integrations Supported

Python
Azure Marketplace
ConfidentialMind
Cybersyn
DemoGPT
Gradient
Jamba
JarvisLabs.ai
New Relic
Streamoku
Swoole
TrueFoundry

Integrations Supported

Python
Azure Marketplace
ConfidentialMind
Cybersyn
DemoGPT
Gradient
Jamba
JarvisLabs.ai
New Relic
Streamoku
Swoole
TrueFoundry

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tornado

Date Founded

2009

Company Location

United States

Company Website

www.tornadoweb.org/en/stable/

Company Facts

Organization Name

Streamlit

Company Location

United States

Company Website

www.streamlit.io

Categories and Features

Categories and Features

Application Development

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

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

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