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Description
Streamlit is the quickest way to create and distribute data applications. It allows you to transform your data scripts into shareable web applications within minutes, all using Python and at no cost, eliminating the need for any front-end development skills. The platform is built on three core principles: first, it encourages the use of Python scripting; second, it enables you to construct an application with just a few lines of code through an intuitively simple API, which automatically updates when the source file is saved; and third, it simplifies interaction by making the addition of widgets as straightforward as declaring a variable, without the necessity to write a backend, define routes, or manage HTTP requests. Additionally, you can deploy your applications immediately by utilizing Streamlit’s sharing platform, which facilitates easy sharing, management, and collaboration on your projects. This minimalistic framework empowers you to create robust applications, such as the Face-GAN explorer, which employs Shaobo Guan’s TL-GAN project along with TensorFlow and NVIDIA’s PG-GAN to generate attributes-based facial images. Another example is a real-time object detection app that serves as an image browser for the Udacity self-driving car dataset, showcasing advanced capabilities in processing and recognizing objects in real-time. Through these diverse applications, Streamlit proves to be an invaluable tool for developers and data enthusiasts alike.
Description
Developing machine learning applications should be effortless and seamless. UnionML is an open-source framework in Python that enhances Flyte™, streamlining the intricate landscape of ML tools into a cohesive interface. You can integrate your favorite tools with a straightforward, standardized API, allowing you to reduce the amount of boilerplate code you write and concentrate on what truly matters: the data and the models that derive insights from it. This framework facilitates the integration of a diverse array of tools and frameworks into a unified protocol for machine learning. By employing industry-standard techniques, you can create endpoints for data retrieval, model training, prediction serving, and more—all within a single comprehensive ML stack. As a result, data scientists, ML engineers, and MLOps professionals can collaborate effectively using UnionML apps, establishing a definitive reference point for understanding the behavior of your machine learning system. This collaborative approach fosters innovation and streamlines communication among team members, ultimately enhancing the overall efficiency and effectiveness of ML projects.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Python
Yes
Amazon Web Services (AWS)
No
Azure Marketplace
Yes
Beam Cloud
Yes
Broxi AI
Yes
ConfidentialMind
Yes
DemoGPT
Yes
Google Cloud Platform
No
Gradient
Yes
Jamba
Yes
Integrations
Python
Yes
Amazon Web Services (AWS)
Yes
Azure Marketplace
No
Beam Cloud
No
Broxi AI
No
ConfidentialMind
No
DemoGPT
No
Google Cloud Platform
Yes
Gradient
No
Jamba
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Streamlit
Country
United States
Website
www.streamlit.io
Vendor Details
Company Name
Union
Founded
2021
Country
United States
Website
www.union.ai/unionml
Product Features
Application Development
Access Controls/Permissions
No
Code Assistance
No
Code Refactoring
No
Collaboration Tools
No
Compatibility Testing
No
Data Modeling
No
Debugging
No
Deployment Management
No
Graphical User Interface
No
Mobile Development
No
No-Code
No
Reporting/Analytics
No
Software Development
No
Source Control
No
Testing Management
No
Version Control
No
Web App Development
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No