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Average Ratings 0 Ratings

Total
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Description

Expo is a versatile open-source platform that allows developers to craft universal native applications using React. It encompasses an extensive suite of tools and services aimed at simplifying the processes of development, review, and deployment. With Expo, developers can either start fresh with new projects or incorporate existing React Native applications, taking advantage of features such as file-based routing and TypeScript support to create stack and modal screens with minimal setup. Its fast refresh functionality enables real-time updates on devices through the Expo Go app, enhancing the development experience. Additionally, developers have the option to utilize any library, SDK, or write custom native code, providing unrestricted access to device APIs. Furthermore, Expo promotes collaboration among team members by allowing role-based access, generating QR codes for feature previews, and integrating seamlessly with GitHub to facilitate efficient pull request reviews. This combination of features not only accelerates the development workflow but also enhances communication and productivity within teams.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
CatDoes Yes 
GitHub Yes 
Google Cloud Platform No 
JavaScript Yes 
Microsoft Azure No 
OnSpace AI Yes 
Python No 
Radon Yes 
TypeScript Yes 

Integrations

Amazon Web Services (AWS) Yes 
CatDoes No 
GitHub No 
Google Cloud Platform Yes 
JavaScript No 
Microsoft Azure Yes 
OnSpace AI No 
Python Yes 
Radon No 
TypeScript No 

Pricing Details

$99 per month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
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 Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
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

Expo.dev

Country

United States

Website

expo.dev/

Vendor Details

Company Name

Union

Founded

2021

Country

United States

Website

www.union.ai/unionml

Product Features

App Makers

Collaboration Tools No 
Compatibility Testing No 
Deployment Management No 
Drag & Drop No 
For eCommerce No 
Forms Creation No 
Iteration Management No 
Mobile Apps No 
No-Code No 
Pre-Built Templates No 
Visual Modeling No 
Web Apps No 
Workflow Management 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 

Alternatives

Alternatives

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