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What is NiceGUI?

NiceGUI is an open-source library tailored for Python, enabling developers to build web-based graphical user interfaces (GUIs) using only Python code. With a user-friendly learning curve, it also offers advanced customization options for more experienced users. By adopting a backend-first approach, NiceGUI manages all the complexities of web development, allowing developers to focus solely on writing Python code. This framework is ideal for a variety of projects, ranging from simple scripts and dashboards to applications in robotics, IoT, smart home automation, and machine learning. Built on FastAPI for backend operations, it employs Vue.js for user interface interactions and Tailwind CSS for stylish design elements. Developers can easily create a wide array of components such as buttons, dialogs, Markdown content, 3D visualizations, and plots, all within a Python-based environment. Additionally, it supports real-time interactivity through WebSocket connections, enabling instant updates in the browser without requiring page refreshes. Moreover, NiceGUI provides an extensive selection of components and layout options, including rows and columns, which ensures users have the flexibility to design interfaces that meet their specific needs. Ultimately, this framework empowers developers with the tools and resources they need to innovate and create dynamic applications effortlessly.

What is Core ML?

Core ML makes use of a machine learning algorithm tailored to a specific dataset to create a predictive model. This model facilitates predictions based on new incoming data, offering solutions for tasks that would be difficult or unfeasible to program by hand. For example, you could create a model that classifies images or detects specific objects within those images by analyzing their pixel data directly. After the model is developed, it is crucial to integrate it into your application and ensure it can be deployed on users' devices. Your application takes advantage of Core ML APIs and user data to enable predictions while also allowing for the model to be refined or retrained as needed. You can build and train your model using the Create ML application included with Xcode, which formats the models for Core ML, thus facilitating smooth integration into your app. Alternatively, other machine learning libraries can be utilized, and Core ML Tools can be employed to convert these models into the appropriate format for Core ML. Once the model is successfully deployed on a user's device, Core ML supports on-device retraining or fine-tuning, which improves its accuracy and overall performance. This capability not only enhances the model based on real-world feedback but also ensures that it remains relevant and effective in various applications over time. Continuous updates and adjustments can lead to significant advancements in the model's functionality.

Media

Media

Integrations Supported

Apple tvOS
Apple watchOS
CSS
Docker
FastAPI
HTML
Markdown
NGINX
OAuth
OpenAI
Python
Redis
SQLite
Tailwind CSS
Trello
Vue.js
Xcode
ZeroMQ

Integrations Supported

Apple tvOS
Apple watchOS
CSS
Docker
FastAPI
HTML
Markdown
NGINX
OAuth
OpenAI
Python
Redis
SQLite
Tailwind CSS
Trello
Vue.js
Xcode
ZeroMQ

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

NiceGUI

Company Location

United States

Company Website

nicegui.io

Company Facts

Organization Name

Apple

Company Location

United States

Company Website

developer.apple.com/documentation/coreml

Categories and Features

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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