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About

Framework7 is a free and open-source framework to develop mobile, desktop, or web apps with a native look and feel. It is also an indispensable prototyping tool to show a working app prototype as soon as possible in case you need to. With such a stunning set of UI components that Framework7 provides right from the box, it allows to create web apps, progressive web apps (PWA), and iOS and Android apps with a native look and feel. Framework7 paired with extra tools like Electron and NW.js allows to build native desktop apps. You can use any tools you love when working with Framework7. It doesn’t force you to use anything except plain HTML, CSS, and JavaScript. Creating apps with Framework7 is easy as creating a website. And in addition to vanilla JavaScript library, Framework7 comes with Vue.js, React, and Svelte components to bring components-syntax, structured data, and data bindings with the power and simplicity of Vue.js, React, or Svelte.

About

Builds on top of standard HTML, CSS and JavaScript with intuitive API and world-class documentation. Truly reactive, compiler-optimized rendering system that rarely requires manual optimization. A rich, incrementally adoptable ecosystem that scales between a library and a full-featured framework. Vue is a JavaScript framework for building user interfaces. It builds on top of standard HTML, CSS and JavaScript, and provides a declarative and component-based programming model that helps you efficiently develop user interfaces, be it simple or complex. Vue extends standard HTML with a template syntax that allows us to declaratively describe HTML output based on JavaScript state. Vue automatically tracks JavaScript state changes and efficiently updates the DOM when changes happen. Vue is a framework and ecosystem that covers most of the common features needed in frontend development.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a solution to build full-featured iOS, Android and desktop applications

Audience

JavaScript Framework that helps developers build web user interfaces

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Framework7
Founded: 2017
framework7.io

Company Information

Vue.js
vuejs.org

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
ML.NET

ML.NET

Microsoft
MLlib

MLlib

Apache Software Foundation
Keepsake

Keepsake

Replicate

Categories

Categories

Categories

Integrations

Base AI
Breakneck
CodeLobster IDE
CodinIT.dev
Feathers
Flowbite
Hadron
HasData
Livewire
Logto
ParityDeals
Prepr
RxDB
ScrapingBee
Spark Cloud Studio
Stickler CI
Stigg
Titanium SDK
WebsiteChat
daisyUI

Integrations

Base AI
Breakneck
CodeLobster IDE
CodinIT.dev
Feathers
Flowbite
Hadron
HasData
Livewire
Logto
ParityDeals
Prepr
RxDB
ScrapingBee
Spark Cloud Studio
Stickler CI
Stigg
Titanium SDK
WebsiteChat
daisyUI

Integrations

Base AI
Breakneck
CodeLobster IDE
CodinIT.dev
Feathers
Flowbite
Hadron
HasData
Livewire
Logto
ParityDeals
Prepr
RxDB
ScrapingBee
Spark Cloud Studio
Stickler CI
Stigg
Titanium SDK
WebsiteChat
daisyUI
Claim Framework7 and update features and information
Claim Framework7 and update features and information
Claim Vue.js and update features and information
Claim Vue.js and update features and information
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