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About

Backbone.js gives structure to web applications by providing models with key-value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing API over a RESTful JSON interface. When working on a web application that involves a lot of JavaScript, one of the first things you learn is to stop tying your data to the DOM. It's all too easy to create JavaScript applications that end up as tangled piles of jQuery selectors and callbacks, all trying frantically to keep data in sync between the HTML UI, your JavaScript logic, and the database on your server. For rich client-side applications, a more structured approach is often helpful. With Backbone, you represent your data as Models, which can be created, validated, destroyed, and saved to the server.

About

jQuery is a fast, small, and feature-rich JavaScript library. It makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a multitude of browsers. If you're new to jQuery. Return a collection of matched elements either found in the DOM based on passed argument(s) or created by passing an HTML string. All the aspects of the API that were deprecated in the corresponding version of jQuery. These methods get and set DOM attributes of elements.

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

JavaScript Library solution for developers

Audience

JavaScript Library solution for developers

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

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

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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

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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

Backbone.js
backbonejs.org

Company Information

jQuery
jquery.com

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
Kendo UI

Kendo UI

Progress Software
Kendo UI

Kendo UI

Progress Software
Keepsake

Keepsake

Replicate

Categories

Categories

Categories

Integrations

CodeLobster IDE
CodeRunner
CodeWP
DagsHub
Dash
Devlevate
Ducky Unlimited
FusionCharts
Intel Tiber AI Studio
Keepsake
Kitto
Muscula
PremierCashier
QUnit
Sourcetrail
SurveyJS
TinyMCE
Ultimate UI
Unirest
Unremot

Integrations

CodeLobster IDE
CodeRunner
CodeWP
DagsHub
Dash
Devlevate
Ducky Unlimited
FusionCharts
Intel Tiber AI Studio
Keepsake
Kitto
Muscula
PremierCashier
QUnit
Sourcetrail
SurveyJS
TinyMCE
Ultimate UI
Unirest
Unremot

Integrations

CodeLobster IDE
CodeRunner
CodeWP
DagsHub
Dash
Devlevate
Ducky Unlimited
FusionCharts
Intel Tiber AI Studio
Keepsake
Kitto
Muscula
PremierCashier
QUnit
Sourcetrail
SurveyJS
TinyMCE
Ultimate UI
Unirest
Unremot
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