Mojo

Mojo

Modular
+

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About

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

About

Mojo 🔥 — a new programming language for all AI developers. Mojo combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models. Write Python or scale all the way down to the metal. Program the multitude of low-level AI hardware. No C++ or CUDA required. Utilize the full power of the hardware, including multiple cores, vector units, and exotic accelerator units, with the world's most advanced compiler and heterogenous runtime. Achieve performance on par with C++ and CUDA without the complexity.

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

Programmers and developers

Audience

AI developers interested in a new programming language for AI

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

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

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

JSON
Founded: 2001
www.json.org

Company Information

Modular
Founded: 2022
United States
www.modular.com/mojo

Company Information

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

Alternatives

Alternatives

CUDA

CUDA

NVIDIA

Alternatives

Gensim

Gensim

Radim Řehůřek
ML.NET

ML.NET

Microsoft
XML

XML

World Wide Web Consortium (W3C)
MLlib

MLlib

Apache Software Foundation
Keepsake

Keepsake

Replicate

Categories

Categories

Categories

Integrations

Action Agent
Auth.js
Boltic
Crush
DOT Anonymizer
Fastah
Feeder
IOConverters
Indexima Data Hub
Matplotlib
Modular
Msty
News Explorer
Rafter
Traceloop
Wapiti
doqs
eXTReMe-IP-Lookup
mediastack
serpstack

Integrations

Action Agent
Auth.js
Boltic
Crush
DOT Anonymizer
Fastah
Feeder
IOConverters
Indexima Data Hub
Matplotlib
Modular
Msty
News Explorer
Rafter
Traceloop
Wapiti
doqs
eXTReMe-IP-Lookup
mediastack
serpstack

Integrations

Action Agent
Auth.js
Boltic
Crush
DOT Anonymizer
Fastah
Feeder
IOConverters
Indexima Data Hub
Matplotlib
Modular
Msty
News Explorer
Rafter
Traceloop
Wapiti
doqs
eXTReMe-IP-Lookup
mediastack
serpstack
Claim JSON and update features and information
Claim JSON and update features and information
Claim Mojo and update features and information
Claim Mojo and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information