Mojo

Mojo

Modular
+

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About

The ActionScript® scripting language lets you add complex interactivity, playback control, and data display to your application. You can add ActionScript in the authoring environment by using the Actions panel, Script window, or an external editor. ActionScript follows its own rules of syntax, and reserved keywords, and lets you use variables to store and retrieve information. ActionScript includes a large library of built‑in classes that let you create objects to perform many useful tasks. You do not have to understand every ActionScript element to begin scripting. If you have a clear goal, you can start building scripts with simple actions. ActionScript and JavaScript are both rooted in the ECMA-262 standard, the international standard for the ECMAScript scripting language. For this reason, developers who are familiar with JavaScript can find ActionScript immediately familiar. Animate includes more than one version of ActionScript to meet the needs of different kinds of developers.

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

Developers interested in a scripting language to create and manage objects to perform useful tasks

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

No information available.
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

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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

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

ActionScript
Founded: 1982
United States
helpx.adobe.com/animate/using/actionscript.html

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
MLlib

MLlib

Apache Software Foundation
Keepsake

Keepsake

Replicate

Categories

Categories

Categories

Integrations

CodeConvert
CodePal
DagsHub
Databricks Data Intelligence Platform
Flower
Guild AI
HTML
Intel Tiber AI Studio
JavaScript
Keepsake
MLJAR Studio
Matplotlib
ModelOp
Modular
NumPy
PlayerIO
Python
REST United
Train in Data

Integrations

CodeConvert
CodePal
DagsHub
Databricks Data Intelligence Platform
Flower
Guild AI
HTML
Intel Tiber AI Studio
JavaScript
Keepsake
MLJAR Studio
Matplotlib
ModelOp
Modular
NumPy
PlayerIO
Python
REST United
Train in Data

Integrations

CodeConvert
CodePal
DagsHub
Databricks Data Intelligence Platform
Flower
Guild AI
HTML
Intel Tiber AI Studio
JavaScript
Keepsake
MLJAR Studio
Matplotlib
ModelOp
Modular
NumPy
PlayerIO
Python
REST United
Train in Data
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Claim ActionScript and update features and information
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