Mojo

Mojo

Modular
+

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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

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

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

AI developers interested in a new programming language for AI

Audience

Developers interested in a beautiful but advanced programming language

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

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:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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

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

Company Information

Python
Founded: 1991
www.python.org

Company Information

statsmodels
www.statsmodels.org/stable/index.html

Alternatives

CUDA

CUDA

NVIDIA

Alternatives

Alternatives

Categories

Categories

Categories

Integrations

AMD Developer Cloud
Amazon Nova Act
CData Connect AI
CloudDefense.AI
CodeArts
ConTEXT Editor
Flawnter
Handinger
IPy
Jeeva eClinical Cloud
June
Lineaje SBOM360
Linkup
Open Interpreter
Phrase Localization Platform
ScrapeOwl
Sublime Text
Surmount AI
TeamStation
YAML

Integrations

AMD Developer Cloud
Amazon Nova Act
CData Connect AI
CloudDefense.AI
CodeArts
ConTEXT Editor
Flawnter
Handinger
IPy
Jeeva eClinical Cloud
June
Lineaje SBOM360
Linkup
Open Interpreter
Phrase Localization Platform
ScrapeOwl
Sublime Text
Surmount AI
TeamStation
YAML

Integrations

AMD Developer Cloud
Amazon Nova Act
CData Connect AI
CloudDefense.AI
CodeArts
ConTEXT Editor
Flawnter
Handinger
IPy
Jeeva eClinical Cloud
June
Lineaje SBOM360
Linkup
Open Interpreter
Phrase Localization Platform
ScrapeOwl
Sublime Text
Surmount AI
TeamStation
YAML
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