About

Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.

About

IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. Existing .NET developers can also use IronPython as a fast and expressive scripting language for embedding, testing, or writing a new application from scratch. The CLR is a great platform for creating programming languages, and the DLR makes it all the better for dynamic languages. Also, the .NET (base class library, presentation foundation, etc.) gives developers an amazing amount of functionality and power. IronPython uses Python syntax and standard libraries and so your Python code will need to be updated accordingly.

About

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

About

fpm is a tool that lets you easily create packages for Debian, Ubuntu, Fedora, CentOS, RHEL, Arch Linux, FreeBSD, macOS, and more! fpm isn’t a new packaging system, it’s a tool to help you make packages for existing systems with less effort. It does this by offering a command-line interface to allow you to create packages easily. FPM is written in ruby and can be installed using gem. For some package formats (like rpm and snap), you will need certain packages installed to build them. Some package formats require other tools to be installed on your machine to be built; especially if you are building a package for another operating system/distribution. FPM takes your program and builds packages that can be installed easily on various operating systems. It can take any nodejs package, ruby gem, or even a python package and turn it into a deb, rpm, pacman, etc. package.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users and developers requiring a static compiler for both Python and Cython programming languages

Audience

Developers requiring a scripting language for embedding, testing, or writing new applications

Audience

Component Library solution for DevOps teams

Audience

IT professionals and users looking for a solution to create packages on various operating systems

Support

Phone Support
24/7 Live Support
Online

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

API

Offers API

Screenshots and Videos

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

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 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

Training

Documentation
Webinars
Live Online
In Person

Company Information

Cython
United States
cython.org

Company Information

IronPython
ironpython.net

Company Information

NumPy
numpy.org

Company Information

fpm
fpm.readthedocs.io/en/latest/index.html

Alternatives

h5py

h5py

HDF5

Alternatives

Alternatives

Alternatives

h5py

h5py

HDF5
Gensim

Gensim

Radim Řehůřek
DNF

DNF

DOCS
Mojo

Mojo

Modular

Categories

Categories

Categories

Categories

Integrations

3LC
Avanzai
C
CentOS
Coiled
Cython
Debian
Fedora
Flower
Fortran
Gensim
JAX
Linux Mint
NumPy
PyCharm
Visual Studio
Yamak.ai
Yandex Data Proc
h5py
scikit-image

Integrations

3LC
Avanzai
C
CentOS
Coiled
Cython
Debian
Fedora
Flower
Fortran
Gensim
JAX
Linux Mint
NumPy
PyCharm
Visual Studio
Yamak.ai
Yandex Data Proc
h5py
scikit-image

Integrations

3LC
Avanzai
C
CentOS
Coiled
Cython
Debian
Fedora
Flower
Fortran
Gensim
JAX
Linux Mint
NumPy
PyCharm
Visual Studio
Yamak.ai
Yandex Data Proc
h5py
scikit-image

Integrations

3LC
Avanzai
C
CentOS
Coiled
Cython
Debian
Fedora
Flower
Fortran
Gensim
JAX
Linux Mint
NumPy
PyCharm
Visual Studio
Yamak.ai
Yandex Data Proc
h5py
scikit-image
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