Related Products
|
||||||
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
The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.
|
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.
|
||||
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Supported
|
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
||||
Audience
Users and developers requiring a static compiler for both Python and Cython programming languages
|
Audience
Developers looking for a Programming Language solution
|
Audience
Component Library solution for DevOps teams
|
||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
||||
API
Offers API
Supported
|
API
Offers API
Not Supported
|
API
Offers API
Supported
|
||||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
||||
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
|
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
|
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
|
||||
Reviews/
|
Reviews/
|
Reviews/
|
||||
Pros & Cons from Real UsersPros
Cons
|
||||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
||||
Company InformationCython
United States
cython.org
|
Company InformationOracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html
|
Company InformationNumPy
numpy.org
|
||||
Alternatives |
Alternatives |
Alternatives |
||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
Categories |
||||
Integrations
3PO
Not Supported
Akira AI
Not Supported
Carmenta
Not Supported
DeCaptcher
Not Supported
Google Cloud Run
Not Supported
HoundDog.ai
Not Supported
JOpt.TourOptimizer
Not Supported
Kimi K2.6
Not Supported
Kiuwan Code Security
Not Supported
Navie AI
Not Supported
|
Integrations
3PO
Supported
Akira AI
Supported
Carmenta
Supported
DeCaptcher
Supported
Google Cloud Run
Supported
HoundDog.ai
Supported
JOpt.TourOptimizer
Supported
Kimi K2.6
Supported
Kiuwan Code Security
Supported
Navie AI
Supported
|
Integrations
3PO
Not Supported
Akira AI
Not Supported
Carmenta
Not Supported
DeCaptcher
Not Supported
Google Cloud Run
Not Supported
HoundDog.ai
Not Supported
JOpt.TourOptimizer
Not Supported
Kimi K2.6
Not Supported
Kiuwan Code Security
Not Supported
Navie AI
Not Supported
|
||||
|
|
|
|