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Average Ratings 0 Ratings

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ease
features
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support

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Write a Review

Description

Fast and adaptable, the concepts of vectorization, indexing, and broadcasting in NumPy have become the benchmark for array computation in the present day. This powerful library provides an extensive array of mathematical functions, random number generators, linear algebra capabilities, Fourier transforms, and beyond. NumPy is compatible with a diverse array of hardware and computing environments, seamlessly integrating with distributed systems, GPU libraries, and sparse array frameworks. At its core, NumPy is built upon highly optimized C code, which allows users to experience the speed associated with compiled languages while enjoying the flexibility inherent to Python. The high-level syntax of NumPy makes it user-friendly and efficient for programmers across various backgrounds and skill levels. By combining the computational efficiency of languages like C and Fortran with the accessibility of Python, NumPy simplifies complex tasks, resulting in clear and elegant solutions. Ultimately, this library empowers users to tackle a wide range of numerical problems with confidence and ease.

Description

Distcc is a system designed for distributed compilation that speeds up the build process for C, C++, Objective-C, and Fortran by distributing compile tasks across various networked machines. This tool works effectively with both GCC and Clang toolchains, seamlessly intercepting compiler commands and redistributing them to remote daemons while maintaining optimization settings, include directories, and tracking of dependencies. The architecture is client-server based, featuring a lightweight listener that oversees job queues, prioritizes local compilation as necessary, and easily identifies available hosts through straightforward configuration or DNS. Additionally, Distcc accommodates cross-compilation setups, offers SSH tunneling for secure clusters, allows for the blacklisting of unreliable servers, and integrates well with modern build systems such as Make, CMake, and Ninja. It also includes monitoring tools that supply real-time data on job distribution and performance, and its compatibility with compilation databases (compdb) permits detailed management of distributed workloads. Overall, Distcc is a powerful solution that significantly enhances build efficiency across diverse development environments.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

C No 
C++ No 
Codédex Yes 
Coiled Yes 
Cython Yes 
Dash Yes 
Flower Yes 
Fortran No 
Gensim Yes 
JAX Yes 
MPI for Python (mpi4py) Yes 
NVIDIA FLARE Yes 
Objective-C No 
PyCharm Yes 
Spyder Yes 
Unify AI Yes 
Visual Studio Code Yes 
Yamak.ai Yes 
Yandex Data Proc Yes 
h5py Yes 

Integrations

C Yes 
C++ Yes 
Codédex No 
Coiled No 
Cython No 
Dash No 
Flower No 
Fortran Yes 
Gensim No 
JAX No 
MPI for Python (mpi4py) No 
NVIDIA FLARE No 
Objective-C Yes 
PyCharm No 
Spyder No 
Unify AI No 
Visual Studio Code No 
Yamak.ai No 
Yandex Data Proc No 
h5py No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

NumPy

Website

numpy.org

Vendor Details

Company Name

distcc

Founded

2002

Country

United States

Website

www.distcc.org

Product Features

Product Features

Build Automation

Automated Testing No 
Build Cache No 
Build Management Tools No 
Build Metrics No 
Change Only Compiling No 
Debugging Tools No 
Dependency Management No 
IDE Compatibility No 
Parallel Testing No 
Plugin Library No 
Source Code Management No 
Version Conflict Resolution No 

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