Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Integrations
C
No
C++
No
Codédex
Yes
Coiled
Yes
Cython
Yes
Dash
Yes
Flower
Yes
Fortran
No
Gensim
Yes
JAX
Yes
Integrations
C
Yes
C++
Yes
Codédex
No
Coiled
No
Cython
No
Dash
No
Flower
No
Fortran
Yes
Gensim
No
JAX
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