Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • SurveyJS Reviews & Ratings
    61 Ratings
    Company Website
  • JOpt.TourOptimizer Reviews & Ratings
    10 Ratings
    Company Website
  • Dragonfly Reviews & Ratings
    16 Ratings
    Company Website
  • QA Wolf Reviews & Ratings
    261 Ratings
    Company Website
  • DialerAI Reviews & Ratings
    5 Ratings
    Company Website
  • Greatmail Reviews & Ratings
    9 Ratings
    Company Website
  • Proton Pass Reviews & Ratings
    31,996 Ratings
    Company Website
  • AlsoThere Reviews & Ratings
    1 Rating
    Company Website
  • Bitrise Reviews & Ratings
    396 Ratings
    Company Website
  • ISL Light Remote Desktop Reviews & Ratings
    1,568 Ratings
    Company Website

What is MPI for Python (mpi4py)?

In recent times, high-performance computing has become increasingly available to a larger pool of researchers in the scientific field than it ever has been before. The effective synergy of high-quality open-source software and reasonably priced hardware has played a crucial role in the widespread utilization of Beowulf class clusters and workstation clusters. Among the various approaches to parallel computation, message-passing has stood out as a notably efficient model. This approach is particularly advantageous for distributed memory systems and is heavily relied upon in today’s most challenging scientific and engineering tasks related to modeling, simulation, design, and signal processing. However, the environment for portable message-passing parallel programming used to be complicated, as developers had to navigate a multitude of incompatible choices. Fortunately, this scenario has vastly improved since the MPI Forum established its standard specification, which has simplified the development process considerably. Consequently, researchers are now able to dedicate more of their efforts to advancing their scientific research instead of dealing with the intricacies of programming. This shift not only enhances productivity but also fosters innovation across various disciplines.

What is Dask?

Dask is an open-source library that is freely accessible and developed through collaboration with various community efforts like NumPy, pandas, and scikit-learn. It utilizes the established Python APIs and data structures, enabling users to move smoothly between the standard libraries and their Dask-augmented counterparts. The library's schedulers are designed to scale effectively across large clusters containing thousands of nodes, and its algorithms have been tested on some of the world’s most powerful supercomputers. Nevertheless, users do not need access to expansive clusters to get started, as Dask also includes schedulers that are optimized for personal computing setups. Many users find value in Dask for improving computation performance on their personal laptops, taking advantage of multiple CPU cores while also using disk space for extra storage. Additionally, Dask offers lower-level APIs that allow developers to build customized systems tailored to specific needs. This capability is especially advantageous for innovators in the open-source community aiming to parallelize their applications, as well as for business leaders who want to scale their innovative business models effectively. Ultimately, Dask acts as a flexible tool that effectively connects straightforward local computations with intricate distributed processing requirements, making it a valuable asset for a wide range of users.

Media

Media

Integrations Supported

Anaconda
C
C++
Coiled
Dagster
Domino Enterprise AI Platform
Flyte
Fortran
Google Cloud Platform
Kedro
NVIDIA DIGITS
NumPy
Prefect
Python
Ray
Saturn Cloud
Snorkel AI
Spell
Union Cloud
Union Pandera

Integrations Supported

Anaconda
C
C++
Coiled
Dagster
Domino Enterprise AI Platform
Flyte
Fortran
Google Cloud Platform
Kedro
NVIDIA DIGITS
NumPy
Prefect
Python
Ray
Saturn Cloud
Snorkel AI
Spell
Union Cloud
Union Pandera

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MPI for Python

Company Website

mpi4py.readthedocs.io/en/stable/

Company Facts

Organization Name

Dask

Date Founded

2019

Company Website

dask.org

Categories and Features

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Popular Alternatives

GASP Reviews & Ratings

GASP

AeroSoft

Popular Alternatives

Ray Reviews & Ratings

Ray

Anyscale