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About

Package, dependency, and environment management for any language, Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, Fortran, and more. Conda is an open-source package management system and environment management system that runs on Windows, macOS, Linux, and z/OS. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.

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 Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

IT professionals and users in need of a solution to find and install packages and set up environments

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

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 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 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 Information

Conda
docs.conda.io

Company Information

NumPy
numpy.org

Alternatives

Rocket Open AppDev for Z

Rocket Open AppDev for Z

Rocket Software

Alternatives

Thoa

Thoa

Thoa.io
h5py

h5py

HDF5

Categories

Package Managers Supported

Categories

Integrations

Coiled Supported
3LC Not Supported
Arize Phoenix Supported
CodeQwen Supported
Cython Not Supported
Dash Not Supported
Gensim Not Supported
JetBrains DataSpell Supported
MPI for Python (mpi4py) Not Supported
NVIDIA FLARE Not Supported
Nyala Supported
Seeker Supported
Spyder Not Supported
Thunder Compute Supported
Train in Data Not Supported
Travis CI Supported
Unify AI Not Supported
Yandex Data Proc Not Supported
h5py Not Supported
imageio Not Supported

Integrations

Coiled Supported
3LC Supported
Arize Phoenix Not Supported
CodeQwen Not Supported
Cython Supported
Dash Supported
Gensim Supported
JetBrains DataSpell Not Supported
MPI for Python (mpi4py) Supported
NVIDIA FLARE Supported
Nyala Not Supported
Seeker Not Supported
Spyder Supported
Thunder Compute Not Supported
Train in Data Supported
Travis CI Not Supported
Unify AI Supported
Yandex Data Proc Supported
h5py Supported
imageio Supported
Claim Conda and update features and information
Claim Conda and update features and information
Claim NumPy and update features and information
Claim NumPy and update features and information