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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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Conda
docs.conda.io

Company Information

NumPy
numpy.org

Alternatives

Alternatives

h5py

h5py

HDF5
Hopsworks

Hopsworks

Logical Clocks

Categories

Categories

Integrations

Coiled
3LC
Arize Phoenix
CodeQwen
Codédex
Cython
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
Nyala
PaizaCloud
PyCharm
Seeker
Sonatype Nexus Repository
Spark NLP
Spyder
Unify AI
Yamak.ai
h5py
imageio

Integrations

Coiled
3LC
Arize Phoenix
CodeQwen
Codédex
Cython
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
Nyala
PaizaCloud
PyCharm
Seeker
Sonatype Nexus Repository
Spark NLP
Spyder
Unify AI
Yamak.ai
h5py
imageio
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