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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.

About

PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Basic 2D plotting in interactive view boxes. Line and scatter plots. Data can be panned/scaled by mouse. Fast drawing for real-time data display and interaction. Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance). Functions for slicing multidimensional images at arbitrary angles (great for MRI data). Rapid update for video display or real-time interaction. Image display with interactive lookup tables and level control. Mesh rendering with isosurface generation. Interactive viewports rotate/zoom with mouse. Basic 3D scenegraph for easier programming.

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

Component Library solution for DevOps teams

Audience

Professional users interested in a solution offering scientific graphics and a GUI library for Python

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 Supported

API

Offers API Not 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

NumPy
numpy.org

Company Information

PyQtGraph
www.pyqtgraph.org

Alternatives

Alternatives

h5py

h5py

HDF5
h5py

h5py

HDF5

Categories

Categories

Integrations

3LC Supported
Avanzai Supported
Codédex Supported
Coiled Supported
Cython Supported
Flower Supported
Gensim Supported
JAX Supported
MPI for Python (mpi4py) Supported
NVIDIA FLARE Supported
PaizaCloud Supported
PyCharm Supported
Python Not Supported
Spyder Supported
Train in Data Supported
Visual Studio Code Supported
Yamak.ai Supported
Yandex Data Proc Supported
h5py Supported
imageio Supported

Integrations

3LC Not Supported
Avanzai Not Supported
Codédex Not Supported
Coiled Not Supported
Cython Not Supported
Flower Not Supported
Gensim Not Supported
JAX Not Supported
MPI for Python (mpi4py) Not Supported
NVIDIA FLARE Not Supported
PaizaCloud Not Supported
PyCharm Not Supported
Python Supported
Spyder Not Supported
Train in Data Not Supported
Visual Studio Code Not Supported
Yamak.ai Not Supported
Yandex Data Proc Not Supported
h5py Not Supported
imageio Not Supported
Claim NumPy and update features and information
Claim NumPy and update features and information
Claim PyQtGraph and update features and information
Claim PyQtGraph and update features and information