NumPy PyQtGraph

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NumPy:

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.
PyQtGraph:

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.
NumPy:

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
PyQtGraph:

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
NumPy:

Audience

Component Library solution for DevOps teams
PyQtGraph:

Audience

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
PyQtGraph:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
NumPy:

API

Offers API Supported
PyQtGraph:

API

Offers API Not Supported
NumPy:

Screenshots and Videos

PyQtGraph:

Screenshots and Videos

NumPy:

Pricing

Free
Free Version Supported
Free Trial Not Supported
PyQtGraph:

Pricing

Free
Free Version Supported
Free Trial Not Supported
NumPy:

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
PyQtGraph:

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
NumPy:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
PyQtGraph:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
NumPy:

Company Information

NumPy
numpy.org
PyQtGraph:

Company Information

PyQtGraph
www.pyqtgraph.org
NumPy:

Alternatives

PyQtGraph:

Alternatives

NumPy:
h5py

h5py

HDF5
PyQtGraph:
NumPy:
PyQtGraph:
h5py

h5py

HDF5
NumPy:
PyQtGraph:
NumPy:
PyQtGraph:
NumPy:

Categories

PyQtGraph:

Categories

NumPy:

Integrations

3LC Supported
Avanzai Supported
Codédex Supported
Coiled Supported
Cython Supported
Dash Supported
Gensim Supported
JAX Supported
PaizaCloud Supported
PyCharm Supported
Python Not Supported
Spyder Supported
Train in Data Supported
Unify AI Supported
Visual Studio Code Supported
Yamak.ai Supported
Yandex Data Proc Supported
h5py Supported
imageio Supported
scikit-learn Supported
PyQtGraph:

Integrations

3LC Not Supported
Avanzai Not Supported
Codédex Not Supported
Coiled Not Supported
Cython Not Supported
Dash Not Supported
Gensim Not Supported
JAX Not Supported
PaizaCloud Not Supported
PyCharm Not Supported
Python Supported
Spyder Not Supported
Train in Data Not Supported
Unify AI Not Supported
Visual Studio Code Not Supported
Yamak.ai Not Supported
Yandex Data Proc Not Supported
h5py Not Supported
imageio Not Supported
scikit-learn Not Supported
NumPy:
Claim NumPy and update features and information
Claim NumPy and update features and information
PyQtGraph:
Claim PyQtGraph and update features and information
Claim PyQtGraph and update features and information