TUI-apps VS cupy

Compare TUI-apps vs cupy and see what are their differences.

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TUI-apps cupy
24 21
406 7,367
- 1.5%
7.5 9.8
4 months ago 5 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of TUI-apps. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-29.


Posts with mentions or reviews of cupy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-28.

What are some alternatives?

When comparing TUI-apps and cupy you can also consider the following projects:

cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale

Numba - NumPy aware dynamic Python compiler using LLVM

scikit-cuda - Python interface to GPU-powered libraries

TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

bottleneck - Fast NumPy array functions written in C

Poetry - Python packaging and dependency management made easy

python-performance - Repository for the book Fast Python - published by Manning

dpnp - Data Parallel Extension for NumPy

3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

opt_einsum - ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

textual - The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.

CUDA.jl - CUDA programming in Julia.