nptyping VS optapy

Compare nptyping vs optapy and see what are their differences.

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nptyping optapy
1 2
540 259
- 0.8%
0.0 5.5
about 2 months ago 7 months ago
Python Java
MIT License Apache License 2.0
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.

nptyping

Posts with mentions or reviews of nptyping. We have used some of these posts to build our list of alternatives and similar projects.

optapy

Posts with mentions or reviews of optapy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-06.

What are some alternatives?

When comparing nptyping and optapy you can also consider the following projects:

Crab - Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

or-tools - Google's Operations Research tools:

rwa - Machine Learning on Sequential Data Using a Recurrent Weighted Average

scikit-learn - scikit-learn: machine learning in Python

tensorflow - An Open Source Machine Learning Framework for Everyone

VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

Keras - Deep Learning for humans

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

gym - A toolkit for developing and comparing reinforcement learning algorithms.

SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.