Crab VS nptyping

Compare Crab vs nptyping and see what are their differences.

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). (by muricoca)

nptyping

💡 Type hints for Numpy and Pandas (by ramonhagenaars)
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Crab nptyping
- 1
1,173 538
-0.4% -
0.0 0.0
over 3 years ago about 2 months ago
Python Python
OSI Approved 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.

Crab

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

We haven't tracked posts mentioning Crab yet.
Tracking mentions began in Dec 2020.

nptyping

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

What are some alternatives?

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

Surprise - A Python scikit for building and analyzing recommender systems

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

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

tensorflow - An Open Source Machine Learning Framework for Everyone

python-recsys - A python library for implementing a recommender system

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

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

Keras - Deep Learning for humans

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

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.