python-recsys VS bodywork

Compare python-recsys vs bodywork and see what are their differences.

python-recsys

A python library for implementing a recommender system (by ocelma)

bodywork

ML pipeline orchestration and model deployments on Kubernetes. (by bodywork-ml)
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python-recsys bodywork
0 8
1,468 430
- -
0.0 0.0
about 3 years ago 7 months ago
Python Python
http://www.gnu.org/copyleft/gpl.html GNU Affero General Public License v3.0
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.

python-recsys

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

We haven't tracked posts mentioning python-recsys yet.
Tracking mentions began in Dec 2020.

bodywork

Posts with mentions or reviews of bodywork. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-17.

What are some alternatives?

When comparing python-recsys and bodywork you can also consider the following projects:

Surprise - A Python scikit for building and analyzing recommender systems

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).

Keras - Deep Learning for humans

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

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

Clairvoyant - Software designed to identify and monitor social/historical cues for short term stock movement

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

NuPIC - Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

gensim - Topic Modelling for Humans

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow