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python-recsys VS MLlib

Compare python-recsys VS MLlib and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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python-recsys logo python-recsys

python-recsys is a python library for implementing a recommender system.

MLlib logo MLlib

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.
  • python-recsys Landing page
    Landing page //
    2023-10-07
  • MLlib Landing page
    Landing page //
    2023-06-12

python-recsys videos

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MLlib videos

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Using Spark Mllib Models in a Production Training and Serving Platform Experiences and ExtensionsA

More videos:

  • Review - Spark MLlib
  • Review - Announcement: LIVE on 26th July [ Spark SQL & MLLib ]

Category Popularity

0-100% (relative to python-recsys and MLlib)

python-recsys

MLlib

Data Science And Machine Learning
24 24%
Data Science And Machine Learning
76% 76
Data Science Tools
21 21%
Data Science Tools
79% 79
Data Dashboard
100 100%
Data Dashboard
0% 0
Python Tools
0 0%
Python Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, MLlib seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

python-recsys mentions (0)

We have not tracked any mentions of python-recsys yet. Tracking of python-recsys recommendations started around Mar 2021.

MLlib mentions (2)

  • Predicting Diabetes In Patients - Apache Spark Machine Learning - 4 Easy Steps To Do This!
    The MLlib library gives us a very wide range of available Machine Learning algorithms and additional tools for standardisation, tokenisation and many others (for more information visit the official website Apache Spark MLlib). (Apache Spark Machine Learning predicting diabetes in patients). Source: about 2 years ago
  • How to distribute ML tasks across CPU and GPU?
    Totally agree with the current responses, especially for the purposes of understanding exactly what's going on under the hood, but did want to just call out the fact that you can simply use a machine learning library that's implemented in a distributed way. Examples would be MLlib From Spark and h2o. H2O in particular will take care of pretty much everything for you in terms of initializing a cluster, and has a... Source: about 2 years ago

What are some alternatives?

When comparing python-recsys and MLlib, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

NumPy - NumPy is the fundamental package for scientific computing with Python

Amazon Forecast - Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

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