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MLlib VS PyCaret

Compare MLlib VS PyCaret and see what are their differences

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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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MLlib logo MLlib

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.

PyCaret logo PyCaret

open source, low-code machine learning library in Python
  • MLlib Landing page
    Landing page //
    2023-06-12
  • PyCaret Landing page
    Landing page //
    2022-03-19

MLlib videos

+ Add

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 ]

PyCaret videos

+ Add

Quick tour of PyCaret (a low-code machine learning library in Python)

More videos:

  • Review - Automate Anomaly Detection Using Pycaret -Data Science And Machine Learning
  • Review - Machine Learning in Power BI with PyCaret- Podcast With Moez- Author Of Pycaret

Category Popularity

0-100% (relative to MLlib and PyCaret)

MLlib

PyCaret

Data Science And Machine Learning
70 70%
Data Science And Machine Learning
30% 30
Data Science Tools
70 70%
Data Science Tools
30% 30
Python Tools
92 92%
Python Tools
8% 8
Machine Learning
0 0%
Machine Learning
100% 100

User comments

Share your experience with using MLlib and PyCaret. For example, how are they different and which one is better?
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Social recommendations and mentions

PyCaret might be a bit more popular than MLlib. We know about 2 links to it since March 2021 and only 2 links to MLlib. 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.

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

PyCaret mentions (2)

  • How to know what algorithm to apply? THEORY
    Anyway, nowadays there are autoML python packages that once you defined what type of problem you have to solve (e.g. regression, classification) , they automatically train differnt models at once and calculate the best performance. I used a lot the library Pycaret . Source: over 1 year ago
  • 👌 Zero feature engineering with Upgini+PyCaret
    PyCaret - Low-code machine learning library in Python that automates machine learning workflows. Source: almost 2 years ago

What are some alternatives?

When comparing MLlib and PyCaret, 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.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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

OpenCV - OpenCV is the world's biggest computer vision library

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