Apache-Spark-Guide VS anovos

Compare Apache-Spark-Guide vs anovos and see what are their differences.

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Apache-Spark-Guide anovos
2 1
28 77
- -
1.8 0.0
over 2 years ago about 1 year ago
Python Jupyter Notebook
- GNU General Public License v3.0 or later
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.

Apache-Spark-Guide

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

anovos

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

What are some alternatives?

When comparing Apache-Spark-Guide and anovos you can also consider the following projects:

pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.

Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data - Mobile robot data were analyzed with Apache-Spark to extract five different statistical result such as travel time, waiting time, average speed, occupancy and density were produced.

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

livyc - Apache Spark as a Service with Apache Livy Client

feast - Feature Store for Machine Learning

project-atlas-sao-paulo - A project for the development of rich geospatial data from the city of São Paulo for use in Machine Learning models.

Patek - A collection of reusable pyspark utility functions that help make development easier!

pyspark-tutorial - PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformations and Actions, Spark DataFrame, Spark SQL, and more. It is completely free on YouTube and is beginner-friendly without any prerequisites.