Optimus VS Apache-Spark-Guide

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

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Optimus Apache-Spark-Guide
- 2
1,446 26
1.2% -
1.9 1.8
14 days ago about 2 years ago
Python Python
Apache License 2.0 -
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.

Optimus

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

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

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.

What are some alternatives?

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

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

anovos - Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

sweetviz - Visualize and compare datasets, target values and associations, with one line of code.

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

ga-extractor - Tool for extracting Google Analytics data suitable for migrating to other platforms/databases

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.

zef - Toolkit for graph-relational data across space and time

livyc - Apache Spark as a Service with Apache Livy Client

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

flashtext - Extract Keywords from sentence or Replace keywords in sentences.

feast - Feature Store for Machine Learning