PySpark-Boilerplate VS Optimus

Compare PySpark-Boilerplate vs Optimus and see what are their differences.

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PySpark-Boilerplate Optimus
1 -
390 1,446
- 1.2%
2.5 1.9
3 months ago 14 days 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.

PySpark-Boilerplate

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

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.

What are some alternatives?

When comparing PySpark-Boilerplate and Optimus you can also consider the following projects:

ibis - the portable Python dataframe library

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).

cookiecutter-django - Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.

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

etl-markup-toolkit - ETL Markup Toolkit is a spark-native tool for expressing ETL transformations as configuration

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

soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

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

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.

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

tdigest - t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark

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