PySpark-Boilerplate VS tdigest

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

tdigest

t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark (by CamDavidsonPilon)
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PySpark-Boilerplate tdigest
1 -
390 376
- -
2.5 0.0
3 months ago 12 months ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

tdigest

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

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

What are some alternatives?

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

ibis - the portable Python dataframe library

t-digest - A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means

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

dpark - Python clone of Spark, a MapReduce alike framework in Python

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

distributed - A distributed task scheduler for Dask

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

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

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.

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