distributed VS tdigest

Compare distributed 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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distributed tdigest
3 -
1,543 376
0.6% -
9.6 0.0
1 day ago about 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License 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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distributed

Posts with mentions or reviews of distributed. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-17.

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 distributed and tdigest you can also consider the following projects:

mpire - A Python package for easy multiprocessing, but faster than multiprocessing

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

cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale

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

legate.pandas - An Aspiring Drop-In Replacement for Pandas at Scale

PySpark-Boilerplate - A boilerplate for writing PySpark Jobs

go-micro - A Go microservices framework

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

FindTheMag - A tool to determine optimal projects for Gridcoin crunchers. Maximize your magnitude!

DataProfiler - What's in your data? Extract schema, statistics and entities from datasets

Dask - Parallel computing with task scheduling

next-runtime - The Next.js Runtime allows Next.js to run on Netlify with zero configuration