tdigest VS dpark

Compare tdigest vs dpark 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)
Python percentile quantile estimate Pyspark Distributed Computing MapReduce
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dpark

Python clone of Spark, a MapReduce alike framework in Python (by douban)
MapReduce Bigdata Dpark Stream Processing Spark Python
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tdigest dpark
- -
376 2,691
- 0.0%
0.0 0.0
12 months ago over 3 years ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
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.

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.

dpark

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

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

What are some alternatives?

When comparing tdigest and dpark you can also consider the following projects:

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

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

distributed - A distributed task scheduler for Dask

mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services

PySpark-Boilerplate - A boilerplate for writing PySpark Jobs

streamparse - Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.

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

dumbo - Python module that allows one to easily write and run Hadoop programs.

luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

tdigest vs t-digest dpark vs Apache Spark tdigest vs distributed dpark vs mrjob tdigest vs PySpark-Boilerplate dpark vs streamparse tdigest vs etl-markup-toolkit dpark vs dumbo dpark vs luigi dpark vs data-science-ipython-notebooks