dumbo VS dpark

Compare dumbo vs dpark and see what are their differences.

dumbo

Python module that allows one to easily write and run Hadoop programs. (by klbostee)

dpark

Python clone of Spark, a MapReduce alike framework in Python (by douban)
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dumbo dpark
0 0
1,047 2,684
- 0.2%
0.0 0.0
over 4 years ago almost 2 years ago
Python Python
Apache License 2.0 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.

dumbo

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

We haven't tracked posts mentioning dumbo 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 dumbo and dpark you can also consider the following projects:

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

mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services

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

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