popmon VS datacompy

Compare popmon vs datacompy and see what are their differences.

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popmon datacompy
1 4
486 386
0.6% 8.8%
6.9 7.5
3 months ago 1 day ago
Python Python
MIT License 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.

popmon

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

datacompy

Posts with mentions or reviews of datacompy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-26.

What are some alternatives?

When comparing popmon and datacompy you can also consider the following projects:

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

koalas - Koalas: pandas API on Apache Spark

cape-dataframes - Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.

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.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

data-diff - Compare tables within or across databases

dbt-audit-helper - Useful macros when performing data audits

lifetimes - Lifetime value in Python

visualiza - A general-purpose dynamic data visualizer.

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

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