datacompy VS data-science-ipython-notebooks

Compare datacompy vs data-science-ipython-notebooks and see what are their differences.

datacompy

Pandas and Spark DataFrame comparison for humans and more! (by capitalone)

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. (by donnemartin)
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datacompy data-science-ipython-notebooks
4 1
382 26,459
8.9% -
7.4 0.0
5 days ago about 1 month ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

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.

data-science-ipython-notebooks

Posts with mentions or reviews of data-science-ipython-notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-27.

What are some alternatives?

When comparing datacompy and data-science-ipython-notebooks you can also consider the following projects:

koalas - Koalas: pandas API on Apache Spark

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

data-diff - Compare tables within or across databases

BirdNET - Soundscape analysis with BirdNET.

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

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

visualiza - A general-purpose dynamic data visualizer.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎

sports-betting - Collection of sports betting AI tools.

diffable-sql

PMapper - A tool for quickly evaluating IAM permissions in AWS.