data-science-ipython-notebooks VS datacompy

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

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)

datacompy

Pandas and Spark DataFrame comparison for humans and more! (by capitalone)
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data-science-ipython-notebooks datacompy
1 4
26,459 382
- 8.9%
0.0 7.4
about 1 month ago 7 days ago
Python Python
GNU General Public License v3.0 or later 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.

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.

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

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

koalas - Koalas: pandas API on Apache Spark

BirdNET - Soundscape analysis with BirdNET.

data-diff - Compare tables within or across databases

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

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

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

visualiza - A general-purpose dynamic data visualizer.

sports-betting - Collection of sports betting AI tools.

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

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

diffable-sql