PandasGUI VS koalas

Compare PandasGUI vs koalas and see what are their differences.

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PandasGUI koalas
8 2
3,131 3,319
- 0.2%
4.3 4.6
5 months ago about 1 month ago
Python Python
MIT No Attribution 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.

PandasGUI

Posts with mentions or reviews of PandasGUI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-31.

koalas

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

What are some alternatives?

When comparing PandasGUI and koalas you can also consider the following projects:

dtale - Visualizer for pandas data structures

Dask - Parallel computing with task scheduling

pandastable - Table analysis in Tkinter using pandas DataFrames.

datacompy - Pandas and Spark DataFrame comparison for humans and more!

seaborn - Statistical data visualization in Python

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

modin - Modin: Scale your Pandas workflows by changing a single line of code

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

plotnine - A Grammar of Graphics for Python

fastdbfs - fastdbfs - An interactive command line client for Databricks DBFS.

Altair - Declarative statistical visualization library for Python

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.