tablexplore VS sweetviz

Compare tablexplore vs sweetviz and see what are their differences.

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Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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tablexplore sweetviz
1 1
127 2,981
- 0.5%
2.7 3.9
over 1 year ago 7 months ago
Python Python
GNU General Public License v3.0 only MIT 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.

tablexplore

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

sweetviz

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

What are some alternatives?

When comparing tablexplore and sweetviz you can also consider the following projects:

pandastable - Table analysis in Tkinter using pandas DataFrames.

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

Solomon - Data Exploration tool.

dataprep - Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

PyFlow - Visual scripting framework for python

pandera - A light-weight, flexible, and expressive statistical data testing library

examples - Learn to create a desktop app with Python and Qt

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

hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

dtale-desktop - Build a data visualization dashboard with simple snippets of python code

PyQt-Fluent-Widgets - A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.

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

CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
nutrient.io
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