Solomon VS tablexplore

Compare Solomon vs tablexplore and see what are their differences.

tablexplore

Table analysis and plotting application written in PySide2/PyQt5 (by dmnfarrell)
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Solomon tablexplore
2 1
1 114
- -
10.0 2.7
about 1 year ago 10 months ago
Python Python
MIT License GNU General Public License v3.0 only
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.

Solomon

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

tablexplore

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

What are some alternatives?

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

eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

pandastable - Table analysis in Tkinter using pandas DataFrames.

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

PyFlow - Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow

visualiza - A general-purpose dynamic data visualizer.

haystack-search-pipeline-streamlit - 🚀 Template Haystack Search Application with Streamlit

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

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

DataProfiler - What's in your data? Extract schema, statistics and entities from datasets