[PR #1719] Add D-Tale #1493

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GiteaMirror · 2025-11-06T13:17:23-06:00

GiteaMirror commented

2025-11-06 13:17:23 -06:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/1719
Author: @aschonfeld
Created: 1/22/2021
Status: 🔄 Open

Base: master ← Head: add_dtale

📝 Commits (1)

de009b6 Add D-Tale

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with jupyter notebooks & python/jupyter terminals. Currently this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex.

What's the difference between this Python project and similar ones?

As far as I can tell there isn't anything for Exploratory Data Analysis on awesome-python yet so this might be in its own class. The difference between this project and the ones in Data Visualization is that this one will allow users to apply a GUI to their pandas objects w/ one line of code dtale.show(df). This GUI comes complete with the following key features:

Smooth grid for sorting, filtering, selecting & editing
Chart builder created on top of plotly-dash
Network analysis using a combination of networkx & the JS package vis-network
Code exports so you can learn pandas as you perform operations
This package can also be integrated into your own Streamlit notebooks & Flask or Django applications. There are links to detailed instructions on how to do both in the README.

--

Anyone who agrees with this pull request could submit an Approve review to it.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/1719 **Author:** [@aschonfeld](https://github.com/aschonfeld) **Created:** 1/22/2021 **Status:** 🔄 Open **Base:** `master` ← **Head:** `add_dtale` --- ### 📝 Commits (1) - [`de009b6`](https://github.com/vinta/awesome-python/commit/de009b67abad89614be0a709c076952351711232) Add D-Tale ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with jupyter notebooks & python/jupyter terminals. Currently this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex. ## What's the difference between this Python project and similar ones? As far as I can tell there isn't anything for Exploratory Data Analysis on awesome-python yet so this might be in its own class. The difference between this project and the ones in Data Visualization is that this one will allow users to apply a GUI to their pandas objects w/ one line of code `dtale.show(df)`. This GUI comes complete with the following key features: * Smooth grid for sorting, filtering, selecting & editing * Chart builder created on top of `plotly-dash` * Network analysis using a combination of `networkx` & the JS package `vis-network` * Code exports so you can learn pandas as you perform operations This package can also be integrated into your own Streamlit notebooks & Flask or Django applications. There are links to detailed instructions on how to do both in the README. -- Anyone who agrees with this pull request could submit an *Approve* review to it. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2025-11-06 13:17:23 -06:00

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Reference: github-starred/awesome-python#1493