qgrid
ipysheet
| qgrid | ipysheet | |
|---|---|---|
| 6 | 1 | |
| 3,030 | 536 | |
| 0.3% | 0.2% | |
| 0.0 | 3.9 | |
| 4 months ago | 4 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
qgrid
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Using spreadsheet widgets in Jupyter notebooks
There are a bunch of projects which seem to offer spreadsheet-style widgets for editing and presenting CSV and similar data in Jupyter: mitosheet, qgrid (abandoned?), jupyterlab-spreadsheet-editor, ipysheet (deprecated?), ipydatagrid, and ipyaggrid (and maybe others?). So far, mitosheet looks like the most flexible, featureful and up-to-date. Has anyone used these and can compare how useful they've been in practice? Or does anyone have some I've missed and should check out?
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How do I get my Jupyter Notebook to look more tabular like I see in tutorials vs the raw text output (and I guess what are they called?
you can check qgrid https://github.com/quantopian/qgrid
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Mito – Excel-like interface for Pandas dataframes in Jupyter notebook
I played around with many of these before:
https://github.com/quantopian/qgrid
- Best extensions for JupyterLab!!
- Replacing Jupyter Notebook with Org Mode
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Mito Write Python 10x faster by editing a spreadsheet
This looks like a copy of qgrid (https://github.com/quantopian/qgrid), which is open source and free.
ipysheet
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Using spreadsheet widgets in Jupyter notebooks
There are a bunch of projects which seem to offer spreadsheet-style widgets for editing and presenting CSV and similar data in Jupyter: mitosheet, qgrid (abandoned?), jupyterlab-spreadsheet-editor, ipysheet (deprecated?), ipydatagrid, and ipyaggrid (and maybe others?). So far, mitosheet looks like the most flexible, featureful and up-to-date. Has anyone used these and can compare how useful they've been in practice? Or does anyone have some I've missed and should check out?
What are some alternatives?
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol [Moved to: https://github.com/jupyter-lsp/jupyterlab-lsp]
ipydatagrid - Fast Datagrid widget for the Jupyter Notebook and JupyterLab
mito - The mitosheet package, trymito.io, and other public Mito code.
quo - 🚦🛠️⚙️Quo, a toolkit for writing Command-Line Interface applications and a Text User Interface framework for Python.
dtale - Visualizer for pandas data structures
PyQt-Fluent-Widgets - A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.
quibbler - Your data - interactive!
jupyterlab-spreadsheet - JupyterLab plugin for viewing spreadsheets, such as Excel .xls/.xlsx workbooks and OpenOffice .ods files
gswidgetkit - Custom widget toolkit for easier creation of customized wxPython GUIs
lux - Automatically visualize your pandas dataframe via a single print! 📊 💡
ipyaggrid - Using ag-Grid in Jupyter notebooks.