qgrid
ipydatagrid
| qgrid | ipydatagrid | |
|---|---|---|
| 6 | 1 | |
| 3,030 | 505 | |
| 0.3% | 2.4% | |
| 0.0 | 8.5 | |
| 4 months ago | 11 days ago | |
| Python | TypeScript | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" 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.
ipydatagrid
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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]
ipyaggrid - Using ag-Grid in Jupyter notebooks.
mito - The mitosheet package, trymito.io, and other public Mito code.
ipysheet - Jupyter handsontable integration
dtale - Visualizer for pandas data structures
ag-Grid - The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.
jupyterlab-spreadsheet - JupyterLab plugin for viewing spreadsheets, such as Excel .xls/.xlsx workbooks and OpenOffice .ods files
qgrid - A Clone of QGrid to Make Small Changes to keep it working with JupyterLab 3.0 and beyond
lux - Automatically visualize your pandas dataframe via a single print! 📊 💡
ngx-datatable - ✨ A feature-rich yet lightweight data-table crafted for Angular
jupyterlab-system-monitor - JupyterLab extension to display system metrics
debugger - A visual debugger for Jupyter notebooks, consoles, and source files