qgrid
vegafusion
| qgrid | vegafusion | |
|---|---|---|
| 6 | 2 | |
| 3,030 | 292 | |
| 0.3% | 3.4% | |
| 0.0 | 8.6 | |
| 4 months ago | 29 days ago | |
| Python | Rust | |
| 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.
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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.
vegafusion
- VegaFusion
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Mito – Excel-like interface for Pandas dataframes in Jupyter notebook
One cool library I saw recently for helping on the visualisation side is https://github.com/vegafusion/vegafusion
It allows you to use Altair in Python for visualising data, but does the computation in the backend using Arrow DataFusion. Not for 15GB perhaps, but cool nonetheless.
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]
dtale - Visualizer for pandas data structures
mito - The mitosheet package, trymito.io, and other public Mito code.
lux - Automatically visualize your pandas dataframe via a single print! 📊 💡
Altair - Declarative statistical visualization library for Python
ipydatagrid - Fast Datagrid widget for the Jupyter Notebook and JupyterLab
jupyterlab-spreadsheet - JupyterLab plugin for viewing spreadsheets, such as Excel .xls/.xlsx workbooks and OpenOffice .ods files
datasette - An open source multi-tool for exploring and publishing data
pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]