vegafusion
Serverside scaling for Vega and Altair visualizations (by vega)
qgrid
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks (by quantopian)
vegafusion | qgrid | |
---|---|---|
2 | 6 | |
295 | 3,031 | |
4.4% | 0.3% | |
8.6 | 0.0 | |
4 days ago | 4 months ago | |
Rust | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
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.
vegafusion
Posts with mentions or reviews of vegafusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-20.
- VegaFusion
-
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.
qgrid
Posts with mentions or reviews of qgrid.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-24.
-
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
-
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.
What are some alternatives?
When comparing vegafusion and qgrid you can also consider the following projects:
dtale - Visualizer for pandas data structures
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]