Glide Data Grid
buckaroo
Glide Data Grid | buckaroo | |
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17 | 10 | |
3,423 | 158 | |
1.7% | - | |
8.9 | 8.9 | |
3 days ago | 13 days ago | |
TypeScript | Jupyter Notebook | |
MIT License | BSD 3-clause "New" or "Revised" License |
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Glide Data Grid
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The Design Philosophy of Great Tables (Software Package)
Why do you want to render to canvas?
Perspective seems to be the most performant html table. It is more focused on extremely fast updates than styling, although it looks good.
Glide is a newcomer that also renders to canvas.
https://github.com/finos/perspective
https://github.com/glideapps/glide-data-grid
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Rendering a Million Rows in React by Drawing
What we are trying to build is a component that will help us to render a million rows in a ReactJs App. We make use of several techniques that are being used by other products such as google sheets and glide data grid app to achieve it.
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New Renderers for GTK
Can you give examples of better JS renderers?
What is needed for performance of traditional GUI app rendering? I'm particularly interested in table rendering. Glide and Perspective are both canvas based renderers, but I haven't dug into the internals.
[1] https://github.com/glideapps/glide-data-grid
[2] https://github.com/finos/perspective
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React Data Grid VS Glide Data Grid - a user suggested alternative
2 projects | 8 Jun 2022
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Glide Data Grid 4.0! Thank you all for your help :)
Much much more...
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Show HN: Datagridxl2.js – No-nonsense fast Excel-like data table library
We ran into the same issue! We actually implemented a feature we joking call clown-car scrolling to handle this. If you want to steal the basics of it you can see it here: https://github.com/glideapps/glide-data-grid/blob/main/packa...
Feel free to steal and improve, we only enable the clown-car mode when the desired scrollable area is larger than what a browser can support. With our implementation scrolling is still handled by the browser, but the scroll location can be subtly recomputed as you go from time to time. We only do this when interacting with the scrollbar directly to avoid weird artifacts like scrolling feeling faster than normal.
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Synchronous scrolling for two or more data grids
I maintain glide-data-grid. I'd love to be in consideration for your use case. If you have features that are not supported in our current or the upcoming 4.0.0 release I would love to hear about it.
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Looking for the best React table component to implement.
Try Glide data grid
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Data Grid 3.0 — bigger, better, faster!
Homepage
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Fast, smooth React Data Grid
Home Page / try it now
buckaroo
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PySheets – Spreadsheet UI for Python
I created buckaroo [1] as a better dataframe viewer for jupyter with built in summary stats. It's built to bring a better dataframe experience to people already using pandas/polars. All of it is extensible [2] so that you can customize stats and transformations to your workflow.
[1] https://github.com/paddymul/buckaroo
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The Design Philosophy of Great Tables (Software Package)
Great tables has done some really nice work on python/jupyter tables. It looks like they are almost building a "grammar of tables" similar to a grammar of graphics. More projects should write about their philosophy and aims like this.
I have built a different table library for jupyter called buckaroo. My approach has been different. Buckaroo aims to allow you to interactively cycle through different formats and post-processing functions to quickly glean important insights from a table while working interactively. I took the view that I type the same commands over and over to perform rudimentary exploratory data analysis, those commands and insights should be built into a table.
Great tables seems built so that you can manually format a table for presentation.
https://github.com/paddymul/buckaroo
https://youtu.be/GPl6_9n31NE
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Ask HN: Problems worth solving with a low-code back end?
JLisp.
3. It was very easy to define new lowcode commands, and have the frontend add them to the palette. Each command defines two methods "transform" which manipulates the dataframe, and "transform_to_py" which takes the same arguments but emits python code.
Adoption of my library in general, and the low code UI specifically has been very limited. I'm in the middle of plumbing the lowcode support back in after a refactor of other parts.
I would like to build a whole ecosystem around JLisp and Buckaroo. Specifically I have some "auto-cleaning" functionality that emits JLisp cleaning and normalization commands, these commands can then be editted in the UI (delete, edit parameters). It's easier to emit JLisp than raw python syntax, it's also much easier to make a UI to manipulate it.
Do you have a repo to look at? What usecase did you have in mind when you were building it?
If I were evaluating a low-code backend builder I'd be interested in the examples, and tests. Hopefully the tests would double as examples. For a Workflow type low-code-builder I'd be most interested in the cron functionality.
[1] https://github.com/paddymul/buckaroo
[2] http://norvig.com/lispy2.html
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How to Write a (Lisp) Interpreter (In Python)
I used Norvig’s lisp2.py to build a low code UI. I modified the interpreter to accept JSON flavored lisp, basically replace parens with brackets. The upside is that it was very very easy to make a react front end that manipulates JSON (JLisp). My thinking was, I need a serialization format for operations from the front end, and a way to interpret them. I could write my own language that no one has heard of, or use lisp, which few have used.
https://github.com/paddymul/buckaroo/blob/main/buckaroo/jlis...
- Show HN: The Buckaroo Data Table for Jupyter
- Buckaroo – the data wrangling assistant for Pandas
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Ask HN: Who wants to be hired? (October 2023)
Location: Boston
Remote: Yes
Willing to relocate: Yes
Technologies: talking to users, python, pandas/numpy, jupyter, js/ts
Résumé/CV: https://www.linkedin.com/in/paddymullen/
Email: [email protected]
In my next role, I want a broad mandate to make a meaningful impact within an organization by developing products that address genuine business challenges, with a preference for data related problems.
Recently I built the data table for Jupyter/Pandas that I have wanted for over a decade. The open source Buckaroo (https://github.com/paddymul/buckaroo) data table combines a performant table, summary statistics, and a low code UI to expedite common data analysis tasks.
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Ask HN: Who wants to be hired? (September 2023)
wanted for over a decade. The open source Buckaroo https://github.com/paddymul/buckaroo data table combines a performant table, summary statistics, and a low code UI to
- Ask HN: Who wants to be hired? (June 2023)
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Pandas AI – The Future of Data Analysis
This morning I added a "Related Projects" [3] Section to the Buckaroo docs. If Buckaroo doesn't solve your problem, look at one of the other linked projects (like Mito).
[1] https://github.com/approximatelabs/sketch
[2] https://github.com/paddymul/buckaroo
[3] https://buckaroo-data.readthedocs.io/en/latest/FAQ.html
What are some alternatives?
React Data Grid - Feature-rich and customizable data grid React component
electron-orbitals - Hydrogen electron orbitals, and the software to render them.
ag-Grid - The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.
resume
react-data-table - A responsive table library with built-in sorting, pagination, selection, expandable rows, and customizable styling.
resume - My résumé.
react-cool-virtual - 😎 ♻️ A tiny React hook for rendering large datasets like a breeze.
applin-rails-demo - Example of how to use applin-rails.
ka-table - Lightweight MIT React Table component with Sorting, Filtering, Grouping, Virtualization, Editing and many more
resume - My latest resume
canvas-datagrid - Canvas based data grid web component. Capable of displaying millions of contiguous hierarchical rows and columns without paging or loading, on a single canvas element.
resume