buckaroo
django-tables2
buckaroo | django-tables2 | |
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10 | 14 | |
160 | 1,806 | |
- | - | |
8.9 | 6.9 | |
24 days ago | 29 days ago | |
Jupyter Notebook | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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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
django-tables2
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The Design Philosophy of Great Tables (Software Package)
How does this compare to https://github.com/jieter/django-tables2? That one makes it really easy to display database models with column sorting and pagination.
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[Discussion] What crates would you like to see?
The degree of reusability (Thanks to things like GenericForeignKey and the ubiquity of Django Templates and Django ORM, there are tons of reusable components like django-filter or django-tables)
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Is there a package to render table from linq result?
In Django there is django-tables2 for example, that creates html table from database query.
- What is your favourite (or the most modern) way to render ModelForm data in HTML?
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Batteries-included web-frameworks in Rust
(eg. "Django apps" like django-filter and django-tables2, which rely on being a slice across the ORM, controller layer, and templating engine.)
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django-tables2 : would investing time in docs benefit community?
From the readthedocs tutorial, A few examples:
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What is lacking in Rust ecosystem?
I don't see how Axum would enable something like django-tables2 or django-filter which has is vertically integrated with Django's ORM, routing layer, and template system.
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anyone using rust in production? what do you do?
I've used actix-web for stuff... but I'm just sick of constantly reinventing the rote boilerplate that things like django-tables2 and django-filter generate for me once I've declared whatever customizations I want.
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what are 3 django packages everyone should know about?
django-tables2 - like crispy forms but for tables, abstracts away the need to render tables in a template.
- I have a table on my website I need to able to search and return results inside the table.
What are some alternatives?
electron-orbitals - Hydrogen electron orbitals, and the software to render them.
htmx - </> htmx - high power tools for HTML
resume
tauri - Build smaller, faster, and more secure desktop applications with a web frontend.
resume - My résumé.
django-crispy-forms - The best way to have DRY Django forms. The app provides a tag and filter that lets you quickly render forms in a div format while providing an enormous amount of capability to configure and control the rendered HTML.
applin-rails-demo - Example of how to use applin-rails.
bonsai - A library for building dynamic webapps, using Js_of_ocaml
resume - My latest resume
django-rest-framework - Web APIs for Django. 🎸
resume
natsort - Simple yet flexible natural sorting in Python.