buckaroo
streamlit
buckaroo | streamlit | |
---|---|---|
10 | 258 | |
161 | 32,222 | |
- | 3.5% | |
8.9 | 9.8 | |
about 1 month ago | 2 days ago | |
Jupyter Notebook | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
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
streamlit
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Developing a Generic Streamlit UI to Test Amazon Bedrock Agents
I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with.
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Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
Streamlit (https://streamlit.io/)
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PySheets – Spreadsheet UI for Python
Does it need to be live (i.e when database or underlying spreadsheet updates does it need to be reflected in real time on the dashboard) or are you ok with static display.
Live updating data is a pain I've messed around using javascript to force refresh html iframes on a timer. But I was never really satisfied with this. I've heard you can do things with websockets but that is starting to get too complicated for me (I'm not a programmer).
For static stuff one of the data scientists in my org pointed me to Streamlit (https://streamlit.io/) it's a python package I found very easy to use. Can easily combine SQL with CSV imports and display them all on one dashboard. Can use forms toggle butotns etc to control the display.
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Building an Email Assistant Application with Burr
Note that there are many tools that make this easier/simpler to prototype, including chainlit, streamlit, etc… The backend API we built is amenable to interacting with them as well.
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Creating a Sales Analysis Application with Streamlit: A Practical Approach to Business Intelligence
2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository.
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🦙 Llama-2-GGML-CSV-Chatbot 🤖
Developed using Langchain and Streamlit technologies for enhanced performance.
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Python dev considering Electron vs. Kivy for desktop app UI
Hello,
Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for.
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Show HN: Buefy Web Components for Streamlit
While building dashboards in Streamlit, I found myself really missing Buefy's (Bulma) modern web components.
Specially due to the inability to add new values to Streamlit's multiselect [1], some missing controls like a polished image carousel [2] or a highly customizable data table.
Long story short, we put together streamfy (Streamlit + Buefy) as an MIT licensed project in GitHub to bring Buefy to Streamlit.
Demo: https://streamfy.streamlit.app
All the form components are implemented, missing half of other non-form UX components. There is plenty of room for PRs, testing, feedback, documentation, example, etc.
Please send issues and contributions to GitHub project [3] and general feedback to X / Twitter [4]
Thanks!
[1] https://github.com/streamlit/streamlit/issues/5348
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Simplify Web App Development: Code Lite, Create Big!
Here's your savior, let's welcome Streamlit.
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Show HN: Hyperdiv – Reactive, immediate-mode web UI framework for Python
Looks cool. How do you see this differing from streamlit? https://streamlit.io/
What are some alternatives?
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resume - My résumé.
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reflex - 🕸️ Web apps in pure Python 🐍
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