TUI-apps
streamlit
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TUI-apps | streamlit | |
---|---|---|
26 | 257 | |
491 | 31,717 | |
- | 4.3% | |
5.9 | 9.8 | |
3 days ago | 1 day ago | |
Python | Python | |
MIT 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.
TUI-apps
- Show HN: Interactive GNU Awk tutorial for beginners (TUI app)
- Show HN: Interactive TUI App for Python Regex Exercises
- Show HN: Interactive exercises for GNU grep, sed and Awk
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Show HN: CLI text processing with GNU sed (eBook)
Hello!
I am pleased to announce a new version of my "CLI text processing with GNU sed" ebook. This book heavily leans on examples to present features one by one. In addition to sed commands and options, regular expressions are also discussed in detail.
Links:
* PDF/EPUB versions: https://learnbyexample.gumroad.com/l/gnu_sed (free for a few days)
* Web version: https://learnbyexample.github.io/learn_gnused/ (always free)
* Markdown source, example files, etc: https://github.com/learnbyexample/learn_gnused
* Interactive TUI app for exercises: https://github.com/learnbyexample/TUI-apps/blob/main/SedExercises
I would highly appreciate it if you'd let me know how you felt about this book. It could be anything from a simple thank you, pointing out a typo, mistakes in code snippets, which aspects of the book worked for you (or didn't!) and so on. Reader feedback is essential and especially so for self-published authors.
Happy learning :)
- Show HN: Interactive TUI app for Python regex exercises
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Learn GNU grep and ripgrep with hundreds of examples and exercises
I also wrote an interactive TUI app based on some of the exercises from the ebook. Reference solutions are provided for both GNU grep and ripgrep.
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Good project to make the transition from terminal to GUI?
These days I prefer coding TUI apps using Textual (see my repo https://github.com/learnbyexample/TUI-apps for examples) since I find this framework easier to work with and I don't need full GUI features for my projects.
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What are some good online resources with regex problems (and solutions)?
This year I started updating my existing books and I'm also creating interactive apps. Here's one for Python regex: https://github.com/learnbyexample/TUI-apps/blob/main/PyRegexExercises. Next is grep.
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TUI app with 100+ interactive Python Regex exercises
Having an interactive program that automatically loads questions and checks the solution is wonderful to have while learning a topic. I wrote a TUI app that has beginner to advanced level exercises for Python regular expressions. There are more than 100 exercises covering both the builtin re and third-party regex modules.
- Show HN: Interactive Exercises for Python Regular Expressions
streamlit
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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/
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Revolutionizing Real-Time Alerts with AI, NATs and Streamlit
Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.
What are some alternatives?
textual - The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
PyWebIO - Write interactive web app in script way.
epy - CLI Ebook (epub2, epub3, fb2, mobi) Reader
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
bubbletea - A powerful little TUI framework 🏗
nicegui - Create web-based user interfaces with Python. The nice way.
pydantic - Data validation using Python type hints
superset - Apache Superset is a Data Visualization and Data Exploration Platform
dagster - An orchestration platform for the development, production, and observation of data assets.
reflex - 🕸️ Web apps in pure Python 🐍
learn_gnused - Example based guide to mastering GNU sed
PySimpleGUI - Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.