uvx taui@latest built on @textualizeio

nless 是个很实用的 TUI 工具，被称为「终端里的 Excel」。 它能把 logs、CSV、JSON 等数据转换成列式表格，在终端里直接进行过滤、排序、搜索，还支持实时流式数据查看。 用 @textualizeio 构建，交互体验比较丝滑，适合大量时间在终端里处理日志、监控数据、分析结构化数据的开发者。 不用切到浏览器或 Excel，就能快速探索和分析数据，挺符合 terminal-native 的工作流。

I have always wanted a nice Python debugger in the terminal, so I am building one using @textualizeio. As far as I know nothing like this exists. If anyone knows of any similar projects, please let me know! #Python #pythonlearning

🌸 It's been in my "to try" list for years, but I finally checked out @textualizeio as a complement to Streamlit Clearly I've been out of the loop, what do you mean there is Textual CSS 👀 ? You got me curious, I have to dive deeper now...

Vibe coded a simple TUI browser for ZIM files using @textualizeio, libzim and markdownify. @Kimi_Moonshot K2.5 did really well, only needed a bit of steering to use uv instead of pip directly.

Just shipped my 1st PyPI pkg! 🚀 Using @textualizeio & new @github Copilot CLI SDK. conviertlo: TUI for image convertion/compression via NL. Type request → Copilot CLI generates FFMPEG command → Consults with you for command Execution → Execute. 👉️github.com/ricard0g/conviert…

terminaltrove.com/rovr rovr is finally on @terminaltrove! I was kind of hoping to get Tool of the Week, but fair enough, this isn't the most unique tool out there. Anyways, I got 20 stars from this!!

When I first saw the pyjsx project, I felt it would be a good companion to UI frameworks. So I tried textual, it turns out to be very fascinating, here it is. github.com/frostming/textual…

sqlit is a lazygit style SQL TUI for the terminal. It supports 10 databases (Postgres, SQLite, Supabase, ClickHouse, DuckDB, etc), has query history, autocomplete and more. Peter Adams (Maxteabag on GitHub) made sqlit using @textualizeio and is Terminal Tool of the Week! ⭐️

To get your boards on the market you will need some series testing and #flashing. Here is my @E14Community #opensource solution with @Raspberry_Pi @arduino cli and @textualizeio youtu.be/CyCpV5uCS1U?si=QJ0F…

rovr, a modern terminal file explorer inspired by superfile and windows explorer. built with @textualizeio . trying to get features to almost yazi, but I'm not quite there yet...

Just spent some time building a terminal-based trading dashboard using @textualizeio and I'm impressed with how powerful this library is for creating rich TUIs in Python. Soo many ways to leverage this and apply in other CLI apps I have.

@textualizeio I developed a TUI for changedetection github.com/grota/changedetec… I'm open for feedback

lue is a TUI ebook reader with text to speech (TTS) support. It reads EPUB / PDF / TXT files, supports 100 languages, highlights words in sync, saves your progress, has themes and more. @superstarryeyes made lue using Rich by @textualizeio and is Terminal Tool of the Week! ⭐️

More Diff View shenanigans. - The "annotations" ( and - symbols) are now toggleable. - Text selection works (don't select annotations) - Added an auto split option that switches to split view when there is enough space. It's actually quite hard to trigger the auto-split, which only activates when there is no possibility of cropping code. I suspect a better UX would be to provide an option to switch between unified and split view. WDYT?

Added real-time selection previews to the sharp-frames textual interface. Now you can actually know ahead of time how many frames you'll select for your 3DGS datasets. @textualizeio #GaussianSplatting

😂 I opened my laptop to “just try GPT-5 for the weekend” and accidentally built a Wireshark-with-a-copilot that lives in your terminal. Meet pktai! 🚀🤖📦💻 (pronounced as packet eh ay 😂) It’s a modern Textual TUI (via @textualizeio an on-device AI (via @ollama) that lets you: ⚡ Browse packets in a packet‑first UI (left pane) with expandable per‑layer details 🧠 Chat about your capture in plain English (Markdown answers, optional “thought process” expander) 🔎 Use Wireshark‑style display filters and slash commands 🗣️ Say “get me all NGAP packets” and it applies the filter for you (NL → filter) ⌨️ Fly with the keyboard—zero mouse, buttery smooth UX 🛑 Smash “Stop” to cancel in‑flight LLM replies Under the hood, it’s sneakily smart: 🧭 Agentic Orchestrator routes your intent across Chat, Packet, and Packet‑Filter agents ✅ Validates filters before applying, so you don’t nuke your view 🧩 In‑memory tokenizer parser evaluator for a practical Wireshark‑like subset (protocols, fields, ==/!=, &&/||, parentheses) 🌀 Inline spinner, 👤/🤖 avatars, soft‑wrapping logs, tight spacing, cancelable flows 🧠 LLMService abstraction (OpenAI‑compatible) talking to Ollama—model‑agnostic and swappable Bring your own local LLM: 🔧 Settings modal to pick model, tweak temperature/top_p, tokens How to start (60 seconds): 📦 pip install pktai OR uv add pktai 🧠 Optional: ollama run qwen3:latest ▶️ Run: pktai → press o to open .pcap/.pcapng 💬 Ask: “summarize traffic patterns” / “why the timeouts?” 🧪 Filter: /df ngap && sctp.dstport == 38412 🗣️ NL filter: “show only NGAP packets with dst port 38412” → instant apply Great for: 🛰️ 5G/NGAP/SCTP deep dives 🧑💻 Incident response & rapid triage 🧪 Lab analysis, demos, teaching 🛠️ Folks who love Wireshark filters and want an AI copilot—right in the terminal Your packets, your machine: 🔒 On‑device LLM via @ollama ⚡ Immediate filters, no context‑switching 🎯 Less hunting, more understanding Weekend project → terminal superpower. pktai: Wireshark‑style mastery meets an AI copilot. Star it ⭐, run it ▶️ and vibe analyse the packets 🪄. #pktai #Wireshark #pcap #Textual #Ollama #CyberSecurity #NetOps #DevTools #AI #LLM #TerminalTools #SRE

exosphere is a CLI and TUI tool for aggregated patch and security update reporting via SSH. It shows host status, displays distro updates across servers, pings connected hosts and more. Alexandre Gauthier made exosphere using @textualizeio & is Terminal Tool of the Week! ⭐️

Working on a bitchat tui client written in Python and @textualizeio

At the beginning of my coding journey, I struggled with git and @github, as many programmers do. Since git and GitHub are nowadays extremely important skills to have, I decided to create something that could help people execute git/gh commands in the CLI simply using natural language queries. I came up with 𝗴𝘂𝘁 (gut-ai.clelia.dev), an AI-powered tool that not only produces commands for you, but explains them and asks you permission to run them. It leverages the flexibility of @llama_index event-driven workflows, coupled with the blazing speed of @GroqInc inference and with the beauty of Rich (by @textualizeio). 🔍 If you're curious of trying it, the only thing you need to do is: 𝗽𝗶𝗽 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 𝗴𝘂𝘁-𝗮𝗶 📽️ You can also watch the demo below, in which I show how to use gut for adding, committing and pushing local changes! ⭐ Don't forget to star it on GitHub! github.com/AstraBert/gut