Rich is a Python library that adds colors, tables, progress bars, markdown rendering, and syntax highlighting to terminal output, making CLI tools and REPL sessions significantly more readable and visually polished across Linux, macOS, and Windows.
- Its `print` is a drop-in replacement for the built-in, so you can swap it in with only an import change and embed markup like ` bold magenta » ` directly in strings
- Can be installed into the Python REPL to automatically pretty-print any data structure you inspect
- Supports true color and emoji on modern Windows Terminal, falling back to 16 colors on classic terminals
- Requires Python 3.8+
- Its `print` is a drop-in replacement for the built-in, so you can swap it in with only an import change and embed markup like ` bold magenta » ` directly in strings
- Can be installed into the Python REPL to automatically pretty-print any data structure you inspect
- Supports true color and emoji on modern Windows Terminal, falling back to 16 colors on classic terminals
- Requires Python 3.8+
Termaid is a pure Python library and CLI that renders Mermaid diagrams as Unicode or ASCII art directly in the terminal or within Python apps, supporting 18 diagram types with zero dependencies, terminal-aware auto-fitting, optional Rich colored output and Textual widget integration.
- Inspired by mermaid-ascii and beautiful-mermaid
- Offers 11 built-in themes including gruvbox, monokai, dracula, nord and solarized
- Pipe-friendly CLI examples include `cat diagram.mmd | termaid` and `uvx termaid diagram.mmd`
- Inspired by mermaid-ascii and beautiful-mermaid
- Offers 11 built-in themes including gruvbox, monokai, dracula, nord and solarized
- Pipe-friendly CLI examples include `cat diagram.mmd | termaid` and `uvx termaid diagram.mmd`
ShellGPT is a powerful command-line productivity tool driven by large language models like GPT-4. It is designed to streamline the development workflow by generating shell commands, code snippets, and documentation directly within the terminal, reducing the need for external searches. The tool supports multiple operating systems including Linux, macOS, and Windows, and is compatible with various shells such as Bash, Zsh, and PowerShell. Beyond simple queries, it offers advanced features like shell integration for automated command execution, a REPL mode for interactive chatting, and the ability to implement custom function calls. Users can also leverage local LLM backends like Ollama for a free, privacy-focused alternative to OpenAI's API.
Milad Alizadeh introduces 'kitcat', a new matplotlib backend designed for plotting directly within compatible terminals. Frustrated with Jupyter notebooks as a development environment, the author sought a leaner, script-based workflow for matplotlib plotting. Kitcat leverages the graphic protocol popularized by Kitty, allowing image data to be sent via escape codes to terminals supporting this functionality, such as Yazi.
The backend encodes PNG pixel data into base64 and transmits it, supporting chunked data for larger images. While acknowledging the existence of 'matplotlib-backend-kitty', kitcat aims for broader compatibility across terminals supporting the protocol. Future development may include support for iTerm2 animations and the Sixel graphics standard.
The backend encodes PNG pixel data into base64 and transmits it, supporting chunked data for larger images. While acknowledging the existence of 'matplotlib-backend-kitty', kitcat aims for broader compatibility across terminals supporting the protocol. Future development may include support for iTerm2 animations and the Sixel graphics standard.
This guide explains how to use tool calling with local LLMs, including examples with mathematical, story, Python code, and terminal functions, using llama.cpp, llama-server, and OpenAI endpoints.
The fast, feature-rich, GPU based terminal emulator. It's capable, scriptable, composable, cross-platform, and innovative.
