An open source web crawler that searches the internet. It's a minimal, real-time web search CLI that searches the internet for you. Enter a query and get search results as JSON (title, url, published_date), sorted by recency.
The author discusses 10 Python libraries that have reduced the need to build traditional UIs, focusing on backend power and efficiency. The article begins by stating a shift away from frontend development towards leveraging powerful Python libraries for backend tasks.
| Library | Description |
|-------------|-------------------------------------------------|
| Textual | Terminal UIs that look like native apps |
| Remi | Web apps from Python scripts (no HTML needed) |
| NiceGUI | Reactive GUIs with Python and Vue |
| Flet | Flutter-like UIs in pure Python |
| Eel | Web frontends + Python backends |
| Dear PyGui | Fast, GPU-accelerated GUI engine |
| pywebview | Native webview windows powered by Python |
| Toga | Native UIs for desktop and mobile |
| JustPy | Interactive web apps in pure Python |
| Gooey | Turns CLI apps into GUIs instantly |
| Library | Description |
|-------------|-------------------------------------------------|
| Textual | Terminal UIs that look like native apps |
| Remi | Web apps from Python scripts (no HTML needed) |
| NiceGUI | Reactive GUIs with Python and Vue |
| Flet | Flutter-like UIs in pure Python |
| Eel | Web frontends + Python backends |
| Dear PyGui | Fast, GPU-accelerated GUI engine |
| pywebview | Native webview windows powered by Python |
| Toga | Native UIs for desktop and mobile |
| JustPy | Interactive web apps in pure Python |
| Gooey | Turns CLI apps into GUIs instantly |
This GitHub repository contains a collection of example files demonstrating various use cases and configurations for the llamafiles tools, including examples:
* **System Administration:** Scripts and configurations for Ubuntu, Raspberry Pi 5, and macOS.
* **LLM Interaction:** Examples of prompts and interactions with LLMs like Mixtral and Dolphin.
* **Text Processing:** Scripts for summarizing text, extracting information, and formatting output.
* **Development Tools:** Examples related to Git, Emacs, and other development tools.
* **Hardware Monitoring:** Scripts for monitoring GPU and NVMe drive status.
* **System Administration:** Scripts and configurations for Ubuntu, Raspberry Pi 5, and macOS.
* **LLM Interaction:** Examples of prompts and interactions with LLMs like Mixtral and Dolphin.
* **Text Processing:** Scripts for summarizing text, extracting information, and formatting output.
* **Development Tools:** Examples related to Git, Emacs, and other development tools.
* **Hardware Monitoring:** Scripts for monitoring GPU and NVMe drive status.
Turn any Kiwix ZIM archive (offline Wikipedia, Stack Exchange, DevDocs, etc.) into an instant knowledge source for LLMs with a tiny CLI + Python server exposing searchable chunks, metadata and citations.
The article highlights eight Python libraries that can save time, reduce bugs, and simplify coding tasks.
| Library | Purpose | Key Feature |
|-----------|-----------------------------------------------------------------------|----------------------------------------------------------------------------|
| Rich | Enhance CLI output | Styling, tables, syntax-highlighted tracebacks, progress bars |
| Typer | Build CLIs quickly | Simple CLI creation using function signatures and type hints |
| Pendulum | Handle datetime operations | Time zone handling, formatting, arithmetic, and human-readable time parsing |
| Pydantic | Validate data with type hints | Automated validation, documentation, and parsing of input data |
| Faker | Generate fake data | Create realistic dummy data for testing and development |
| Tqdm | Add progress bars | Monitor loop progress and catch infinite loops |
| Requests-HTML | Web scraping with JavaScript support | Parse modern web pages with JavaScript rendering |
| Loguru | Simplify logging | Easy logging configuration with levels, file rotation, and colorful output |
| Library | Purpose | Key Feature |
|-----------|-----------------------------------------------------------------------|----------------------------------------------------------------------------|
| Rich | Enhance CLI output | Styling, tables, syntax-highlighted tracebacks, progress bars |
| Typer | Build CLIs quickly | Simple CLI creation using function signatures and type hints |
| Pendulum | Handle datetime operations | Time zone handling, formatting, arithmetic, and human-readable time parsing |
| Pydantic | Validate data with type hints | Automated validation, documentation, and parsing of input data |
| Faker | Generate fake data | Create realistic dummy data for testing and development |
| Tqdm | Add progress bars | Monitor loop progress and catch infinite loops |
| Requests-HTML | Web scraping with JavaScript support | Parse modern web pages with JavaScript rendering |
| Loguru | Simplify logging | Easy logging configuration with levels, file rotation, and colorful output |
A flexible Python library and CLI tool for interacting with Model Context Protocol (MCP) servers using OpenAI, Anthropic, and Ollama models.
This library provides a command-line interface (CLI) for managing the user settings of Meshtastic nodes and provides an easy API for sending and receiving messages over mesh radios.
LLM 0.17 release enables multi-modal input, allowing users to send images, audio, and video files to Large Language Models like GPT-4o, Llama, and Gemini, with a Python API and cost-effective pricing.
Simon Willison recently delivered a talk during the Mastering LLMs: A Conference For Developers & Data Scientists, which was a six-week long online event. The talk centered around Simon's LLM Python command-line utility and its plugins, emphasizing how they can be utilized to explore Large Language Models (LLMs) and perform various tasks. Last week, he discussed accessing LLMs from the command-line, sharing valuable insights and techniques with the audience.
A Python API and CLI for displaying images in terminal, works with iTerm2 and can also be used inside tmux. Provides image support for matplotlib. It also has a MPLBACKEND module, an IPython magic, and more.
