Open Source Go Multimedia Software

Dozzle is a lightweight, self-hosted web application for real-time viewing and monitoring of container logs, focused on speed and simplicity rather than building a full log storage pipeline. Instead of indexing or storing logs, it connects to your container runtime and streams live output so you can diagnose issues as they happen. The interface includes practical quality-of-life features like fuzzy searching for containers, regex log search, split-screen viewing for multiple logs, and live stats such as CPU and memory usage. It supports more advanced analysis through an in-browser SQL query engine for querying logs, which helps when you need structured filtering without exporting data elsewhere. Dozzle also supports multi-user authentication and can integrate with proxy-forward authorization setups for deployments behind gateways. For larger environments, it can monitor multiple hosts via an agent mode and supports orchestrators like Docker Swarm and Kubernetes.

Primitive Pictures is an image processing command-line tool written in Go that reproduces images using geometric primitives (triangles, rectangles, ellipses, polygons, etc.). The core algorithm is iterative and “hill-climbing”: given a target image, it repeatedly finds the best single shape to add that will reduce the error between the current approximation and the target image, then draws that shape. Over time (e.g., adding 50-200 shapes) the output becomes an abstracted version of the input image—recognizable, artistic, and often visually striking. The tool supports input resizing, different shape modes (triangle, rectangle, circle, bezier, polygon), alpha blending, and can output PNG, JPG, SVG, or even animated GIFs that show the incremental build process. Because the Go code is self-contained and efficient, users can run it locally on images, script batch runs, or use it to generate “primitive art” or stylized thumbnails.

This tool is a Go-based automation utility that downloads YouTube videos and permanently embeds or “hard-codes” their subtitles (typically English) into MP4 output files. The workflow involves specifying one or more URLs (via a simple “url” text file in each folder) and the program uses youtube-dl to fetch video and subtitle, then ffmpeg to overlay the subtitles onto the video track. The architecture follows a command-pattern setup: tasks implement a common interface and are scheduled and executed with concurrency controls (maximum goroutines customizable). It assumes a Linux environment with SSR proxy support, and requires the user to pre-install youtube-dl and ffmpeg. With its focus on automation, the tool is useful for easily archiving multilingual subtitles, prepping content for editing, or creating reference versions of YouTube videos.