muziqa: mp3 collection visualizer

Ljubomir Buturovic — Sat, 11 Apr 2026 04:01:39 +0000

I have thousands of MP3s and FLACs sitting in folders. I've been
collecting music for years but never had a good sense of what was
actually in there. So I built muziqa — a command-line tool that
reads your music tags and generates charts.

What it does

Run it against a folder:

$ muziqa ~/Music

It reads the ID3/Vorbis/MP4 tags from every supported file (MP3, FLAC,
WAV, M4A, OGG), recursively, and produces two PNG charts:

top 20 artists by track count, side by side with tracks by decade

tracks by year, with a 5-year rolling average of mean tracks per artist overlaid on a twin axis

Optionally, with --country and --genre, it queries
MusicBrainz to look up each artist's
country of origin and genre, then generates two more charts:

tracks by country

tracks by genre

The MusicBrainz lookup respects their 1 req/sec rate limit and caches
results locally, so it only runs once.

Install (Mac and Linux)

$ pipx install muziqa

It probably runs on Windows but I haven't tried

Source

https://github.com/ljbuturovic/muziqa

llm-models: keeping up with LLM frontier model versions

Ljubomir Buturovic — Sun, 23 Nov 2025 00:02:38 +0000

The Problem

With the flurry of new LLMs published almost daily, it may be confusing for developers to keep track of which exact models are available through various API services at any given time. When gemini 3 was released, I could not find the correct model name for a while (turned out to be "gemini-3-pro-preview")

The Solution

I built (with Claude Code help) a simple CLI app to list available models for the major providers.

Usage


$ llm_models -h
usage: llm_models [-h] -p {OpenAI,Anthropic,xAI,GoogleAI,VertexAI} [-r REGION]

List available LLM models from various providers

options:
  -h, --help            show this help message and exit
  -p {OpenAI,Anthropic,xAI,GoogleAI,VertexAI}, --provider {OpenAI,Anthropic,xAI,GoogleAI,VertexAI}
                        The LLM provider backend.
                        - 'GoogleAI': Google AI Studio (API Key). Global/Auto-routed.
                        - 'VertexAI': Google Cloud Vertex AI (IAM Auth). Region-specific.
  -r REGION, --region REGION
                        Google Cloud region (e.g., 'us-central1').
                        *Required* if provider is VertexAI. Ignored for other providers.

$ llm_models -p Anthropic
Listing available Anthropic models...
================================================================================
Model: claude-haiku-4-5-20251001 (Claude Haiku 4.5)
Model: claude-sonnet-4-5-20250929 (Claude Sonnet 4.5)
Model: claude-opus-4-1-20250805 (Claude Opus 4.1)
Model: claude-opus-4-20250514 (Claude Opus 4)
Model: claude-sonnet-4-20250514 (Claude Sonnet 4)
Model: claude-3-7-sonnet-20250219 (Claude Sonnet 3.7)
Model: claude-3-5-haiku-20241022 (Claude Haiku 3.5)
Model: claude-3-haiku-20240307 (Claude Haiku 3)
Model: claude-3-opus-20240229 (Claude Opus 3)

Installation

macOS:

% pip3 install llm-models

Windows:

pip install llm-models

Linux:

$ pipx install llm-models

GitHub repo: https://github.com/ljbuturovic/llm-models

What's next

Give it a try and let me know what you think in the comments!

Forem: Ljubomir Buturovic