metadata-enrichment

BibexPy is a Python-based software designed to streamline bibliometric data integration, deduplication, metadata enrichment, and format conversion. It simplifies the preparation of high-quality datasets for advanced analyses by automating traditionally manual and error-prone tasks.

Import, maintain and export tag metadata to/from audio files and a dynamically created SQLite table. Automates incremental tag cleanup, enrichment and standardisation for your digital audio library at scale using pre-scripted SQL queries and Polars, achieving quality and consistency in your metadata not possible with a tagger

Scientific paper search, enrichment, download, and management

Streamlit dashboard for scholarly metadata search, enrichment, theme analysis, narrative review, and export.

echo-daemon is a self-hosted, dockerized pipeline and chrome extension combo that passively captures YouTube Music requests, downloads audio, enriches it with metadata from Spotify and YouTube, classifies genre via machine learning, and outputs enriched MP3s

Automatically fetch and safely complete music metadata, cover art, and synced lyrics from the CLI.

A production-ready Advanced RAG API featuring background ingestion, schema-driven routing, and dynamic metadata filtering. Built with FastAPI, ChromaDB, and Ollama, it utilizes RabbitMQ workers for scalable, idempotent document processing and autonomous query expansion.

Recognition of Linux packages

Validated, audit-ready metadata enrichment for research & publishing workflows — reproducible AI pipeline patterned on a production editorial system.

Infer AI-friendly environmental and geographic metadata about biosamples from multiple authoritative sources