2 apps metadata
Metadata Remote screenshot thumbnail

Metadata Remote

Metadata Remote is a browser-based audio tag editor designed specifically for headless music servers, enabling collectors to fix ID3 tags, embed high-resolution cover art, and match releases against MusicBrainz without moving files off their NAS. Navidrome, Jellyfin, and Plex administrators can browse mounted directories directly from any browser, inspect standard and extended metadata fields, and apply single-file or bulk folder-wide updates in one click. Clicking an empty or incomplete field activates the smart inference engine, which analyzes filenames, directory hierarchy, and sibling tracks alongside live MusicBrainz queries to present candidate values ranked by confidence percentage, including specialized matching rules for classical works, multi-artist compilations, and live bootlegs. Built-in audio streaming lets you audition MP3, FLAC, OGG, OPUS, M4A, M4B, WMA, WAV, and WavPack files inside the interface to verify mysterious tracks before renaming files or folders inline. A dedicated long-form text editor automatically opens for lyrics and liner notes exceeding 100 characters, while the album art manager previews image dimensions, bulk-embeds covers across entire albums, and repairs corrupted artwork headers automatically. Every single-track edit, custom field creation, and batch folder operation is tracked in a 1,000-step undo and redo history with full keyboard-only navigation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

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Marmot

Cataloging tables, topics, queues, and APIs across fragmented data stacks usually demands heavyweight enterprise governance suites, yet Marmot delivers fast full-text asset discovery and AI-ready metadata context in a single self-hosted service. Data engineering and platform teams use its 71 official plugins to automatically ingest schemas, run histories, and dependencies from Apache Kafka, Airflow, Iceberg, Superset, PostgreSQL, BigQuery, and AsyncAPI specifications without moving raw table rows or message payloads. From the web interface, analysts can run structured boolean queries, filter assets by custom tags or PII classifications, and inspect column-level schemas in seconds. Interactive upstream and downstream lineage graphs let engineers trace how events flow from message brokers into warehouse tables and BI dashboards so they can assess what breaks before renaming a column or deprecating an endpoint. Shared business glossaries, bidirectional ownership assignments, and curated data product bundles ensure every department speaks the same language and knows exactly which team maintains each pipeline. Through the built-in Model Context Protocol server, AI assistants in Cursor, Claude Desktop, and LibreChat can invoke tools like discover_data, find_ownership, and lookup_term to answer natural-language questions against live catalog metadata instead of guessing. Platform administrators can also manage catalog resources declaratively using the REST API, CLI, Terraform provider, or Pulumi integration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

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