Forge Database Manager vs TrackOSC

Stop paying for four tools. Forge opens SQL servers, cloud warehouses, NoSQL clusters, federated query engines, file dumps, and key/value stores in one native app — no Electron, no subscriptions. Built with SwiftUI for iPhone, iPad, and Mac. One purchase, every Apple device. NINETEEN DATABASE ENGINES • PostgreSQL family — Postgres, CockroachDB, TimescaleDB, Amazon Redshift • MySQL family — MySQL, MariaDB • SQLite, libSQL, Turso (remote libSQL over Hrana HTTPS) • Microsoft SQL Server, Azure SQL — pure Swift TDS, no driver • Oracle — pure Swift, no Instant Client • Snowflake — SQL API v2, key-pair JWT auth • Google BigQuery — service account JWT • Trino / Presto — federated queries • Apache Cassandra, ScyllaDB • DuckDB — embedded analytics over Parquet, CSV, JSON • Redis — browse keys by type as tables • ClickHouse — analytics via native HTTP • Elasticsearch — indexes as SQL tables THREE FILE FORMATS AS DATABASES • CSV — auto-detected separators, quoted fields, duplicate headers handled • JSON, NDJSON, JSON Lines — arrays and streaming • SQL Dump — open mysqldump or pg_dump files and browse without executing a statement DRY RESTORE — UNIQUE TO FORGE Inspect any SQL dump as if it were a live database. Browse a 400 MB backup in seconds. No risk, no server, no restore. AI BRIDGE — UNIQUE TO FORGE Run a local MCP server that exposes your databases as tools to Claude Desktop, Cursor, and any MCP-compatible assistant. List tables, inspect schemas, run queries — in plain English, on every supported engine. Read-only by default. Credentials never leave your Mac. LIVE DATA WITH DIFF HIGHLIGHT Toggle auto-refresh on any table to watch data change in real time. New rows light up green, changed cells light up yellow. Pauses automatically when you're editing. EDIT IN PLACE Double-click a cell to edit. Save many cells across rows in one transaction. Schema-aware INSERT and DELETE. Import CSV/JSON straight into a SQL table. Every SQL engine, Oracle included. QUERY EDITOR Syntax highlighting and context-aware autocomplete — keywords, table names, column names. SQL formatter and Find & Replace built in. Reusable queries with {{var}} placeholders. Snippet library: type `:name` and the template inserts. SMART DATA GRID Sort, filter, and export results as CSV, JSON, or SQL INSERT — on every engine. SCHEMA COMPARE Diff tables and columns between two connections. Catch drift before it bites in production. UNIVERSAL BACKUP Scheduled backups for every engine: SQL dump for SQL, JSON for Redis. Cron expressions, retention, gzip. Runs in the background. SSH TUNNEL Reach databases behind a bastion host. Password or private-key auth (ed25519, RSA, with passphrase). Pure Swift, no openssh dependency. PORTABLE & SECURE Export connections as a single encrypted bundle (ChaCha20-Poly1305 + PBKDF2-SHA256), import elsewhere with a passphrase. Drag a .sqlite/.csv/.json/.sql.gz file onto the sidebar to open it. Passwords in Apple Keychain. SSL/TLS for remote connections. No telemetry, no cloud dependency. SMALL & FAST Around 50 MB installed on iPhone, even smaller on Mac. Native Swift code, no Electron runtime, instant cold start. NATIVE APPLE Spotlight indexes your saved queries and connections — search them from anywhere on macOS or iOS. Run saved queries with Siri or the Shortcuts app. Keyboard shortcuts everywhere. Multi-window on Mac with shared engine cache. Twenty-two data sources. One app. Zero Electron.

TrackOSC turns your iPhone into a wireless motion-tracking camera. Point it at a person and it streams live tracking data – body poses in 2D and 3D, hand poses, face landmarks, recognised text, animals, people, barcodes, outlines, the horizon and rectangles – over your local network as OSC (Open Sound Control) messages, ready for TouchDesigner, Max/MSP, Processing, openFrameworks, Pure Data, SuperCollider, Unity, or anything else that speaks OSC. All processing happens on-device with Apple's Vision framework. No video ever leaves your phone – only numbers. WHAT IT TRACKS • 2D Body: a 17-joint skeleton in pixels • 3D Body: a 17-joint skeleton in metres – real depth from a single camera, with each joint's pixel position alongside • Hand: 21 joints per hand, up to two hands • Face: the face box, head rotation and jawline contour, and Face Landmarks: the full 76-point constellation – eyes, pupils, brows, nose, lips, jaw • Text: recognised text with its bounding box • Animal: cat and dog boxes, and Animal Pose: full 25-joint cat and dog skeletons • Human: whole-body boxes that keep counting people at distances where pose estimation gives up • Barcode: QR codes and 1D/2D barcodes with position, corners, symbology and payload • Contours: every edge outline in the frame as closed polylines • Horizon: the horizon's angle and a line across the frame • Rectangles: screens, paper, doors – a box plus four corners FEATURES • Live tracking overlays on the camera view, colour-coded per detector • One chip per detector – run just what you need for the best frame rate; 3D Body runs in its own lane so it never slows the others • Front or back camera, with a natural selfie mirror (wire data is never mirrored) • Portrait and landscape, with an orientation lock for phones mounted on tripods and rigs • Automatic discovery of receivers on your network via Bonjour – or type any IP and port • Hide-video mode: tracking overlay only, on black – for stage and installation use • Free, notarised macOS companions – a Receiver with 2D and 3D views, a Recorder that records and replays the stream, a Speaker that reads it aloud, and a Router that turns it into MIDI, Shortcuts, key presses and HTTP – plus open-source receiver examples for Processing, Python, p5.js, TouchDesigner, Max/MSP, Pure Data, openFrameworks and SuperCollider, all from the project page COMPATIBILITY TrackOSC speaks exactly the same OSC wire format as VisionOSC and PoseOSC, so existing receivers and patches work unchanged. The newer detectors arrive as additional messages that older receivers simply ignore. Coordinates are in pixels, origin top-left, with the frame dimensions in every message. PRIVACY No accounts, no analytics, no ads. Camera frames are analysed on the device and discarded; tracking data is sent only to the destination you choose. TrackOSC is open source: https://github.com/JGL/TrackOSC