assets_tracker
Open-source, self-hosted net worth & portfolio tracker that combines bank accounts, brokerages, crypto wallets, property, liabilities, and long-term financial goals.
Ficha actualizada 23 sept 2026, 2:57 · upstream 23 sept 2026, 2:43 · release 1.6.0
Qué es assets_tracker
Descripción editorial construida a partir del repositorio, su documentación y sus señales de mantenimiento.
A private, multi-currency home for tracking your net worth, investments, cash, property, liabilities, and long-term financial goals. Run your own instance with PostgreSQL using Docker or deploy to Vercel and Neon. Features live market data refreshes for stocks, ETFs, crypto, options, and exchange rates.
- Track net worth across multiple currencies
- Monitor investments and portfolio performance
- Manage cash flow and recurring expenses
- Track cryptocurrency holdings and positions
- Monitor property assets and liabilities
- Plan for retirement goals (FIRE)
- Own your data with full self-hosting control using Docker or Vercel + Neon
- Multi-currency design keeps original balances while viewing history in preferred currency
- Live market data refreshes stocks, ETFs, crypto, options, and exchange rates
- Supports recurring cash flow tracking and DCA investing strategies
- Desktop and mobile responsive UI with English/Traditional Chinese language support
- Installable PWA for offline access on mobile devices
Perfil de infraestructura
Estimación inicial derivada del repositorio y de los servicios detectados.
Despliegue detectado
Qué señales reales de instalación hemos encontrado.
For production self-hosting, run `./scripts/setup-env.sh` to generate `.env` with secrets. Then execute `docker compose --profile full up --no-build -d`. The script prints the password you sign in with. For Vercel + Neon deployment, use the provided GitHub Actions workflow files and configure your environment variables accordingly.
Stack y dependencias
Componentes inferidos a partir de manifests, configuración y documentación.
Puede sustituir a
Relaciones detectadas por el análisis del repositorio y su categoría.
Experiencia real de la comunidad
Ayuda a contrastar la estimación automática con instalaciones reales.
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