Thrifty
Simple monthly income and expenses web application
100 stars 5 forks last commit first released BSD-2-Clause
Actively maintained
Last commit 3 Apr 2026.
Thrifty is a minimal web application for tracking monthly income and expenses. It provides a straightforward UI for adding, editing, and deleting income/expense entries and exposes a small Go API with Swagger documentation.
Key Features
- Add, edit, and delete income and expense entries through a SvelteKit UI.
- Two-row layout for income and expenses with responsive collapse to a single column on small screens.
- API implemented in Go with OpenAPI/Swagger documentation available at the API's swagger endpoint.
- Currency configurable via environment variable to display different ISO currency symbols.
- Supports SVG icons for categories/entries and stores data in a local SQLite database (docker volume by default).
- Distributed as Docker images and runnable via docker-compose; builds provided for amd64 and arm64.
- Development-friendly: frontend uses pnpm (Node) and SvelteKit; backend is a Go module with optional Swag tooling for generating docs.
Use Cases
- Personal monthly budgeting and quick cash-flow overviews for individuals.
- Lightweight self-hosted finance tracker for households or small teams that do not require advanced accounting features.
- Developer/demo projects where a simple full-stack example (SvelteKit + Go + SQLite + Docker) is needed.
Limitations and Considerations
- Intentionally minimal feature set: not designed for detailed transaction categorization, multi-account reconciliation, or full bookkeeping.
- No built-in user authentication or multi-tenant/multi-user account management in the default setup.
- Uses SQLite for storage by default, which limits horizontal scaling and concurrent write-heavy workloads compared with server-grade databases.
Thrifty is best suited for users who want a simple, self-hosted personal finance tracker or a compact full-stack reference app. It prioritizes simplicity and ease of deployment over advanced accounting features.
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