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Fava

Fava

Self-Hosted

Web interface for Beancount double-entry bookkeeping

Active(97)
2.2kstars
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Updated 1 day ago

Overview

Discover what makes Fava powerful

Fava is a lightweight, self‑hosted web front‑end for the **Beancount** double‑entry accounting engine. From a developer’s standpoint, it is essentially a Flask‑based service that parses Beancount files, exposes the resulting data through a REST/GraphQL‑like API, and renders an interactive UI using modern JavaScript. The core idea is to keep the bookkeeping logic in Beancount (Python) while providing a user‑friendly web interface that can be embedded or extended in other projects.

Real‑time parsing

Multi‑account support

Rich reporting

Authentication & ACLs

Overview

Fava is a lightweight, self‑hosted web front‑end for the Beancount double‑entry accounting engine. From a developer’s standpoint, it is essentially a Flask‑based service that parses Beancount files, exposes the resulting data through a REST/GraphQL‑like API, and renders an interactive UI using modern JavaScript. The core idea is to keep the bookkeeping logic in Beancount (Python) while providing a user‑friendly web interface that can be embedded or extended in other projects.

Key Features

  • Real‑time parsing: Fava watches the source .beancount file(s) and re‑parses on every HTTP request, giving instant feedback after edits.
  • Multi‑account support: Handles multiple Beancount files per user, with configurable default accounts and budgets.
  • Rich reporting: Built‑in reports (balances, income statement, equity change) are rendered as interactive charts and tables; developers can inject custom reports via Beancount’s plugin API.
  • Authentication & ACLs: Optional basic auth or OAuth2 integration, enabling secure multi‑user deployments.

Technical Stack

LayerTechnologyPurpose
BackendPython 3.x, FlaskHTTP routing, template rendering
Accounting engineBeancount (Python)Core double‑entry parsing, validation
DatabaseSQLite (default), optional PostgreSQLStores user sessions, configuration, and audit logs
FrontendVanilla JS + Chart.js / D3.jsInteractive charts, dynamic table filtering
ContainerizationDocker (official image)Simplifies deployment and scaling

Fava is intentionally minimalistic: it ships with a single dependency (beancount) and relies on Flask’s built‑in development server for quick demos. For production, developers are encouraged to run Fava behind a WSGI server (uWSGI or Gunicorn) and reverse‑proxy with Nginx.

Core Capabilities & APIs

  • Programmatic API: Exposes a /api endpoint that returns JSON representations of accounts, transactions, and reports. This allows developers to build custom dashboards or integrate Fava data into other services.
  • Webhooks: Configurable webhook endpoints that fire on transaction import or report generation, enabling CI/CD pipelines to react to bookkeeping changes.
  • Plugin system: Beancount’s plugin interface can be used to add custom parsers, validators, or report generators that Fava automatically discovers.
  • Export: Supports CSV, JSON, and PDF exports of reports, facilitating downstream analytics.

Deployment & Infrastructure

  • Self‑hosted: A single Python process suffices for small teams; scaling horizontally is achieved by running multiple instances behind a load balancer.
  • Docker: The official Docker image (fava/fava) pulls the latest stable release and exposes port 5000. Environment variables control authentication, database URI, and file paths.
  • Resource footprint: Roughly 50 MB of RAM for a single instance, making it suitable for Raspberry Pi or cloud VPS deployments.
  • Persistence: Beancount files are stored on disk; migrations are handled by the developer. The SQLite database can be replaced with PostgreSQL for multi‑user setups.

Integration & Extensibility

  • RESTful endpoints: Developers can consume Fava’s data via HTTP clients or integrate it into existing REST APIs.
  • GraphQL layer: Optional GraphQL support (via Flask‑GraphQL) allows fine‑grained queries on accounts and transactions.
  • Custom UI: The front‑end is modular; developers can replace the template engine or swap Chart.js for a custom visualization library.
  • CLI hooks: The fava command accepts arguments to run as a daemon, watch mode, or with custom config files.

Developer Experience

  • Configuration: A simple fava.cfg file controls data paths, authentication, and logging. Inline comments help newcomers.
  • Documentation: The README provides a concise start‑up guide, while the official docs (on GitHub) cover advanced topics like plugin development and deployment strategies.
  • Community: Active issue tracker, regular releases (semver), and a mailing list for discussion. The Beancount ecosystem is mature, ensuring that Fava benefits from upstream improvements.

Use Cases

  1. Personal Finance Dashboard – A solo developer can host Fava on a home server to visualize monthly budgets and track expenses.
  2. Non‑Profit Accounting – Small NGOs can run Fava behind a corporate proxy, using its multi‑account support to separate project budgets.
  3. Financial API Service – A fintech startup can expose Fava’s JSON API to internal services, enabling automated reconciliation pipelines.
  4. Embedded Accounting – A SaaS product can bundle Fava as a micro‑service, offering users an out‑of‑the‑box bookkeeping interface without reinventing the wheel.

Advantages Over Alternatives

CriterionFavaAlternative (e.g., GnuCash, Ledger)
Open SourceMIT license – free for commercial useGPL (more restrictive)
Web InterfaceNative, responsive UIOften desktop‑only or legacy web
ExtensibilityBeancount plugins + API hooksLimited plugin support
PerformanceSingle‑threaded but fast for small data sets; can scale horizontallyDesktop apps may lag with large files
DeploymentDocker +

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Information

Category
other
License
MIT
Stars
2.2k
Technical Specs
Pricing
Open Source
Supported OS
LinuxWindowsmacOS
Author
beancount
beancount
Last Updated
1 day ago