treeline

Personal finance should be personal.

An open source, local-first finance app. Built on DuckDB.

I tried a few different finance apps and, while they brought convenience, they all lacked something—because the way I wanted to view my money didn't match The App's opinion of how I was supposed to view my money.

I want to tinker. I want to ask questions of my data that no product manager anticipated. I want my tools to grow with me as my needs change.

So I built Treeline.

Keep reading →

Smart transaction management

Tag transactions with a keystroke. Set up rules to categorize automatically. Split transactions, hide duplicates, search across everything.

What you get

A desktop app for Mac, Windows, and Linux
Open source code you can inspect and audit
Your data in a local DuckDB database
Bank sync via SimpleFIN or Lunch Flow, or CSV import
Quick tagging with customizable rules
A plugin system for extending functionality
Optional database encryption
No account required, no subscription

Plugins

Extend Treeline with plugins. Add budgeting, subscription tracking, savings goals, cash flow projections, and more. Or build exactly what you need—the SDK gives you full access to your data.

Budget

Track spending against tag-based budget categories with rollovers.

Emergency Fund

See how long your emergency fund would last based on your actual spending patterns.

Savings Goals

Set savings targets and track your progress toward each goal.

Subscriptions

Automatically detects recurring charges from your transaction history.

Cash Flow

Plan ahead by scheduling expected income and expenses.

Net Worth Tracker

Soon

Track your total net worth over time. See how your assets and liabilities change month to month.

FIRE Calculator

Soon

Calculate your path to financial independence based on your actual spending and savings rate.

Browse all plugins → or build your own

Go deeper

Your data is a standard DuckDB file. When you want to ask questions no app anticipated, use the built-in SQL editor—or query directly from the terminal, a Jupyter notebook, or any tool that speaks SQL.

SELECT
  dayname(transaction_date) AS day,
  COUNT(*) AS transactions,
  SUM(-amount) AS total_spent
FROM transactions
WHERE amount < 0
GROUP BY dayofweek(transaction_date), day
ORDER BY dayofweek(transaction_date)

day	transactions	total_spent
Sunday	47	$312.84
Monday	89	$567.23
Tuesday	72	$445.91
Wednesday	68	$398.45
Thursday	81	$523.67
Friday	124	$891.32
Saturday	95	$634.18

Read the documentation →

Get treeline

treeline is in beta. Download the app and join Discord to share feedback.

Download Join Discord