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apgdiff vs driftcurve

apgdiff

github.com

driftcurve

github.com

Side by side

Figureapgdiffdriftcurve
Price fromFreeFree
Free planYesYes
Free trial——
Open source—Yes
Web—Yes
WindowsYes—
macOSYes—
LinuxYes—
API—Yes
Self-hosted—Yes
Plans published11
Spec score · Database Schema Comparison Tools8.2 (#5)8.5 (#2)
LicenseThe project is licensed under the MIT License.The project is open source under the Apache License 2.0.
Purposeapgdiff compares two PostgreSQL database schema dump files and outputs DDL statements to update the old schema or show the differences.driftcurve is a household retirement planning engine that models household finances and simulates retirement outcomes.

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apgdiff

  • FreeFree

apgdiff pricing →

driftcurve

  • FreeFree

driftcurve pricing →

In their own words

apgdiff

apgdiff is a free command-line tool that compares two PostgreSQL schema dump files and generates DDL statements to update an older schema or show differences. It takes an original dump and a new dump as inputs; generated SQL can be printed in the terminal or redirected to a file. The project says it can be called from batch jobs or web applications. It is written in Java and requires Java 1.6 or newer. Listed systems include Windows, Linux, Mac OS X, Solaris, and BSD, as well as other systems where Java is available. Version 2.4 is identified as the latest stable release, with binary and source ZIP downloads. Support covers selected ALTER SEQUENCE, ALTER TABLE, ALTER VIEW, COMMENT, CREATE FUNCTION, CREATE INDEX, CREATE SCHEMA, CREATE SEQUENCE, CREATE TABLE, CREATE TRIGGER, CREATE VIEW, and SET search_path statements. Other SQL statements are ignored, and an option reports ignored DDL. For CREATE TABLE column constraints, only NULL and NOT NULL are supported. The project uses the MIT License and recommends reviewing generated upgrade SQL before applying it.

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driftcurve

driftcurve is an open-source household retirement planning engine for projecting finances and comparing retirement outcomes. It can model multiple household members, account types, debts, mortgages, pensions, Social Security and property sales. Its default Monte Carlo simulations resample annual market data from 1966–2024 across equities, Treasuries, residential real estate, inflation and Bitcoin. Users can adjust historical returns toward their own long-run targets or enter static annual assumptions. Risk-based spending guardrails solve for monthly spending and suggest adjustments based on portfolio thresholds and probability of success. A Compare page puts two scenarios on one chart. In default local mode, household data and saved scenarios stay in browser localStorage, while forecasts run through a Python backend; there is no account or server-side database persistence. Optional multi-user mode adds email/password accounts, server-side sessions, and stored profiles and scenarios. The project offers forecast and guardrails API endpoints, plus authentication, profile and scenario endpoints in multi-user mode. It is free under Apache License 2.0. The maker describes it as an educational modeling tool, not licensed financial, investment, tax or legal advice.

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