I Got Tired of Losing Data History, So I Built a Python Library to Fix It. Meet Chrono Temporal (chrono-temporal)

What is Chrono Temporal (chrono-temporal)? A Practical Approach to Time-Travel Queries in PostgreSQL Most applications treat data as a single, current state. A user has one profile. A product has one price. A record gets updated… and the previous state is gone. But in reality, data is not static, it evolves over time. And sometimes, the most important question is: What did this data look like before? The Problem with Traditional Data Models Let's say you update a product price: pythonproduct.price = 599 Before the update: price = 999 After the update: price = 599 The previous value is gone. Now imagine trying to answer: - What was the price on Black Friday? - When exactly did this change happen? - What else changed at the same time? You'll typically need audit logs, history tables, triggers, or complex event sourcing setups. All of which add significant complexity to your codebase. --- **Thinking in Timelines Instead of States** Instead of storing only the *current state*, what if we s