$ show ever-works/awesome-time-tracking
This repository is a comprehensive curated knowledge base and reference directory focused on time tracking, productivity methodologies, and related tools. The dominant character is a flat collection of over 3000 markdown files under `details/`, each describing a specific software tool, productivity technique, author, or research finding in a structured format (overview, features, pricing, use cases). While primarily a reference resource, the repo also contains a few functional software components, including a Spring Boot + Vaadin reporting app for Toggl (toggl-reporter), a Django monorepo with REST API and Keycloak auth for time tracking (timed), a Home Assistant custom component (ha-toggl-track), and a Lua SDK (Qmonix). These are small reference implementations that demonstrate integration patterns. The repository serves as a one-stop guide for individuals and teams evaluating time tracking solutions, learning productivity methods, or building integrations. It cites numerous statistics and studies, but many entries are stale or incomplete (e.g., research stub pages with placeholder text). The code components are basic and not production-ready without further development.
The LLM identified 2 files worth highlighting for reuse:
A well-structured markdown file describing the Ivy Lee Method for prioritization. It follows a consistent template (overview, history, steps, implementation tips) that can be extracted and reused as a documentation pattern for other productivity methods in new projects. The content is self-contained and requires minimal adaptation for use in a different knowledge base or training material.
A Spring Boot application with Vaadin frontend that imports Toggl time entries and provides a team working-hours comparison. It demonstrates a clean separation of concerns (MVC pattern) and includes Docker support. Could be extracted as a reference implementation for building custom time-tracking dashboards with similar third-party API integrations.