L'Excellence
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A knowledge graph system for organizing and retrieving lifelog data, linking images with metadata and detected concepts to external knowledge bases for comprehensive personal data visualization and retrieval.

Remote work location discovery platform featuring over 16,900 verified cafes and workspaces with details on WiFi speeds, noise levels, power outlets, and body doubling accountability sessions.

Skills assessment platform that helps companies evaluate candidates with timed tests and challenges. While not a time tracker, it measures time-to-completion for hiring assessments and coding tests.

A graphical Python utility for visualizing historical Toggl time-tracking data, helping users explore and analyze how their time is spent over time.

A Go (Golang) wrapper for Toggl API v8 that enables Go applications and tools to interact with Toggl’s time-tracking endpoints.

A PHP library for Toggl API v8 built on the Guzzle HTTP client, allowing PHP applications to integrate with Toggl’s time-tracking features programmatically.

A Java wrapper for the Toggl time-tracking API v8, providing an object-oriented interface for integrating Toggl time tracking into Java applications.

A Node.js library for the Toggl API v8 that provides a programmatic interface for integrating Toggl time tracking into JavaScript/Node applications.

A KDE plasmoid that integrates Toggl Track time tracking into the KDE desktop, allowing users to start and manage Toggl timers directly from their panel.

An Arduino-based physical time tracking cube that uses the Toggl Track API. Each side of the paper cube can be configured to start tracking a different task when that side faces upwards.

A RESTful JSON API for Toggl’s time tracking service, enabling developers and third‑party applications to programmatically manage users, projects, and time entries in Toggl Track. It supports ISO 8601/RFC 3339 timestamps, per-user API tokens for authentication, and rate limiting via a leaky bucket algorithm, making it suitable for building custom time tracking integrations, automations, and reporting tools.

A Python project that uses the Toggl API to calculate how many hours you need to work to hit monthly goals, extending Toggl time tracking with goal management and planning capabilities.