TimeTracker - Professional Time Tracking Application
A comprehensive web-based time tracking application built with Flask, featuring project management, time tracking, invoicing, and analytics.
📸 Screenshots
Core Application Views
Management & Analytics
Data Entry & Creation
🌐 Platform Support
Web Application (Primary)
- Desktop: Windows, macOS, Linux with modern web browsers
- Mobile: Responsive design optimized for Android and iOS devices
- Tablets: Full touch-friendly interface for iPad and Android tablets
Access Methods
- Web Browser: Chrome, Firefox, Safari, Edge (latest versions)
- Mobile Web: Progressive Web App (PWA) capabilities
- API Access: RESTful API for third-party integrations
- CLI Tools: Command-line interface for administration and automation
Note: This is a web-based application that runs in any modern browser. While not native mobile apps, the responsive design provides an excellent mobile experience across all devices.
📊 Reporting Features
Comprehensive Analytics Dashboard
- Real-time Statistics: Live updates of current time tracking status
- Time Period Analysis: Daily, weekly, and monthly hour summaries
- Project Performance: Time breakdown by project with client information
- User Productivity: Individual and team performance metrics
- Billable vs Non-billable: Separate tracking for invoicing purposes
Detailed Reports
- Project Reports: Time analysis by project with user breakdowns
- User Reports: Individual performance metrics and project allocation
- Summary Reports: Key performance indicators and trends
- Custom Date Ranges: Flexible reporting periods for analysis
- Export Capabilities: CSV export with customizable delimiters
Visual Analytics
- Progress Bars: Visual representation of time allocation
- Statistics Cards: Key metrics displayed prominently
- Trend Analysis: Historical data visualization
- Mobile-Optimized Charts: Responsive charts for all screen sizes
⚡ Automatic Time Tracking
Smart Timer Features
- Idle Detection: Automatic pause after configurable idle timeout (default: 30 minutes)
- Single Active Timer: Option to allow only one active timer per user
- Auto-source Tracking: Distinguishes between manual and automatic time entries
- Real-time Updates: WebSocket-powered live timer updates
Timer Management
- Start/Stop Controls: Simple one-click timer management
- Project Association: Automatic project linking for time entries
- Task Categorization: Optional task-level time tracking
- Notes and Tags: Rich metadata for time entries
- Duration Calculation: Automatic time calculation and formatting
Configuration Options
- Idle Timeout: Customizable idle detection (5-120 minutes)
- Timer Behavior: Single vs. multiple active timers
- Rounding Rules: Configurable time rounding (1-minute increments)
- Timezone Support: Full timezone awareness and conversion
🏢 Client Management System
Comprehensive Client Management
- Client Organization: Create and manage client organizations with detailed information
- Contact Management: Store contact person, email, phone, and address details
- Default Rate Setting: Set standard hourly rates per client for automatic project population
- Status Management: Active/inactive client status with archiving capabilities
- Project Relationships: Clear view of all projects associated with each client
Enhanced Project Creation
- Client Selection: Dropdown selection instead of manual typing to prevent errors
- Automatic Rate Population: Client default rates automatically fill project hourly rates
- Error Prevention: Eliminates typos and duplicate client names
- Quick Setup: Faster project creation with pre-filled client information
Client Analytics
- Project Statistics: Total and active project counts per client
- Time Tracking: Total hours worked across all client projects
- Cost Estimation: Estimated total cost based on billable hours and rates
- Performance Metrics: Client-specific productivity and billing insights
📁 Data Standards & Import/Export
Export Formats
- CSV Export: Standard comma-separated values with configurable delimiters
- Data Fields: Complete time entry information including:
- User, Project, Client, Task details
- Start/End times in ISO format
- Duration in hours and formatted display
- Notes, Tags, Source, Billable status
- Creation and modification timestamps
Data Structure
- Standardized Fields: Consistent data format across all exports
- ISO 8601 Timestamps: Standard datetime format for compatibility
- Configurable Delimiters: Support for different regional CSV standards
- UTF-8 Encoding: Full international character support
Import Capabilities
- Database Schema: PostgreSQL and SQLite support
- Migration System: Flask-Migrate with version tracking and rollback support
- Backup/Restore: Database backup and restoration tools
- CLI Management: Command-line database operations with migration commands
API Integration
- RESTful Endpoints: Standard HTTP API for external access
- JSON Format: Modern data exchange format
- Authentication: Secure API access with user authentication
- Real-time Updates: WebSocket support for live data synchronization
🚀 Quick Start
Prerequisites
- Python 3.8+
- Docker (optional)
- PostgreSQL (recommended) or SQLite
Installation
- Clone the repository
- Install dependencies:
pip install -r requirements.txt - Set up environment variables (see
env.example) - Run the application:
python app.py
📁 Project Structure
The project has been organized for better maintainability:
TimeTracker/
├── app/ # Main Flask application
│ ├── models/ # Database models
│ ├── routes/ # Route handlers
│ ├── static/ # Static assets (CSS, JS, images)
│ ├── templates/ # HTML templates
│ └── utils/ # Utility functions
├── docs/ # Documentation and README files
├── docker/ # Docker-related scripts and utilities
│ ├── config/ # Configuration files (Caddyfile, supervisord)
│ ├── fixes/ # Database and permission fix scripts
│ ├── startup/ # Startup and initialization scripts
│ └── tests/ # Docker environment test scripts
├── migrations/ # Database migrations with Flask-Migrate
│ ├── versions/ # Migration version files
│ ├── env.py # Migration environment configuration
│ ├── script.py.mako # Migration template
│ └── README.md # Migration documentation
├── scripts/ # Deployment and utility scripts
├── tests/ # Application test suite
├── templates/ # Additional templates
├── assets/ # Project assets and screenshots
├── logs/ # Application logs
├── docker-compose.yml # Local development setup
├── docker-compose.remote.yml # Production deployment
├── docker-compose.remote-dev.yml # Development deployment
└── Dockerfile # Application container definition
🐳 Docker Support
Multiple Docker configurations are available for different deployment scenarios:
Local Development
-
docker-compose.yml- Standard local development setup with all features- Builds from local source code
- Includes optional Caddy reverse proxy for TLS
- Suitable for development and testing
-
docker-compose.local-test.yml- Quick local testing with SQLite- Uses SQLite database (no separate database container needed)
- Development mode with debug logging enabled
- Perfect for quick testing and development
- See Local Testing Documentation
Remote Deployment
-
docker-compose.remote.yml- Production deployment using GitHub Container Registry- Uses pre-built
ghcr.io/drytrix/timetracker:latestimage - Secure cookie settings enabled
- Optimized for production environments
- Uses pre-built
-
docker-compose.remote-dev.yml- Development deployment using GitHub Container Registry- Uses pre-built
ghcr.io/drytrix/timetracker:developmentimage - Secure cookie settings enabled
- Suitable for testing pre-release versions
- Uses pre-built
Database Migration System
The application now uses Flask-Migrate for standardized database migrations with:
- Version Tracking: Complete history of all database schema changes
- Rollback Support: Ability to revert to previous database versions
- Automatic Schema Detection: Migrations generated from SQLAlchemy models
- Cross-Database Support: Works with both PostgreSQL and SQLite
- CLI Commands: Simple commands for migration management
Migration Commands
# Initialize migrations (first time only)
flask db init
# Create a new migration
flask db migrate -m "Description of changes"
# Apply pending migrations
flask db upgrade
# Rollback last migration
flask db downgrade
# Check migration status
flask db current
# View migration history
flask db history
Quick Migration Setup
# Use the migration management script
python migrations/manage_migrations.py
# Or manually initialize
flask db init
flask db migrate -m "Initial schema"
flask db upgrade
Comprehensive Migration for Any Existing Database:
# For ANY existing database (recommended)
python migrations/migrate_existing_database.py
# For legacy schema migration
python migrations/legacy_schema_migration.py
Migration Support:
- ✅ Fresh Installation: No existing database
- ✅ Legacy Databases: Old custom migration systems
- ✅ Mixed Schema: Some tables exist, some missing
- ✅ Production Data: Existing databases with user data
- ✅ Cross-Version: Databases from different TimeTracker versions
🚀 Automatic Container Migration:
- ✅ Zero Configuration: Container automatically detects database state
- ✅ Smart Strategy Selection: Chooses best migration approach
- ✅ Automatic Startup: Handles migration during container startup
- ✅ Production Ready: Safe migration with automatic fallbacks
See Migration Documentation, Complete Migration Guide, and Container Startup Configuration for comprehensive details.
Enhanced Database Startup
The application now includes an enhanced database startup procedure that automatically:
- Creates all required tables with proper schema
- Handles migrations and schema updates
- Verifies database integrity before starting
- Provides comprehensive error reporting
See Enhanced Database Startup Documentation for detailed information.
Docker Compose Usage
Quick Start with Local Development
# Clone the repository
git clone https://github.com/drytrix/TimeTracker.git
cd TimeTracker
# Copy environment file and configure
cp env.example .env
# Edit .env with your settings
# Start the application
docker-compose up -d
# Access the application at http://localhost:8080
Quick Start with Local Testing (SQLite)
# Clone the repository
git clone https://github.com/drytrix/TimeTracker.git
cd TimeTracker
# Start with SQLite (no database setup needed)
docker-compose -f docker-compose.local-test.yml up --build
# Access the application at http://localhost:8080
# Or use the convenience script:
# Windows: scripts\start-local-test.bat
# Linux/macOS: ./scripts/start-local-test.sh
Production Deployment with Remote Images
# Use production-ready images from GitHub Container Registry
docker-compose -f docker-compose.remote.yml up -d
# Or use development version for testing
docker-compose -f docker-compose.remote-dev.yml up -d
Development with TLS Support
# Start with Caddy reverse proxy for HTTPS
docker-compose --profile tls up -d
# Access via HTTPS at https://localhost
Environment Configuration
All docker-compose files support the following environment variables (set in .env file):
TZ- Timezone (default: Europe/Brussels)CURRENCY- Currency symbol (default: EUR)ROUNDING_MINUTES- Time rounding in minutes (default: 1)SINGLE_ACTIVE_TIMER- Allow only one active timer per user (default: true)ALLOW_SELF_REGISTER- Allow user self-registration (default: true)IDLE_TIMEOUT_MINUTES- Auto-pause timer after idle time (default: 30)ADMIN_USERNAMES- Comma-separated list of admin usernames (default: admin)SECRET_KEY- Flask secret key (change this in production!)SESSION_COOKIE_SECURE- Secure session cookies (default: false for local, true for remote)REMEMBER_COOKIE_SECURE- Secure remember cookies (default: false for local, true for remote)
Database Configuration
POSTGRES_DB- Database name (default: timetracker)POSTGRES_USER- Database user (default: timetracker)POSTGRES_PASSWORD- Database password (default: timetracker)
Useful Commands
# View logs
docker-compose logs -f app
# Stop all services
docker-compose down
# Stop and remove volumes (⚠️ deletes all data)
docker-compose down -v
# Rebuild and restart
docker-compose up -d --build
# Check service status
docker-compose ps
# Access database directly
docker-compose exec db psql -U timetracker -d timetracker
Version Management
A comprehensive version management system provides flexible versioning:
- GitHub Releases - Automatic versioning when creating releases
- Git Tags - Manual version tagging for releases
- Build Numbers - Automatic versioning for branch builds
- Local Tools - Command-line version management scripts
See Version Management Documentation for detailed information.
🔧 Features
- Time Tracking: Start/stop timer with project and task association; idle detection; single-active-timer mode; manual and automatic entry sources; rounding rules
- Client & Project Management: Client organizations with contacts and default rates; project relationships; status management; error-preventing dropdowns; auto-populated rates
- Task Management: Per-project tasks, categories, and task-level time tracking
- Invoicing: Generate branded PDF invoices; billable hours, company branding/logo, currency, and rounding support
- Analytics & Reports: Real-time stats, period analysis, project/user summaries, CSV export, visual analytics
- User & Roles: Multi-user with role-based access control and admin panel
- Mobile-Optimized UI: Responsive layout and mobile-friendly charts
- API & Integrations: RESTful endpoints with JSON responses
- CLI & Admin Tools: Database migrations, management scripts, and utilities
- Dockerized Deployment: Local and remote compose files, public images on GitHub Container Registry
New: PDF Layout Editor (Admin)
- Visual editor to customize the invoice PDF layout with HTML and CSS
- Local assets: GrapesJS is served from
static/vendor(no CDN dependency) - Live preview in the editor to validate changes before export
- Translations: Fully supports Flask‑Babel strings like
{{ _('Invoice') }} - Company branding: Uses values from Admin → System Settings (logo, address, etc.)
- Safe defaults: One‑click “Load Defaults” provides a complete starter template
Usage:
- Open
Admin → System Settingsand click “Edit PDF Layout”. - Adjust HTML and CSS. Use
{{ format_date(...) }},{{ format_money(...) }},{{ _('...') }}. - Click “Save Layout”. Export any invoice to see the new design.
Notes:
- The editor stores custom template HTML/CSS in the
settingstable; leave blank to use built‑in defaults. - Preview sanitizes pasted content to avoid smart quotes and HTML entities breaking Jinja.
📚 Documentation
Detailed documentation is available in the docs/ directory:
- API Documentation: API endpoints and usage
- Feature Guides: Detailed feature explanations
- Troubleshooting: Common issues and solutions
- Deployment: Setup and deployment instructions
Metrics Server and Privacy
This application can optionally communicate with a metrics server to help improve reliability and features. No license is required and the app works without it.
- What is sent:
- App identifier and version
- Anonymous instance ID (UUID)
- Basic system info: OS, version, architecture, hostname, local IP, Python version
- Aggregate usage events (e.g., feature used). No time entry data or personal content
- Controls:
- Toggle analytics in Admin → System Settings → Privacy & Analytics
- View status in Admin → Metrics Status
- Configuration (env vars are optional and have sensible defaults):
METRICS_SERVER_URL(or legacyLICENSE_SERVER_BASE_URL)METRICS_SERVER_API_KEY(or legacyLICENSE_SERVER_API_KEY)METRICS_HEARTBEAT_SECONDS(or legacyLICENSE_HEARTBEAT_SECONDS)METRICS_SERVER_TIMEOUT_SECONDS(or legacyLICENSE_SERVER_TIMEOUT_SECONDS)
🚀 Deployment
Docker Deployment
# Local development
docker-compose up -d
# Production with remote images
docker-compose -f docker-compose.remote.yml up -d
# Development with remote images
docker-compose -f docker-compose.remote-dev.yml up -d
Manual Deployment
# Install dependencies
pip install -r requirements.txt
# Set environment variables
cp env.example .env
# Edit .env with your configuration
# Run the application
python app.py
🧪 Testing
Run the test suite:
python -m pytest tests/
🤝 Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
See docs/CONTRIBUTING.md for detailed guidelines.
📄 License
This project is licensed under the GNU General Public License v3.0 — see LICENSE for details.
🆘 Support
- Issues: Report bugs and feature requests on GitHub
- Documentation: Check the
docs/directory - Troubleshooting: See
docs/SOLUTION_GUIDE.md
🔄 Recent Updates
- Project Cleanup: Reorganized project structure for better maintainability
- Docker Organization: Consolidated Docker configurations and scripts
- Documentation: Moved all documentation to dedicated
docs/directory - Script Organization: Grouped utility scripts by purpose
Note: This project has been cleaned up and reorganized. All files have been preserved and moved to appropriate directories for better organization and maintainability.