litt
A low-intrusion CLI time tracker with a minimal workflow, REST API, and simple JSON storage for easy integration.
About this tool
litt
A low-intrusion CLI time tracker with a minimal workflow, REST API, and simple JSON storage for easy integration.
Source: https://github.com/Riebart/litt
Category: time-tracking-cli-tools
Tags: open-source, command-line, api, minimalist
Features
- Command-Line Interface: Provides a fast and terse CLI for time tracking.
- Minimal Workflow Footprint: Designed for minimal disruption and quick usage, can be integrated into keyboard macros.
- Simple JSON File Database: Stores all time tracking data in a single JSON file for easy manual editing and interoperability.
- REST API: Exposes a basic REST API for integration with other tools and systems.
- Stopwatch Mode: Start/stop a stopwatch to log time entries, suitable for inline workflow usage.
- Ledger Mode: Manually add time records with start and end times.
- Aliases: Define aliases to quickly assign descriptions, tags, and other options to time entries.
- Edit/Amend Time Records: Modify existing records using commands or direct JSON file editing for complex changes.
- Filtering and Exporting: List and filter tracked time data, export in CSV, JSON, YAML, and other formats.
- Tagging: Add tags to time records for categorization and filtering.
- Hooks: Run custom scripts (hooks) at specific events (pre/post commit, config changes, etc.) for automation.
- Configurable: Supports persistent and per-command configuration options.
- Cross-Platform: Stores data in user home directory on both Linux and Windows.
- Extensible: Advanced users can edit the JSON database directly or use tools like
jq. - Short and Long Option Forms: All CLI options have both short and long forms for convenience.
- Flexible Date Parsing: Uses
dateparserto accept absolute or relative date/time specifications. - No Complex History Editing: Keeps history simple, but allows manual edits for advanced needs.
Pricing
- Open Source: No cost, available under an open source license.
Installation
- Requires Python and the
dateparserpackage. Full dependencies listed inrequirements.txt.
For more details and usage examples, visit the GitHub repository.
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