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    1. Home
    2. Time Tracking Cli Tools
    3. litt

    litt

    A low-intrusion CLI time tracker with a minimal workflow, REST API, and simple JSON storage for easy integration.

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    Веб-сайтgithub.com
    ОпубликованоMay 13, 2025

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    Time Tracking Cli Tools

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    #open-source#command-line#api#minimalist

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    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 dateparser to 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 dateparser package. Full dependencies listed in requirements.txt.

    For more details and usage examples, visit the GitHub repository.