location-history-json-converter allows users to transform their Google Location History JSON data, obtained from Google Takeout, into more usable formats. The primary objective is to provide flexibility in analyzing and visualizing location data. This project tackles the challenge of converting a complex, nested JSON structure into formats suitable for different applications (e.g., mapping, data analysis, GPS tracking). It leverages Python and various libraries for efficient data handling and format conversion.
This converter offers a wide range of output formats, including KML, CSV, GPX, and JavaScript, catering to diverse user needs. It supports filtering by date range and optionally includes polygon-based location selection. The use of ijson facilitates iterative parsing of large JSON files, preventing memory issues. The project is well-documented with clear usage instructions and options for customization.
- Format Conversion: Supports KML, CSV, CSV full, CSV fullest, JSON, JavaScript, GPX, and GPX tracks formats.
- Date Filtering: Allows specifying a start and end date to extract a specific time range of location data.
- Polygon Filtering: Option to include only locations within a defined polygon shape.
- Iterative Parsing: Handles large JSON files efficiently using
ijsonto avoid memory consumption. - GPX Tracks: Groups location points into tracks based on time and location similarity.
- JavaScript Output: Generates a JavaScript variable containing the converted data.
- Customizable Separator: Provides control over the separator used in CSV formats.
The project has been maintained since 2012, indicating a reasonably stable and reliable codebase. Recent commits suggest ongoing maintenance and potential feature enhancements. The project documentation is comprehensive, providing clear guidance on usage and configuration. The presence of a significant number of stars and forks indicates community interest and adoption.
This project is valuable for anyone who has exported their Google Location History and needs to process the data for analysis, mapping, or integration with other tools. It provides a straightforward way to convert the raw JSON data into more accessible and usable formats, enabling users to gain insights from their location history data without needing specialized programming skills.
