A web-based server that catalogs ROS bag files, provides search and download capabilities, and offers a REST API for automation.
Bag Database is a server application that catalogs ROS bag files, parses their metadata, and provides a web interface for searching, downloading, and processing them. It solves the problem of managing large collections of bag files by automating discovery and offering both a UI and REST API for access.
Robotics engineers and researchers working with ROS who need to organize, search, and automate tasks with bag files.
Developers choose Bag Database for its automated directory monitoring, user-friendly web interface, and REST API that enables seamless integration into robotic data workflows.
A server that catalogs bag files and provides a web-based UI for accessing them.
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Continuously scans specified directories to automatically detect and catalog new ROS bag files, eliminating manual tracking as highlighted in the key features.
Provides a clean, functional web UI for searching, previewing, and downloading bag files, making it accessible to non-technical team members.
Offers a comprehensive REST API that enables programmatic access, allowing integration into automated workflows and CI/CD pipelines, as stated in the value proposition.
Parses and indexes bag file metadata for efficient querying, improving search performance and organization of large collections.
Requires a Java environment to run, which can add deployment complexity and overhead compared to lightweight, language-agnostic alternatives.
Only supports ROS bag files, making it unsuitable for projects using other data formats or middleware, limiting its versatility.
Setting up directory monitoring, custom scripts, and API integrations involves non-trivial configuration, which the documentation may not fully simplify for beginners.