A high-performance desktop application for viewing and analyzing large log files and network traces, with support for automotive formats like DLT.
Chipmunk is a desktop application for viewing and analyzing log files and network traces, designed to handle files of any size without performance degradation. It supports real-time log collection from various sources like TCP, UDP, and serial ports, and includes specialized features for automotive formats such as DLT and SomeIp. The tool also provides advanced search, filtering, and live graphing capabilities for dynamic log analysis.
Developers, engineers, and analysts in automotive, networking, or embedded systems who need to inspect large log files, network captures, or real-time data streams. It's particularly suited for those working with DLT or SomeIp trace formats.
Chipmunk stands out for its ability to open arbitrarily large log files instantly with no caching, combined with native support for automotive trace formats and live data visualization. Its real-time search and graphing tools provide immediate insights as data streams in, making it a comprehensive solution for log analysis beyond basic file viewing.
log analysis tool
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Opens log files of any size limited only by disk space, with no caching or unnecessary copying, ensuring instant access even for multi-gigabyte files as stated in the README.
Supports real-time ingestion from TCP, UDP, serial ports, and command outputs, making it versatile for various data streams without performance limitations.
Provides native inspection for DLT and SomeIp formats, including embedded attachments like media files, which is critical for automotive industry applications.
Allows creation, saving, and color-coding of filter sets that update in real-time as new data arrives, enhancing live log analysis as shown in the GIFs.
Captures metrics via regex and generates live charts to visualize data changes over time, useful for monitoring trends dynamically.
Lacks web or cloud versions, which restricts remote access and collaboration, making it less suitable for distributed teams or centralized monitoring.
While excellent for DLT and SomeIp, it may require additional configuration or custom parsers for other log formats not supported out of the box, limiting generalizability.
Configuring network connections or command outputs might involve non-trivial steps, such as assigning parsers, which could deter casual users seeking plug-and-play solutions.
Does not seamlessly integrate with broader DevOps tools or platforms like CI/CD pipelines without custom scripting, compared to more comprehensive log management suites.