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ChipMunk

Apache-2.0Rust4.0.1

A high-performance desktop application for viewing and analyzing large log files and network traces, with support for automotive formats like DLT.

GitHubGitHub
834 stars45 forks0 contributors

What is ChipMunk?

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.

Target Audience

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.

Value Proposition

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.

Overview

log analysis tool

Use Cases

Best For

  • Analyzing multi-gigabyte log files without performance limits
  • Inspecting DLT and SomeIp traces in automotive applications
  • Collecting and monitoring real-time logs over TCP/UDP/serial connections
  • Visualizing log metrics with dynamic, real-time charts
  • Working with network captures (pcap/pcapng) containing embedded DLT data
  • Filtering and searching through live data streams with saved filter sets

Not Ideal For

  • Teams needing cloud-based, collaborative log analysis with multi-user access
  • Projects that only require simple command-line log viewing without a GUI or advanced features
  • Environments where logs are primarily in niche or custom formats not natively supported by Chipmunk
  • Organizations seeking integrated security, compliance, and audit trail features out of the box

Pros & Cons

Pros

Unlimited File Size

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.

Multi-Source Log Collection

Supports real-time ingestion from TCP, UDP, serial ports, and command outputs, making it versatile for various data streams without performance limitations.

Automotive Trace Support

Provides native inspection for DLT and SomeIp formats, including embedded attachments like media files, which is critical for automotive industry applications.

Dynamic Search and Filtering

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.

Real-Time Graphing

Captures metrics via regex and generates live charts to visualize data changes over time, useful for monitoring trends dynamically.

Cons

Desktop-Only Limitation

Lacks web or cloud versions, which restricts remote access and collaboration, making it less suitable for distributed teams or centralized monitoring.

Specialized Format Focus

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.

Setup Complexity for Sources

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.

Limited Ecosystem Integration

Does not seamlessly integrate with broader DevOps tools or platforms like CI/CD pipelines without custom scripting, compared to more comprehensive log management suites.

Frequently Asked Questions

Quick Stats

Stars834
Forks45
Contributors0
Open Issues148
Last commit11 days ago
CreatedSince 2017

Tags

#search#desktop-application#logstash#logviewer#logging#log-analysis#logger#logs-analysis#data-visualization#real-time-search#performance-tooling

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