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Tableau Log Viewer vs Chipmunk Log Analyzer & Viewer

Side-by-side comparison for macOS

Tableau Log Viewer

8.0
Developer Tools

Tool for working with Tableau logs

Chipmunk Log Analyzer & Viewer

7.0
Developer Tools

Log analysis tool

Metric Tableau Log Viewer Chipmunk Log Analyzer & Viewer
Category Developer Tools Developer Tools
AI Score 8.0 7.0
30-day Installs 1 23
90-day Installs 1 63
365-day Installs 9 356
Version 1.3 3.19.6
Auto-updates No Yes
Deprecated Yes No
GitHub Stars 173 704
GitHub Forks 53 39
Open Issues 15 151
License MIT Apache-2.0
Language C++ TypeScript
Last GitHub Commit 2mo ago 1mo ago
First Seen Jan 10, 2020 Aug 9, 2023

Reviews

Tableau Log Viewer

Tableau Log Viewer is a cross-platform tool designed to efficiently analyze Tableau log files, making it easier for users to troubleshoot and understand their data workflows. It offers a user-friendly interface and quick insights into log data, benefiting developers, administrators, and anyone working with Tableau logs.

The app helps users quickly analyze and understand Tableau log files for troubleshooting and insights.

Pros

  • + Efficient and user-friendly interface for log analysis
  • + Cross-platform compatibility for broader accessibility
  • + Active development and community support

Cons

  • - Lacks auto-update functionality
  • - Niche audience may limit its appeal

Chipmunk Log Analyzer & Viewer

Chipmunk is an open-source log analysis tool with a modern user interface, supporting various log formats and cloud integrations. It benefits developers and DevOps teams by providing a comprehensive solution for log visualization and management.

Visualizes, analyzes, and manages logs from different sources, offering real-time insights and integration capabilities.

Pros

  • + Open-source with a permissive Apache-2.0 license
  • + Modern and user-friendly interface
  • + Supports multiple log formats and cloud integrations
  • + Real-time log analysis capabilities
  • + Active development and recent updates

Cons

  • - High number of open issues may suggest complexity or maintenance concerns
  • - Appeals primarily to a niche audience of developers and DevOps professionals