Generate report file from data file.
Stream Android and iOS logs without Android Studio or Console.app, with programmatic Node.js API for log analysis.
Runtime orchestration package for Maa log analysis.
Contract-first kernel package for Maa log analysis.
Node tools package for Maa log analysis.
Utility functions for log analysis, performance monitoring, and format conversion
A GEP-powered self-evolution engine for AI agents. Features automated log analysis and Genome Evolution Protocol (GEP) for auditable, reusable evolution assets.
CLI for local-first Apache/Nginx access log analysis.
Node.js wrapper for the Logoscope log analysis CLI
OpenCode plugin for AI-powered log analysis — inductive chunk analysis (log-insight) and deductive source-code-aware validation (log-validate)
MCP server for Logspace log analysis integration with AI models.
An unintrusive log analysis/debugging/profiling tool
MCP server for SessionRecorder log analysis integration with AI models.
Log analysis and processing tools for AI agents via MCP
A widget for for displaying log analysis results
Collects stdout and stderr messages from Node.js applications and sends them to the IBM SmartCloud Analytics - Log Analysis service.
```javascript // log-analysis 日志存放的路劲 log-analysis ../111/ ``` ### 带日志提取后，会自动打开网页，可以查看到所有的信息 
Log Agent Team MCP Server for log analysis
A web-based log explorer for [Pino](https://getpino.io/) logs. Pipe logs from any Node.js process and get full-text search, faceted filtering, keyboard shortcuts, Live Mode, and MCP integration for AI-powered log analysis.
A tool to easy out deployment and log analysis
MCP server for logcenter log analysis and query generation.
NeurOps CLI - AI-powered incident management and log analysis tool
Intelligent log analysis CLI tool supporting multiple AI models (DeepSeek, GLM, OpenAI, Anthropic) with 30+ built-in tools for file operations, system diagnostics, and log pattern recognition.
Local-first AI-powered log analysis tool with CLI and web dashboard
A zeek log analysis library implemented in Rust
MCP server for inspecting Claude Code subagent execution logs
Sequential pattern analysis through variable-order Markov chains. Built for detecting deviations in finite-alphabet sequences.
Analyze Claude session logs to identify AI agent usage patterns
Extract the essence of your logs — compress repetitive lines while preserving all unique information
Provides a CLI and library functions to analyze Slack message data exports (zipped JSONs with a Slack-specific structure) and plot statistics.
Structured log query CLI for JSON-lines, journald, and rotated log files. Part of the rustpunk portfolio.
Analyze AI coding assistant session logs to identify agent usage patterns
Compress logs for LLM analysis — CLI + MCP server
Core compression engine for logzip
This is a basic quadcopter Flight Controller implemented end to end using Copper components
Preprocess step of web mining
Log Analysis Tool
Sawmill is a logging and log analysis system for Ruby. It extends the basic Ruby logging facility with log records and parsing abilities.
Analysis data by git log
log data generator for learning log analysis, simulation, etc...
BindLogAnalyzer analyzes a Bind query log file and stores its data into a SQL database using ActiveRecord. It provides a fancy web interface to show some query stats and graphs.
Apache Crunch is an analysis tool for Apache logs. You write little scripts to do the analysis, using our DSL to make the procedure as simple and readable as possible. See our homepage for more details.
Provides a PostgreSQL query analysis in your development logs.
A dyno analysis tool for Heroku's HTTP log drains
Parse 'bullet' log files and converts them into CSV format for simplified analysis and storage.
Allows you to log your mdc and hashes to logstash and keep the key-values for later analysis
Request log analyzer's purpose is to find out how your web application is being used, how it performs and to focus your optimization efforts. This tool will parse all requests in the application's log file and aggregate the information. Once it is finished parsing the log file(s), it will show the requests that take op most server time using various metrics. It can also insert all parsed request information into a database so you can roll your own analysis. It supports Rails-, Merb- and Rack-based applications logs, Apache and Amazon S3 access logs and MySQL slow query logs out of the box, but file formats of other applications can easily be supported by supplying an easy to write log file format definition.
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