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opp-repl-result-analysis

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Analyze OMNeT++ results from completed runs.

Data & Analytics#simulation#pandas#vectors#results#scalars#opp_repl#omnetpp
Authortabgab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Read and consolidate OMNeT++ simulation results produced by opp_repl into analytics-ready data frames for downstream analysis.

Core Features & Use Cases

  • Read per-run scalar, vector, and histogram data and convert them into Pandas DataFrames for quick exploration.
  • Supports multiple pathways: the current opp_repl result API (scalars/vectors/histograms), the opp_scavetool CLI for shell and CI workflows, and the OMNeT++ Python API for legacy setups.
  • Includes a bundled script to extract scalars from a results directory to enable automation in shells or CI.

Quick Start

Load a completed run's results and obtain a combined DataFrame of scalar values.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: opp-repl-result-analysis
Download link: https://github.com/tabgab/opp_repl-skill/archive/main.zip#opp-repl-result-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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