# Orcaflex Post Processing

> Post-process OrcaFlex simulation results using OPP (OrcaFlex Post-Process). Use for extracting summary statistics, linked statistics, range graphs, time series, histograms, and generating interactive HTML reports from .sim files.

- Skill: `vamseeachanta/orcaflex-post-processing` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/orcaflex-post-processing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/orcaflex-post-processing/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Web & Frontend
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/orcaflex-post-processing

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# Orcaflex Post Processing

## When to Use

- Extracting summary statistics from simulation results
- Creating range graphs for motion/load envelopes
- Generating time series plots for specific variables
- Computing linked statistics (correlations between variables)
- Creating histogram distributions of results
- Building interactive HTML dashboards from simulation data
- Batch processing multiple .sim files in parallel

## Prerequisites

- OrcaFlex license (for reading .sim files)
- Completed simulations in `.sim/` directory
- Python environment with `digitalmodel` package installed

## Python API

### Basic Post-Processing

```python
from digitalmodel.orcaflex.opp import OrcaFlexPostProcess

# Initialize post-processor
opp = OrcaFlexPostProcess()

# Load configuration
cfg = {
    "orcaflex": {
        "postprocess": {

*See sub-skills for full details.*
### Batch Processing with Parallel Execution

```python
from digitalmodel.orcaflex.opp import OrcaFlexPostProcess
from concurrent.futures import ProcessPoolExecutor
from pathlib import Path

opp = OrcaFlexPostProcess()

# Get all .sim files
sim_files = list(Path("results/.sim/").glob("*.sim"))


*See sub-skills for full details.*
### Extract Specific Results

```python
from digitalmodel.orcaflex.orcaflex_utilities import OrcaflexUtilities

utils = OrcaflexUtilities()

# Load simulation
model, metadata = utils.get_model_and_metadata("simulation.sim")

# Get time history
line = model["Line1"]

*See sub-skills for full details.*

## Related Skills

- [orcaflex-modeling](../orcaflex-modeling/SKILL.md) - Run OrcaFlex simulations
- [mooring-design](../mooring-design/SKILL.md) - Mooring system design
- [fatigue-analysis](../fatigue-analysis/SKILL.md) - Fatigue assessment

## References

- OrcaFlex Results Documentation
- OrcFxAPI Python Guide
- Workspace HTML Reporting Standards: `docs/modules/standards/HTML_REPORTING_STANDARDS.md`

## Sub-Skills

- [Efficient Processing (+2)](efficient-processing/SKILL.md)

## Sub-Skills

- [Error Handling](error-handling/SKILL.md)

## Sub-Skills

- [Version Metadata](version-metadata/SKILL.md)
- [[1.0.0] - 2026-01-07](100-2026-01-07/SKILL.md)
- [1. Summary Statistics (+4)](1-summary-statistics/SKILL.md)
- [Complete Post-Processing Configuration (+1)](complete-post-processing-configuration/SKILL.md)
- [CSV Output (+2)](csv-output/SKILL.md)
- [Parallel Processing Details](parallel-processing-details/SKILL.md)
- [Common Vessel Variables (+2)](common-vessel-variables/SKILL.md)