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 # _concore_ tools
 
 A collection of utility methods and toolkits for _concore_.
+
+## Plotting Tools
+
+This directory includes several standard Python scripts for visualizing your simulation data:
+* **`plotym.py`**: This script visualizes the measured outputs of the physiological model over the course of the simulation.
+* **`plotymlag.py`**: Plots outputs utilizing a configurable lag buffer.
+* **`plotu.py`**: This script visualizes the control signals being generated by the controller node.Specifically, this script generates a 3x2 grid to track neuromodulation stimulation parameters across three different channels, displaying the Pulse Width (Pw) in seconds and Pulse Frequency (Pf) in Hz for each channel.
+
+### Real-Time Plotting
+
+By default, these scripts collect data silently during the simulation and render a single static graph when the simulation completes. 
+
+You can enable **real-time dynamic plotting** by passing the `realtime=True` parameter to your simulation. This opens an interactive Matplotlib window that updates continuously as the simulation runs.
+
+#### How to enable real-time plotting
+
+After generating and building your workflow, navigate to your generated output directory (usually `out/`). Use the generated `params` script to set the parameter *before* starting the run script:
+
+**POSIX (Linux / macOS):**
+```bash
+cd <your-study>
+./params "realtime=True"
+./run or ./debug
+```
+
+**Windows:**
+```bash
+cd <your-study>
+.\params "realtime=True"
+.\run or .\debug
+```
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