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+# classconvergence
+
+[![DOI](https://zenodo.org/badge/DOI/)](https://doi.org/)
+
+Plot the class distribution as a function of iteration from a Class2D or Class3D
+job from RELION.
+
+This tool was tested with star files produced by RELION-3.1.0. Earlier versions
+of RELION are not supported.
+
+## Acknowledgments
+
+I would not have been able to put this tool together without the
+[`starfile`](https://github.com/alisterburt/starfile) library.
+
+## Installation
+
+I recommend to install this tool in a dedicated conda environment. You can
+create one like so (replace `ENV_NAME` with the name you want to give to this
+environment):
+
+```
+$ conda deactivate
+$ conda create --name ENV_NAME python=3.9
+$ conda activate ENV_NAME
+```
+
+Once the conda environment is active, you can install the tool with the
+following command:
+
+```
+$ pip install classconvergence
+```
+
+## Usage
+
+```
+$ classconvergence --help
+Usage: classconvergence [OPTIONS] <job_directory>
+
+  Plot the class distribution as a function of iteration from a Class2D or
+  Class3D job from RELION.
+
+Options:
+  -c, --count        Plot particle counts per class (default, same effect as
+                     not passing any option).
+
+  -p, --percent      Plot percentages of particles per class (default:
+                     counts).
+
+  -o, --output TEXT  File name to save the plot (optional: with no file name,
+                     simply display the plot on screen without saving it;
+                     recommended file formats: .png, .pdf, .svg or any format
+                     supported by matplotlib).
+
+  -h, --help         Show this message and exit.
+```