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‎docs/installation.md

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### Table of contents
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1. [Supported platforms and dependencies](#dependencies)
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2. [Desktop installation step-by-step guide](#desktop)
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3. [Server/command-line step-by-step guide](#cli)
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2. [Server/command-line step-by-step guide](#cli)
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3. [Desktop installation step-by-step guide](#desktop)
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4. [Detailed installation instructions](#detailed)
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1. [Conda](#conda)
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2. [PyPI](#pypi)
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- macOS x86 (Intel) and M (ARM) processors
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- Windows 64-bit, x86 processors
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### Desktop installation step-by-step guide <a name="desktop"></a>
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<iframe src="https://scribehow.com/embed/Install_PlantCV_via_Jupyter_Lab_Desktop__cS9d6VcxRcuDPGZxDfQycw" width="100%" height="640" allowfullscreen frameborder="0"></iframe>
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### Server/command line step-by-step guide <a name="cli"></a>
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Use the server/command line installation if you plan to create PlantCV workflows and run workflows in parallel.
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Click through our step-by-step guide below to install PlantCV through conda.
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### Server/command-line step-by-step guide <a name="cli"></a>
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<iframe src="https://scribehow.com/embed/Installing_PlantCV__MacOSLinux__awAP9Xm2SgWV4SMZadm9CQ" width="640" height="640" allowfullscreen frameborder="0"></iframe>
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!!!note
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Once you have installed PlantCV, to get started see our [guide to using PlantCV with Jupyter Notebooks](https://plantcv.readthedocs.io/en/stable/jupyter/)
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and our [guide to developing workflows in PlantCV](https://plantcv.readthedocs.io/en/stable/analysis_approach/#developing-image-processing-workflows-workflow-development).
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---
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### Desktop installation step-by-step guide <a name="desktop"></a>
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This is a simple install option if you would just like to test out PlantCV.
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If you plan to use PlantCV for your analyses and run your workflows in parallel, we recommend using the command line installation above.
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Click through our step-by-step guide below to install PlantCV through the JupyterLab Desktop app.
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<iframe src="https://scribehow.com/embed/Install_PlantCV_via_Jupyter_Lab_Desktop__cS9d6VcxRcuDPGZxDfQycw" width="100%" height="640" allowfullscreen frameborder="0"></iframe>
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---
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### Detailed installation instructions <a name="detailed"></a>
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PlantCV requires Python (tested with versions 3.9, 3.10, and 3.11) and these [Python packages](https://github.com/danforthcenter/plantcv/blob/main/pyproject.toml).

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