How to Install RDEToolKit
Purpose
This guide explains the procedures for installing RDEToolKit in your Python environment. Multiple installation methods are provided for both development and production use.
Prerequisites
Before installing RDEToolKit, confirm the following:
- Python: Version 3.10 or higher
- pip: Latest version recommended
- Internet Connection: Needed to download packages from PyPI
Python 3.9 Support Removed
Important: Python 3.9 support was removed in rdetoolkit v1.6.0. Users on Python 3.9 should use rdetoolkit v1.5.x or earlier.
Required Action: Upgrade to Python 3.10 or later to use rdetoolkit v1.6.0+.
Supported Versions:
- Python 3.9: Not supported (use v1.5.x or earlier)
- Python 3.10+: Fully supported
Checking Your Python Environment
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Steps
1. Standard Installation
Install the stable release from PyPI.
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2. Installation with MinIO Support
Install extra dependencies if you use object storage (MinIO).
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3. Installation with Plotly Support
Plotly is a visualization library that generates interactive graphs and dashboards (operable dynamically in a web browser). Install extras if you need Plotly features in RDEToolKit.
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4. Development Version Installation
Install the latest development version directly from GitHub.
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Development Version Notice
Development versions may be unstable. Use the stable release in production.
5. Installation in a Virtual Environment
Create an isolated environment per project.
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Verification
Installation Check
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Expected example:
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Basic Functionality Test
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Troubleshooting
Dependency Conflicts
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Solution: Use a clean virtual environment
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Related Information
Next steps:
- Quick Start - Run your first structured processing
- Configuration File - Customize behavior settings
- API Reference - Detailed feature descriptions