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The spectral-data-converter library (and its dependent libraries) can be used for converting spectral data from one format into another.

Please refer to the dataset formats section for more details on supported formats.

But the library does not just convert data formats, you can also slot in complex filter pipelines to process/clean the data.

On this website you can find examples and documentation for:

• Filter usage
• Placeholders
• Execution control
• External functions
• Multiple I/O
• ZIP files
• Direct I/O
• Email
• File handling
• Temporary storage
• Docker usage

Examples for the additional libraries:

• scikit-learn
• Visualization