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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 for:

• Filter usage
• Placeholders
• Python functions
• Docker usage

Examples for the additional libraries:

• scikit-learn
• Visualization