Various forms of data interchange

Text-Fabric can interchange data with MQL, see tf.convert.mql.

It has also support for converting streams of data to Text-Fabric format, see tf.convert.walker.

And there is support for round trips of TF data to annotation tools and back, see tf.convert.recorder.

You can explode plain TF files in big, non-optimized data files, see explode().

"""
# Various forms of data interchange

Text-Fabric can interchange data with MQL, see `tf.convert.mql`.

It has also support for converting streams of data to Text-Fabric format,
see `tf.convert.walker`.

And there is support for round trips of TF data to annotation tools and back,
see `tf.convert.recorder`.

You can *explode* plain TF files in big, non-optimized data files,
see `tf.convert.tf.explode`.
"""

Sub-modules

tf.convert.addnlp

Add data from an NLP pipeline …

tf.convert.app

tf.convert.helpers

tf.convert.mql

MQL …

tf.convert.pandas

Export a TF dataset to a Pandas dataframe …

tf.convert.recorder

Recorder …

tf.convert.tei

TEI import …

tf.convert.tf

Raw, unoptimized data from TF files

tf.convert.variants

Variants …

tf.convert.walker

Walker …

tf.convert.xml

XML import …

tf.convert.xmlCustom