This release introduces first-class support for sparse input data and processing using sparse-compatible libraries, primarily oriented towards data from event-based detectors. This support is provided through the new [sparseconverter](https://github.com/LiberTEM/sparseconverter) package, which was developed to enable efficient inter-conversion between different sparse formats and dense arrays. Many thanks in particular to Alexander Clausen and Dieter Weber for their extensive work on sparse support. See [Sparse arrays](https://libertem.github.io/LiberTEM/udf/advanced.html#sparse) for details on how to use it in your UDFs, and [Raw binary files in sparse CSR format](https://libertem.github.io/LiberTEM/reference/dataset.html#raw-csr) for a sparse input file format!
This release also marks the end of official support for Python 3.6 ([1369](https://github.com/LiberTEM/LiberTEM/issues/1369), [#1380](https://github.com/LiberTEM/LiberTEM/pull/1380)). At this time the maximum supported Python version remains 3.10 owing to usage of the [Numba library](https://numba.pydata.org/) within LiberTEM.
See [the changelog](https://libertem.github.io/LiberTEM/changelog.html#v0-11-0) for more details!