libconfig-model-perl
module for describing and editing configuration data
Config::Model is a Perl framework that enables project developers to provide
an interactive configuration system for their software. It supports various
frontend interfaces (graphical, curses-based or plain terminal) to users. It
handles configuration files semantically rather than syntactically, meaning
that developers can specify the structure and constraints of the data along
with a mechanism to read and write the files.
ewf-tools
collection of tools for reading and writing EWF files
Libewf is a library with support for reading and writing the Expert Witness
Compression Format (EWF).
This library allows you to read media information of EWF files in the SMART
(EWF-S01) format and the EnCase (EWF-E01) format. It supports files created
by EnCase 1 to 6, linen and FTK Imager. The libewf is useful for forensics
investigations.
libewf2
library with support for Expert Witness Compression Format
Libewf is a library with support for reading and writing the Expert Witness
Compression Format (EWF).
This library allows you to read media information of EWF files in the SMART
(EWF-S01) format and the EnCase (EWF-E01) format. It supports files created
by EnCase 1 to 6, linen and FTK Imager. The libewf is useful for forensics
investigations.
python3-nibabel
Python3 bindings to various neuroimaging data formats
NiBabel provides read and write access to some common medical and
neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI,
NIfTI1, MINC, as well as PAR/REC. The various image format classes give full
or selective access to header (meta) information and access to the image data
is made available via NumPy arrays. NiBabel is the successor of PyNIfTI.
erlang-meck
mocking library for Erlang
With meck you can easily mock modules in Erlang.
You can also perform some basic validations on the mocked modules, such as
making sure no unexpected exceptions occurred or looking at the call history.
python3-pybel
Biological Expression Language
PyBEL is a pure Python package for parsing and handling biological
networks encoded in the Biological Expression Language (BEL) version
2. It also facilitates data interchange between common formats and
databases such as NetworkX, JSON, CSV, SIF, Cytoscape, CX, NDEx, SQL,
and Neo4J.