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|PyPI Version| |Build Status| |Coverage Status|
DCKit is a graphical toolkit for performing several data editing
tasks that would otherwise be only available via the
dclab command-line interface <https://dclab.readthedocs.io/en/stable/sec_cli.html>__
or (for the .rtdc file format) via external tools such as
HDFView <https://www.hdfgroup.org/downloads/hdfview/>__.
A Windows installer and macOS packages are available from the
release page <https://github.com/DC-analysis/DCKit/releases>__.
If you have Python 3 installed, you may also use pip to install DCKit:
::
# install dckit
pip install dckit
# run dckit
dckit
The interface is mostly self-explanatory. Add measurements via the options
in the File menu or by drag-and-dropping files into DCKit. You may edit
entries in the Sample column and apply the changes via the
Update sample names button on the right.
::
pip install -e .
python -m pytest tests
.. |DCKit| image:: https://raw.github.com/DC-analysis/DCKit/master/docs/logo/dckit_h50.png .. |PyPI Version| image:: https://img.shields.io/pypi/v/dckit.svg :target: https://pypi.python.org/pypi/dckit .. |Build Status| image:: https://img.shields.io/github/actions/workflow/status/DC-analysis/DCKit/check.yml :target: https://github.com/DC-analysis/DCKit/actions?query=workflow%3AChecks .. |Coverage Status| image:: https://img.shields.io/codecov/c/github/DC-analysis/DCKit/master.svg :target: https://codecov.io/gh/DC-analysis/DCKit
FAQs
Graphical toolkit for RT-DC data management
We found that dckit demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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