At ZenML we believe that annotation and labelling workflows are a core part of
the machine learning lifecycle. As an open-source tool, we wanted to highlight
and recognize the variety of tools that are available to help your workflows
become more data-centric. We had three core criteria to decide whether a
particular tool could make it into the list:
The tool has an open-source licence.
The tool is actively maintained.
The tool is functional and fit for purpose.
We welcome contributions to this list, so if you know of a tool that
we've missed or if you've built one yourself, please do create a PR!
🔥 Do you use these tools or do you want to add one to your MLOps stack? At
ZenML, we are looking for design partnerships and collaboration to develop the
integrations and workflows around using annotation within the MLOps lifecycle.
If you'd like to learn more, please join our
Slack and leave us a message!
A web/desktop app for editing and annotating images, text, audio, documents and to view and edit any data defined in the extensible .udt.json and .udt.csv standard
A software tool for the visualization and annotation of 3D image data and was developed for the rapid reconstruction of neural morphology and connectivity
A stand-alone software package for translation of individual tumor genomes for precision cancer medicine
MIT
Acknowledgements
Thanks to the creators of
theseotherrepositories (and this
one!) for getting us
going down the path of creating our own. I used these efforts to get started in
my survey of the space before adding, updating and pruning as per the
open-source and other criteria specified above.