Explore and label on a map of your data.
Get enough to feed your model in no time.
hover
is a tool for mass-labeling data points that can be represented by vectors.
- Labeling is as easy as coloring a scatter plot.
- Hover your mouse and lasso-select to inspect any cluster.
- Use a variety of widgets to narrow down further.
- Enter a suitable label and hit "Apply"!
- edit & run code in your browser to get a labeling interface, with guides along the way.
- go directly to an example labeling interface hosted on Binder.
It's fast because it labels data in bulk.
๐ญ A semantic scatter plot of your data for labeling, equipped with
It's accurate because multiple components work together.
๐ฌ Supplementary views to use in conjunction with the annotator, including
It's flexible (and fun!) because the process never gets old.
๐งฐ Additional tools and options that allow you to
Python: 3.8+
OS: Linux & Mac & Windows
PyPI: pip install hover
Conda: conda install -c conda-forge hover
- Jan 21, 2023 version 0.8.0 is now available. Check out the changelog for details ๐ฅณ.
- Thanks to
Bokeh
becausehover
would not exist without linked plots and callbacks, or be nearly as good without embeddable server apps. - Thanks to Philip Vollet for sharing
hover
with the community even when it was really green.
- All feedbacks are welcome, especially what you find lacking and want it fixed!
./requirements-dev.txt
lists required packages for development.- Pull requests are advised to use a superset of the pre-commit hooks listed in .pre-commit-config.yaml.
If you have found hover
useful to your work, please let us know ๐ค
@misc{hover,
title={{hover}: label data at scale},
url={https://github.com/phurwicz/hover},
note={Open software from https://github.com/phurwicz/hover},
author={
Pavel Hurwicz and
Haochuan Wei},
year={2021},
}