|PyPI| |Status| |Python Version| |License|
|Tests| |Codecov| |pre-commit| |Black|
.. |PyPI| image:: https://img.shields.io/pypi/v/dvc-render.svg :target: https://pypi.org/project/dvc-render/ :alt: PyPI .. |Status| image:: https://img.shields.io/pypi/status/dvc-render.svg :target: https://pypi.org/project/dvc-render/ :alt: Status .. |Python Version| image:: https://img.shields.io/pypi/pyversions/dvc-render :target: https://pypi.org/project/dvc-render :alt: Python Version .. |License| image:: https://img.shields.io/pypi/l/dvc-render :target: https://opensource.org/licenses/Apache-2.0 :alt: License .. |Tests| image:: https://github.com/iterative/dvc-render/workflows/Tests/badge.svg :target: https://github.com/iterative/dvc-render/actions?workflow=Tests :alt: Tests .. |Codecov| image:: https://codecov.io/gh/iterative/dvc-render/branch/main/graph/badge.svg :target: https://app.codecov.io/gh/iterative/dvc-render :alt: Codecov .. |pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white :target: https://github.com/pre-commit/pre-commit :alt: pre-commit .. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://github.com/psf/black :alt: Black
dvc-render is a library for rendering data stored in DVC plots format
into different output formats, like Vega. It can also generate HTML and MarkDown reports containing multiple plots.
It is used internally by DVC, DVCLive, and Studio_.
Take data stored in DVC plots format
_ alongside plot properties in order to render a plot in different formats.
Take multiple renderers and build an HTML or MarkDown report.
Support for rendering Vega_ plots using custom of pre-defined templates.
The basic usage of rendering Vega Plots doesn't have any dependencies outside
Python>=3.8
.
Additional features are specified as optional requirements:
You can install DVC render via pip from PyPI:
.. code:: console
$ pip install dvc-render
.. code-block:: python
from dvc_render import VegaRenderer
properties = {"template": "confusion", "x": "predicted", "y": "actual"}
datapoints = [
{"predicted": "B", "actual": "A"},
{"predicted": "A", "actual": "A"},
]
renderer = VegaRenderer(datapoints, "foo", **properties)
plot_content = renderer.get_filled_template()
plot_content
contains a valid Vega_ plot using the confusion matrix template.
.. code-block:: python
from dvc_render import render_html
render_html([renderer], "report.html")
Contributions are very welcome.
To learn more, see the Contributor Guide
_.
Distributed under the terms of the Apache 2.0 license
_,
DVC render is free and open source software.
If you encounter any problems,
please file an issue
_ along with a detailed description.
.. _Apache 2.0 license: https://opensource.org/licenses/Apache-2.0
.. _PyPI: https://pypi.org/
.. _file an issue: https://github.com/iterative/dvc-render/issues
.. _pip: https://pip.pypa.io/
.. github-only
.. _Contributor Guide: CONTRIBUTING.rst
.. _DVC: https://github.com/iterative/dvc
.. _DVCLive: https://github.com/iterative/dvclive
.. _Studio: https://github.com/iterative/studio
.. Vega: https://vega.github.io/
.. DVC plots format
: https://dvc.org/doc/user-guide/experiment-management/visualizing-plots#supported-plot-file-formats