Library to assemble reports in HTML from various components using python
- Good pandas/dataframe/table support
- Look modern
- Allows markdown as input for text blocks
- Allows html as input
- Components for things like metrics ("Accuracy: 87%") from a key & value
-
Support for plotting figures, interactive
plotly
andmatplotlib
- images (styled by the library) with an option to fetch at report build time (no fetch on render)
-
json
/yaml
/python
/java
code blocks with color syntax highlighting - Support tab containers (not printer friendly)
- Add support for any Jupyter widget, any object that renders in a notebook should render to a report
- Add built-in easy plotting that looks stylistically consistent with the report
- Add option to change the report icon based on a github account avatar, or an image
- Add a metric type for timeseries data which should some aggregate function of the data, and plot over time.
- Add diagram component with Mermaid JS
- Write documentation!
- Add a status metric that supports up to a handful of k/v pairs (k=task, v=status)
- Add bookmark anchors to blocks
- Add Footer to report
- Add log file block (https://github.com/jwodder/apachelogs) with analytics
- Add Radar chart
- Add choropleth map plot type (maybe?)
- Youtube embeds rc.Video(url: str, label: str)
- File attachments (downloadable dataset from page)
import report_creator as rc
with rc.ReportCreator(
title="My Report",
description="My Report Description",
footer="My Report Footer",
) as report:
view = rc.Block(
rc.Text("""It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of light, it was the season of darkness, it was the spring of hope, it was the winter of despair.""",
label="Charles Dickens, A Tale of Two Cities"),
rc.Group(
rc.Metric(
heading="Answer to Life, The Universe, and Everything",
value="42",
),
rc.Metric(
heading="Author",
value="Douglas Adams",
),
),
rc.Bar(px.data.medals_long(),
x="nation",
y="count",
dimension="medal",
label="Bar Chart - Olympic Medals",
),
rc.Scatter(
px.data.iris(),
x="sepal_width",
y="sepal_length",
dimension="species",
marginal="histogram",
label="Scatter Plot - Iris",
),
)
report.save(view, "report.html")
conda create --name rc python=3.12
conda activate rc
pip install -r requirements.txt -U
# recommended installs for code hygiene
pip install ruff
# build "kitchen_sink" example
make
# install local package
pip install -e .
# see dependency tree
pipdeptree --exclude pip,pipdeptree,setuptools,wheel,twine
- run
publish.sh
- 4/18/24 - no breaking changes, all changes should go through standard deprecation policies
- To render math you'll need to
pip install md4mathjax
pip install sphinx sphinx-autodoc-typehints sphinx-book-theme sphinx_copybutton sphinxcontrib-mermaid --upgrade