Report Creator

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Library to assemble reports in HTML from various components using python. This is not meant to be a replacement for do-it-yourself HTML, it's a tool to put together professional looking reports from python easily and quickly. The philosophy for layout is that components flow in either the horizontal (rc.Group()) or Vertical (rc.Block()) direction.

⚡ Features

• 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 and matplotlib
• images (styled by the library) with an option to fetch at report build time (no fetch on render)
• json/yaml/python/java/prolog/plaintext code blocks with color syntax highlighting

⚡ Example

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")

🤗 Development

conda create --name rc python=3.13
conda activate rc
make setup

# recommended for code hygiene
make format

# install as a local package:
python3 -m pip install -e .

# see dependency tree:
pipdeptree --exclude pip,pipdeptree,setuptools,wheel,twine

# build examples:
make examples

# build a *specific* example:
make examples EXAMPLES=examples/myreport.py

# run tests
make tests

# build docs
make docs

# release new version
make release

# show list of make targets
make targets

Get in touch

This project is under active development

• Report bugs via GitHub Issues.
• Chat with the maintainers on Discord.