report-creator 1.2.5

Create self-contained HTML reports from Python.

Report Creator

GitHub | PyPI | Documentation | Issues | Getting Started

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.

New in v1.2.5 create slide decks using rc.Deck() and rc.Slide() components. See the Deck example.

Talk to this repo using DeepWiki Report Creator

Use the documentation in Cursor, Windsurf, Claude Desktop or another MCP Client via the Context7 MCP for example

Create an html report on this dataframe, use context7

Features

Data & Visualization

• Deep Pandas Integration: Native support for DataFrames in Table, DataTable (searcheable/sortable), and Metric components.
• Interactive Plotting: Full support for Plotly figures with a custom theme for professional-looking charts by default.
• Matplotlib & Seaborn: Automatic detection and rendering of Matplotlib and Seaborn objects, with consistent styling using a context manager.
• Specialized Charts: Built-in components for Radar charts, Bar, Line, Pie, Scatter, Box, and Histogram.
• Advanced Metrics: Metric and MetricGroup for KPI displays, including EventMetric for time-series frequency analysis.

Content & Layout

• Rich Layout System: Flexible report structuring using rc.Block() (vertical) and rc.Group() (horizontal) stacks.
• Modern UI Components: Interactive elements like Accordion/Collapse sections and Select tabbed interfaces.
• Superior Markdown: Full GitHub Flavored Markdown (GFM) support, including Emojis, Math (LaTeX), and RST directives.
• Diagrams as Code: Native Mermaid.js support for flowcharts, sequence diagrams, and more, with built-in pan and zoom.

Technical Capabilities

• Syntax Highlighting: Code blocks with support for multiple languages including Sql, Python, Yaml, and Json.
• SQL Prettifier: Heuristic formatting for SQL queries to improve readability in reports.
• Smart Media Handling: Images and Galleries can be local, remote (fetched at build time), or Base64 encoded, with automatic styling.
• Self-Contained Output: Generates standalone HTML files that bundle only the required JavaScript dependencies (Plotly, DataTables, etc.).
• Deterministic Styling: Automatic, repeatable color generation for headings and labels to ensure visual consistency.

Example

import report_creator as rc

with rc.ReportCreator(
    title="My Report",
    description="My Report Description",
    footer="My Report Footer",
    accent_color="red",
) 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

This project has been configured for Claude Clode. These are entirely optional to use for development.

conda create -n rc -c conda-forge 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 doc
make doc

# 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.