The best way to create markdown-based data-rich stories
Write like you always do—then drop in live tables and charts. Flowershow renders local or external CSV files, so your posts stay readable and explorable.
- 🧩 MDX-first authoring
- Write in markdown; drop in table/plot components where you need them. Keep your content structure and frontmatter.
- 📊 CSV to Table
- Render local or external CSVs as interactive tables with sorting, filtering, and pagination.
- 📈 Quick Charts
- Line, bar, area, scatter—plot directly from CSVs with declarative props. No build steps or notebooks required.
- 🗂 Zero configuration
- Keep your existing folder structure. Flowershow works with any markdown organization.
- 🔁 Always up-to-date
- Point components at a CSV path or URL; update the file and your story updates with it.
- 🔍 SEO-friendly
- Clean markup, meta tags, and social cards so your work is discoverable and shareable.
Interactive tables
Point to a local or remote CSV and render a searchable, sortable table in one line of MDX.
<FlatUiTable
data={{ url: "/assets/global-co2-emissions.csv" }}
/>Line charts
Visualize trends and continuous changes over time with simple line charts. Pull columns by name and you’re done.
<LineChart
data={{ url: "/assets/global-co2-emissions.csv" }}
title="Global CO2 Emissions from fossil-fuels"
xAxis="Year"
yAxis="Total"
/>Bar charts
Compare discrete data points across different categories or groups with a bar chart.
<PlotlyBarChart
data={{
url: '/assets/global-co2-emissions-2010.csv'
}}
title="Emissions distribution in 2010"
xAxis="Type"
yAxis="Amount"
/>And more!
Check out other available data-rich components and start using them today!
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