Introduction
Preswald, a Y Combinator-backed platform, lets you build interactive data apps with Python in minutes—without writing a line of JavaScript. It also enables exporting static sites and deploying your apps anywhere, making data storytelling accessible to a broad audience.
Why Preswald matters
- No-JavaScript required: Preserve the power of Python while delivering rich, interactive dashboards to users who don’t know or care about frontend code.
- Fast to ship: From idea to interactive data app in minutes, enabling faster experimentation and clearer data storytelling.
- Deploy anywhere: Built-in flexibility to deploy on your preferred hosting platform, whether private servers, cloud providers, or static hosting.
- Static export for reliability: Generate complete static sites with preswald export, simplifying hosting and scalability while preserving interactivity.
Getting started
- Install and scaffold:
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- Install the package: pip install preswald
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- Initialize your app: preswald init my_app
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- Build your app: Start from a Python-centric definition of your data, charts, filters, and interactions. Your data analysis becomes interactive instantly, with features like filters, sorting, and exploration available in the UI.
- No JavaScript needed: All interactivity is powered by Python logic, removing the typical JavaScript handoffs and complexity.
Build an interactive data app in minutes (illustrative example)
Example: Sales Analytics Dashboard
- Data sources: sales metrics, region, and time range.
- Interactive components: a range slider for time, a category filter, and multiple visualizations (charts and a data table).
- How it works: Define Python-based callbacks to update charts and tables when users adjust filters. The result is an engaging, data-first experience that anyone on the team can use—no frontend code required.
- Outcome: Stakeholders can explore performance, compare regions, and identify trends in real time, directly from a browser.
Exporting and deployment
- Export a static site: Run preswald export to generate a complete static website. This streamlines hosting and reduces runtime requirements.
- Deploy anywhere: After export, you can deploy to any hosting platform that serves static sites, or integrate with traditional hosting workflows.
Real-world use cases
- Marketing and product teams: Create campaigns dashboards that non-technical teammates can filter and explore, enabling faster decision-making.
- Academia and research: Share interactive data analyses with collaborators via static sites that retain interactivity without server-side code.
- Startups and SMEs: Rapidly prototype data apps, iterate on insights, and publish shareable dashboards to stakeholders or customers.
Conclusion
Preswald makes data storytelling practical for a broad audience by letting you build interactive data apps with Python in minutes, with zero JavaScript. Backed by Y Combinator, it combines the ease of Python with the flexibility to deploy anywhere and export static sites, helping teams turn data into actionable insights faster than ever.
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