From Local App to Public Website in Minutes

· Source: Towards Data Science · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Intermediate, medium

Summary

The article demonstrates three completely free methods to quickly deploy a simple static web app, specifically a browser game named "Starline Defender" generated by Codex, making it publicly available online. It covers GitHub Pages, here.now, and Hugging Face Spaces. GitHub Pages is presented as a classic choice for projects already on GitHub, offering free hosting for public repositories with HTTPS. here.now provides a very fast publishing flow suitable for quick demos, supporting temporary or permanent URLs with an API key. Hugging Face Spaces, while primarily known for machine learning demos, also hosts static HTML apps, fitting well for AI-related projects, though its deployment steps are slightly more complex and result in a platform-specific URL. All methods are suitable for low-traffic, simple static sites.

Key takeaway

For web developers or AI engineers needing to quickly share a static web application, you have robust free deployment options. Consider GitHub Pages if your project is already Git-managed, here.now for rapid demos and previews, or Hugging Face Spaces if integrating with ML-related work. These platforms offer straightforward workflows for making simple HTML/CSS/JavaScript apps publicly available without incurring hosting costs, ideal for portfolios or small experiments.

Key insights

Static web apps can be quickly deployed for free using GitHub Pages, here.now, or Hugging Face Spaces for public access.

Principles

Method

Deploying a static web app involves preparing a single "index.html" file, initializing a Git repository, committing the file, and pushing it to a chosen platform (GitHub Pages, here.now, or Hugging Face Spaces) with specific configuration settings.

In practice

Topics

Code references

Best for: Software Engineer, AI Engineer, DevOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Towards Data Science.