TechStack.txt

Best Tech Stack for Dynamic Data Typing SVG
1. Backend Language & Framework

Node.js + Express (or Fastify)
✅ Non-blocking, fast for I/O (API calls, caching).
✅ Easy deployment on Vercel/Render/Railway.
✅ Huge ecosystem for SVG, caching, and GitHub API.
🔹 Alternative: Python + FastAPI (cleaner, async-first, great for APIs).

👉 Recommendation: Node.js + Express (because this project is very similar to readme-typing-svg which already uses Node, and easy for contributors).

2. SVG Generation

Generate SVG dynamically using templates:

Handlebars / EJS (template engine for SVG strings).

Or use plain string interpolation.

Animation via <animate>, <tspan>, or <path>.

👉 Recommendation: Start with string-based SVG templates (lighter, no dependencies).

3. Data Layer (GitHub Data)

GitHub GraphQL API (preferred over REST → fewer calls, more data at once).

Authentication via GitHub PAT (Personal Access Token).

For many users:

MVP → Caching layer.

Scalable → GitHub Actions JSON file.

4. Caching Layer

Prevent API overuse, improve performance.
Options:

Redis → Best for production (in-memory, distributed).

SQLite / LowDB / JSON → Good for MVP, quick and simple.

👉 Recommendation:

MVP → In-memory + JSON file cache.

Production → Redis.