Stack selection

Use when: You want a Python backend with maximum flexibility. Best for AI/ML workloads, rapid iteration, and teams that know Python.

Not for: Teams that want strongly-typed APIs or expect >10k req/sec on a single instance.

Use when: You need auto-generated OpenAPI docs, async endpoints, or Pydantic validation. Faster than Flask for I/O-heavy workloads.

Not for: Teams unfamiliar with async Python or who prefer synchronous request handling.

Use when: You want a full TypeScript stack with decorators, dependency injection, and opinionated module structure. Familiar to Angular teams.

Not for: Small teams or projects where TypeScript ceremony outweighs the benefits.

Use when: Your team knows PHP or you're running on shared hosting. Laravel's Eloquent ORM and queues are production-grade.

Not for: Teams without PHP experience or deploying to containerised infrastructure only.

Use when: You want Django's admin panel, ORM migrations, and 20 years of battle-tested patterns. Good for content-heavy or data-admin apps.

Not for: Apps that need a lightweight API layer without the Django monolith overhead.

Use when: Your team knows Ruby. Rails' Active Record and generators produce CRUD faster than any other framework.

Not for: Teams that prefer explicit configuration or have no Ruby experience.

Use when: Your org runs on Azure, uses SQL Server, or has existing .NET services to integrate with.

Not for: Open-source or Linux-first deployments where .NET tooling adds friction.

Use when: You need sub-millisecond latency, low memory footprint, or are building a high-throughput service.

Not for: Rapid prototyping — Go's verbosity means slower initial development than scripting languages.

Use when: Your org has Java standards, JVM tooling, or existing Spring services.

Not for: Startups — Spring's boilerplate slows iteration compared to Python or Node stacks.