Comparison — where GoFastr sits

GoFastr's claim, stated narrowly: one blueprint becomes a
server-rendered UI and a REST API with secure scopes — generated as
plain Go you read, commit, and own.
Several excellent tools cover
parts of that sentence; as far as we can tell, none in the Go ecosystem
covers all of it. This page maps the neighbours honestly — including
the ways they are better — so you can pick the right tool, which is
sometimes not this one.

A note on "MCP tools from your schema": that was a differentiator in
early 2025 and is table stakes now — Supabase ships an MCP server,
PocketBase has community MCP servers, FastAPI has FastAPI-MCP. GoFastr
generates MCP tools too, but that's supporting evidence, not the
wedge. The wedge is the owned-codegen full-stack pipeline.

vs PocketBase

What PocketBase is: a superb runtime BaaS — one prebuilt binary
with embedded SQLite, an admin dashboard, auth, files, and realtime.
You configure collections at runtime through the dashboard; you extend
it by writing hooks (Go or JS) that run inside PocketBase's
lifecycle.

The difference in kind: PocketBase is a host you configure;
GoFastr is a scaffold-and-own generator plus library. A gofastr.yml
blueprint scaffolds owned Go source (main.go, entities/,
blueprint/) that you commit, diff in code review, debug with a
debugger, and refactor like any other package. There is no runtime schema
store — and no canonical declaration you live inside: the blueprint is a
one-way on-ramp you can delete once the code is yours, and the escape
hatch is net/http, not a plugin API.

Choose PocketBase when you want a backend in five minutes, the
admin dashboard is the product, and you're happy living inside its
extension points. It is more mature, far more battle-tested, and has a
large community. Choose GoFastr when the output needs to be a Go
codebase your team (or your agents) own and evolve — and you want the
server-rendered UI generated from the same declaration as the API.

vs Encore.go

What Encore is: a polished Go backend framework where
infrastructure (Pub/Sub, cron, secrets, databases) is declared in code
and provisioned by Encore's tooling, with excellent tracing and a
dashboard. It's commercially backed and significantly more mature.

The difference in kind: Encore's full value flows through its
platform — its build system, its cloud/self-hosted runtime, its
dashboard. GoFastr has no platform: go build emits a single static
binary that runs anywhere a binary runs, and nothing phones home. The
trade is real in both directions — Encore gives you provisioned infra
and distributed tracing out of the box; GoFastr gives you zero
coupling and a plain go.mod.

Also a scope difference: Encore is backend-first; GoFastr
generates the server-rendered UI (screens, nav, islands) from the same
blueprint as the API. Choose Encore when you want managed-feeling
infra and a mature toolchain. Choose GoFastr when you want nothing
between your binary and your VPS.

vs Wasp

What Wasp is: the closest thing to the same thesis — a main.wasp
declaration compiles to a full-stack app (auth, CRUD, jobs, email),
and "the framework for the AI era" is literally their tagline. Wasp is
more mature, has a team, a community, and production users.

The difference in kind: the generator philosophy, then the runtime
model. Wasp (like Encore and Amplify) is a canonical-declaration tool —
main.wasp is the program; you live in it and regenerate from it, and
the emitted code is the tool's, not yours to hand-edit. GoFastr is
scaffold-and-own: the blueprint is a one-way on-ramp that emits idiomatic
Go you then own and edit; re-running generate is add-only and never
clobbers your edits, and you can delete the blueprint entirely once the
code is yours. The trade is real — a canonical declaration promises "no
drift" because there's one source; scaffold-and-own trades that for a
plain Go codebase with no second language to grow into. On top of that
sits the runtime difference: Wasp targets JS/TS — React SPA + Node +
Prisma — while GoFastr is the Go counterpart: SSR-first HTML with island
hydration instead of a client-side React app, one static binary instead of
a Node deployment, database/sql instead of an ORM. If you're a
TypeScript shop, Wasp is the obvious pick. If you want this thesis with
Go's deployment story, compile-time guarantees, and owned output, that's
the gap GoFastr exists to fill.

vs hand-rolled Gin/Echo + sqlc

What hand-rolling is: the Go default, and often the right call —
maximal control, zero framework risk, every line auditable.

What you write yourself: the glue. Per-entity CRUD handlers,
request validation, filtering/sorting/pagination math, batch
endpoints, cursor paging, OpenAPI annotations kept in sync by hand, an
MCP server if agents need tools, migrations, per-user scoping enforced
in every query, RBAC checks in every handler, and any admin/UI layer.
That glue is exactly what one entity declaration generates here — and
because the output is plain Go on disk, "framework in the way" has the
same exit as hand-rolling: delete the declaration, keep the code,
write net/http.

Choose hand-rolling when the domain is small, the endpoints are
few, or the requirements are unusual enough that generated CRUD is
noise. Choose GoFastr when the app is CRUD-heavy and the glue
would dominate the diff.

What GoFastr does not have (read before adopting)

  • It's v0.x. Breaking changes happen between releases; pin a
    version. The v1.0.0 tag will mark the stability promise.
  • No external production adopters yet. The pipeline is proven by
    the repo's own tooling, docs site, and the
    examples/ecommerce
    flagship — not by someone else's production traffic. This is a
    thesis framework and says so.
  • Solo maintainer. Bus factor of one. Issues get read; SLAs don't
    exist.
  • SQLite and Postgres only. No MySQL, no MongoDB.
  • No hosted anything. No cloud, no dashboard-as-a-service, no
    telemetry. That's a feature here, but if you want Encore's or
    Supabase's managed experience, this isn't it.
  • Small community. The docs are extensive and embedded in the
    binary (gofastr docs), but you won't find a thousand Stack
    Overflow answers.

If those trade-offs read as disqualifying for your context, the tools
above are genuinely good — use them. If they read as acceptable for a
v0.x bet on owned, generated Go, start with the
blueprint tutorial.

Common mistakes

  • Evaluating GoFastr as a BaaS. There's no runtime collection
    editor; the blueprint is a compile-time scaffold input, not a live
    schema store. And it isn't a source you keep round-tripping either —
    once it scaffolds the owned Go, that Go is canonical; you edit it
    directly and redeploy (you can delete the blueprint).
  • Assuming MCP support is the differentiator. It isn't anymore;
    most schema-bearing platforms expose MCP. Compare the codegen
    pipeline and ownership story instead.
  • Comparing maturity 1:1. Every alternative on this page is more
    mature. The honest pitch is the wedge plus the trade-offs above, not
    feature parity.