What is the main difference between tRPC and GraphQL?

tRPC is a TypeScript-first RPC framework that provides end-to-end type safety between your TypeScript server and client without code generation. GraphQL is a query language and runtime that allows clients to request exactly the data they need, with a strong ecosystem and language-agnostic support. tRPC is simpler for TypeScript monorepos; GraphQL is more suitable for public APIs and multi-client scenarios.

When should I use tRPC vs GraphQL?

Choose tRPC for TypeScript full-stack applications in a monorepo where both server and client are TypeScript — you get type safety without schema definition files or code generation. Choose GraphQL for public APIs consumed by multiple clients (mobile, web, third-party), when you need partial data fetching for bandwidth optimization, or when working in a polyglot environment.

Is tRPC faster than GraphQL?

tRPC has less overhead than a full GraphQL server because it avoids schema parsing and validation layers. For TypeScript full-stack apps, tRPC is also faster to develop due to no code generation step. GraphQL's performance depends heavily on implementation; well-optimized GraphQL servers with DataLoader can be very efficient.

Free Tool · GitHub Archive · 30-day data

tRPC vs GraphQL Comparison

tRPC vs GraphQL: end-to-end TypeScript vs query language. Schema evolution, tooling, and GitHub adoption — which API fits your stack.

trpc/trpc tRPC Recent public evaluation signal

graphql/graphql-js GraphQL Recent public evaluation signal

tRPC vs GraphQL: which should you choose?

tRPC eliminates the need for a schema by sharing TypeScript types end-to-end — perfect for monorepos and Next.js apps. GraphQL is the standard for public APIs and mobile backends requiring flexible queries. Real evaluation data shows where developer momentum sits.

A higher intent score means more developers are actively testing, forking, and contributing to that project right now. It’s the closest proxy we have to “which is gaining traction” without access to private usage data.

How the comparison works

This tool surfaces real developer evaluation activity from the last 30 days — PRs opened, issues filed, forks, and code pushes from non-team contributors. We run the same GitHub Archive query for both repos simultaneously (results cached 24h per repo), weight PRs (50%), issues (30%), and forks (20%) over stars, filter bots, and produce a 0–100 intent score. See the winner, score gap, and which developers are evaluating.

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