What backend do you use for your React project?

This page summarizes the projects mentioned and recommended in the original post on /r/reactjs

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  • redwood

    The App Framework for Startups

  • Im part of the core team over at redwoodjs which is a fullstack javascript framework with react on the frontend. Highly recommend it if you are looking at bootstrapping a quick app. Currently my grapqhl api runs off of a netlfiy lambda function and I use a hosted db via supabase.

  • payload

    The best way to build a modern backend + admin UI. No black magic, all TypeScript, and fully open-source, Payload is both an app framework and a headless CMS.

  • I am one of Payload's founders—it's a TypeScript application framework / headless CMS. We use Payload whenever we can, from app backends to SaaS billing architectures to regular old CMS. It pairs perfectly with React!

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Hasura

    Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.

  • Hasura as of late (fits into the BaaS category, though can be extended with other services easily)

  • rust

    Empowering everyone to build reliable and efficient software.

  • Also, in terms of compile times, there's active work on bringing in alternative compiler backends. Most of the compile time is spent in LLVM or the linker, so switching to Cranelift (during local development) or GCC will give some improvements: https://github.com/rust-lang/rust/pull/77975

  • book

    The Rust Programming Language

  • If you're at all interested, I definitely recommend reading through a few chapters of The Rust Book: https://doc.rust-lang.org/book/ More resources: https://www.rust-lang.org/learn

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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