Alternatives

Products that do what Hyper Fetch does

Framework for data exchange, async state management and more

1. 1
   Learning GraphQL and Relay▲78

   Build data-driven React applications with GraphQL and Relay

   2017

2. 2
   Backlog Grooming by Standuply▲137

   Asynchronous backlog grooming via Slack task-based surveys

   2019

3. 3
   Reshuffle▲173

   The place to share and find live open source code in seconds

   2019

4. 4RI
   Restdb.io – a plug and play database service▲101

   2016 · restdb.io

5. 5RR
   React Resolver – Async Rendering and Data-Fetching for React▲33

   2015 · github.com

6. 6ER
   Erlang REST framework▲96

   2017 · github.com

7. 7FD
   Fast database for React Native with multiple data-type support▲45

   2020 · github.com

8. 8RF
   Reactable – fast, flexible, and simple data tables in React▲44

   2014 · github.com

9. 9SA
   Stash, a graph-based cache for Node.js and Redis▲56

   Last night, while trying to figure out the best way to implement caching in my app, I had an idea for a dirt-simple caching system based on a dependency graph. The premise I started with is that one of the hardest things to manage in a cache is dependencies between entities. In order to cache items effectively, you inevitably have to duplicate "child" data inside of "parent" entries. Then, when a child is changed, you have to invalidate the child and its parents, and its parents' parents, and so on. To try to help this, I hacked together a simple Node.js library called Stash, which models…

   2012

10. 10IM
    I made a fetch client builder to make API calls simpler and safer▲8

    I built this library because I kept rewriting the same fetch wrapper for every project. Each time, I needed the same core features: - Make fetch throw errors to integrate smoothly with libraries like TanStack Query - Add sensible defaults to the Fetch API, like a base URL and authentication headers - Validate responses for type safety when OpenAPI isn’t an option I also wanted the library to feel exactly like using fetch — no new API to learn, and no extra friction for my teammates. While there are other great options out there, I found many were either too rigid or too bulky. Doesn’t it…

    2025 · github.com

11. 11SA
    Serverless async back ends for compute-heavy operations▲5

    Hi HN, we’re Jessie and Eric. We’ve been baking away at Cakework (https://www.cakework.com/), which is a way to build async backends without needing to manage cloud infrastructure. Cakework is for operations that take time or more compute, like file processing, report generation, or machine learning. Devs write backends as Python functions and deploy them with our CLI. They use our client SDKs to make requests, get status, and get processing results. Each request runs with its own CPU and memory parameters in its own microVM, with no timeouts. Devs can query for failures and…

    2023 · cakework.com

12. 12RN
    Rocket – Node.js React MongoDB SaaS Boilerplate with Auth,Users,Billing▲26

    2021 · rocketapp.me

13. 13RU
    [ReactJS] Ultra-High Performance Reactive State-Management▲13

    2020 · github.com

14. 14RC
    React Component Caching, a React 16 SSR library with component caching▲5

    2018 · github.com

15. 15FF
    Fastflux – Functional reactive state management for React▲22

    2015 · github.com

16. 16DR
    DuckDB + React = SQLRooms Framework for Analytics Apps Without Backend▲9

    We’ve built SQLRooms, an open-source framework for creating single-node data analytics apps powered by DuckDB. It lets you build fully client-side, data-centric apps using React and DuckDB running in the browser (via WebAssembly) or in Electron. No server or backend is required — apps can work offline, preserve data privacy, and run queries on large datasets with sub-second performance. Features: - Query large datasets in browser with DuckDB (WASM) - Modular design for building composable data UIs (query editors, dashboards, notebooks, etc.) - Data privacy-preserving AI assistant that can…

    2025 · sqlrooms.org

17. 17CH
    Cache Horse: An HTTP cache/batch service▲5

    Hi, I'm fiiv, and I'm the creator of Cache Horse. I built it because I wanted an easy plug-n-play solution to caching and simplifying HTTP requests - in particular, on frontend. First, I was fetching data like daily weather, historic currency exchange numbers, air quality readings - and many of those APIs have quota limits. And second, since I was already caching them, I thought it would be useful to batch them together - so I built that feature in. I would love to hear your feedback and thoughts on the project. Thanks!

    2025 · cache.horse

18. 18CA
    Created a Node.js's addon that can handle 1M req/s▲7

    I’ve been experimenting with building a Node.js HTTP framework using Rust + Hyper with N-Api. The project started as a fully synchronous server, but I recently patched it to support async (Tokio/Hyper). That change alone nearly doubled throughput in benchmarks. What’s different: * Built directly on Hyper, no heavy abstraction * napi glue for Node.js bindings * Minimal core (sync and async engines side-by-side) * Focused on raw performance, not plugins (yet) This is still experimental and not production-ready. I’d like feedback on: * Async API design — does it feel ergonomic? *…

    2025

19. 192R
    2kB React state management library using the new Context API▲10

    2018 · github.com

20. 20YA
    Yet Another Forum Base on React, Go and PostgreSQL▲6

    2019 · github.com

21. 21UH
    Ultra High Performance Reactive State-Management in React▲13

    2020 · github.com

22. 22DN
    Distribucache – Node.js datastore-independent repopulating cache▲7

    2015 · github.com

23. 23RA
    Rapscallion, a faster async React SSR▲8

    2017 · github.com

24. 24CH
    Coseq – high order functions for JavaScript async/sync iterators▲9

    2017 · github.com

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