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Hoppscotch vs Scalar

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

Hoppscotch

Open source · MIT

Open-source app for building, sending, and testing API requests in the browser, desktop, or CLI.

Scalar

Open source · MIT

Turns OpenAPI/Swagger documents into interactive API docs and includes an API testing client.

The short answer

Choose Hoppscotch if you need…

  • Developers who want to test REST, GraphQL, WebSocket, or other APIs without a heavy desktop client
  • Teams that want to share collections and environments across members
  • People who prefer an open-source tool they can self-host or run offline
  • Developers who want to run API tests from the command line via the Hoppscotch CLI

Choose Scalar if you need…

  • Developers who already maintain an OpenAPI or Swagger document
  • Teams that want readable, interactive API documentation
  • Developers who want to test endpoints from the same tool they use for docs
  • Backend developers using a supported framework such as FastAPI, Hono, or Express

Side-by-side

HoppscotchScalar
TypeAppApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars80.7k16.4k
Setup difficultyBeginnerBeginner
How you get itUse it in the browser (or self-host)Use it in the browser (or self-host)
Main languageTypeScriptTypeScript
Last code update6 days ago5 days ago

What each one is

Hoppscotch

Hoppscotch is an open-source tool for making and testing requests to web APIs. You enter a URL, choose a method such as GET or POST, send the request, and inspect the response. It is offered as a web app, a installable desktop or PWA app, and a command-line interface, and the README positions it as an open-source alternative to Postman and Insomnia.

Scalar

Scalar is an open-source project that takes an OpenAPI (Swagger) description of a web API and turns it into a browsable, interactive reference page. It also includes an API client for sending test requests, and the README says it can generate code examples in many languages. Developers use it to document and try out their APIs without building that interface themselves.

Best for

Hoppscotch

  • Developers who want to test REST, GraphQL, WebSocket, or other APIs without a heavy desktop client
  • Teams that want to share collections and environments across members
  • People who prefer an open-source tool they can self-host or run offline
  • Developers who want to run API tests from the command line via the Hoppscotch CLI

Scalar

  • Developers who already maintain an OpenAPI or Swagger document
  • Teams that want readable, interactive API documentation
  • Developers who want to test endpoints from the same tool they use for docs
  • Backend developers using a supported framework such as FastAPI, Hono, or Express

Strengths

Hoppscotch

  • Open source under the MIT license with a large community (about 80,700 stars at the time of metadata)
  • Supports many protocols beyond basic HTTP, including GraphQL, WebSocket, and MQTT
  • Available as a web app, PWA, and CLI, with offline support noted in the README

Scalar

  • Free and open-source under the MIT license
  • Renders OpenAPI/Swagger documents with an interactive reference view
  • Offers a single-HTML-file setup that needs no build step

Not ideal for

Hoppscotch

  • Users who need features the README does not describe; the README is truncated and feature depth is not fully covered
  • People who want a fully managed, closed hosted service with no interest in self-hosting or sync setup
  • Non-developers with no need to call APIs

Scalar

  • People without an OpenAPI document, since the README centers on rendering existing OpenAPI specs rather than writing them
  • Users who need an API client only for non-OpenAPI workflows, as the README emphasizes OpenAPI support
  • Anyone needing a fully self-hosted setup without reviewing the README, since the quickstart example loads assets and a proxy from scalar.com and jsDelivr CDN

Trade-offs

Hoppscotch

  • Some features, such as cloud sync and teams, depend on signing in and may involve a hosted service
  • The README is truncated and does not fully document installation for every platform
  • The latest release listed has no downloadable binaries, so setup may require building from source or using the web app

Scalar

  • The README is truncated, so full feature and configuration details are not confirmed here
  • The quickstart depends on external CDN and proxy URLs rather than local files alone
  • The latest release has no binaries, so the desktop download path is only described on the project's website

Getting started

Hoppscotch

Clone the repository

git clone https://github.com/hoppscotch/hoppscotch
Step-by-step guide: how to use Hoppscotch

Scalar

Install the coding agent skill (optional)

npx skills add scalar/scalar --skill scalar-api-reference

Clone the repository

git clone https://github.com/scalar/scalar
Step-by-step guide: how to use Scalar

Frequently asked questions

What is the difference between Hoppscotch and Scalar?

Hoppscotch: Open-source app for building, sending, and testing API requests in the browser, desktop, or CLI. Scalar: Turns OpenAPI/Swagger documents into interactive API docs and includes an API testing client. Hoppscotch suits developers who want to test rest, graphql, websocket, or other apis without a heavy desktop client, while Scalar suits developers who already maintain an openapi or swagger document.

Are Hoppscotch and Scalar free?

Hoppscotch: Free and open source. Scalar: Free and open source.

Is Hoppscotch or Scalar more popular?

Hoppscotch has more GitHub stars (80.7k) than Scalar (16.4k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to Hoppscotch and Scalar?

Other options people compare them with include Bruno, Yaak, Krayin CRM, Vue Admin Better, YesPlayMusic.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.