Prompt

Is there a JavaScript library for creating complex questionnaires?

Technology / Developer Tools4 observationsLast seen Aug 27, 2026

Latest observation

Aug 27, 2026OpenAI APIWeb search: off

Yes — there are several good JavaScript libraries for building complex questionnaires, depending on how much logic, validation, and UI control you need.

Popular options

  • SurveyJS

    • Very popular for advanced surveys/questionnaires
    • Supports conditional logic, branching, validation, page breaks, calculated values, and custom question types
    • Works well with React, Angular, Vue, and plain JS
    • Good if you want a full-featured questionnaire engine
  • Form.io

    • More of a form builder/platform than just a library
    • Strong for complex forms with conditional logic, data submission, workflows, and integrations
    • Useful if you need both front-end and back-end form handling
  • React Hook Form + custom logic

    • Not a questionnaire library by itself, but good if you want to build a questionnaire in React with full control
    • You’d implement branching/logic yourself or with a schema layer
  • Formik

    • Similar to React Hook Form, mostly for form state management
    • Better for general forms than highly dynamic questionnaires
  • JSON Schema form libraries

    • Example: react-jsonschema-form / @rjsf/core
    • Good if your questionnaire can be described in JSON Schema
    • Can handle dynamic rendering, validation, and custom widgets
  • WET-BOEW survey/form tools

    • More niche, but useful in specific government/accessibility contexts

Best fit for “complex questionnaires”

If you want something ready-made and powerful, SurveyJS is often the first one to look at.

What to look for

For complex questionnaires, check whether the library supports:

  • branching / skip logic
  • conditional visibility
  • scoring or calculated fields
  • multi-page flows
  • validation rules
  • custom question types
  • saving/restoring progress
  • export/import of questionnaire definitions

If you want, I can also recommend the best library based on your stack (React/Vue/plain JS) and the exact kind of questionnaire you’re building.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (4 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.