GraphQL Editor

GraphQL Editor is a tool designed to streamline the management of GraphQL schemas. According to the vendor, this versatile tool caters to a wide range of professionals and industries, including software developers, API developers, backend developers, product managers, and technology companies.

Key Features

Visual Graph: According to the vendor, the visual graph feature allows users to explore and onboard large schemas quickly and efficiently. It provides a visual representation of the schema, making it easier to understand and navigate. The visual schema creator also facilitates easy building and modification of schemas.

API Console: The API console feature offers a tree-based GraphQL query builder that enables users to build queries with a few simple clicks. According to the vendor, user-friendly forms allow for data input in a navigable manner, facilitating interaction with the API and testing queries without writing code.

Schema Libraries: According to the vendor, the schema libraries feature allows users to import one schema into another, providing reusability and modularity by combining multiple schemas. Imported nodes are visible in the Graph view but not directly in the code editor.

Mock Backend: The mock backend feature provides a self-deployed cloud backend for querying GraphQL schemas. According to the vendor, users can get type-safe responses immediately after starting a project. The mock backend utilizes the Levenshtein algorithm and fakerjs library to generate realistic responses.

Generate AI Docs from GraphQL Types (In Progress): According to the vendor, this upcoming feature will generate beautiful documentation for each GraphQL node with a single click, eliminating the need for manual documentation writing and saving time and effort.

Redesign of API Console (In Progress): The vendor is working on transforming the current API Console into a fast and user-friendly tool. According to the vendor, this redesign aims to enhance the user experience and improve usability for efficient interaction with the API.

AI Mock Backend (In Progress): According to the vendor, this upcoming feature will introduce an AI-based mock backend for generating mocks. It aims to enhance the realism and accuracy of mock responses by utilizing artificial intelligence.

AI Schema Generation (Completed): According to the vendor, this feature generates an initial schema using GPT prompt for example schema for room reservations. It saves time and effort in creating the initial schema and helps users kickstart their projects.

AI Query Writer (Completed): The AI query writer feature generates GraphQL queries using GPT prompt for example queries. According to the vendor, it provides suggestions and auto-completion to improve the efficiency and accuracy of query writing.

Big Schema Mode (Completed): According to the vendor, the big schema mode feature enables the exploration of large schemas by shrinking them in relation mode. It uses the ELK Graphing algorithm for faster performance and easier navigation of complex schemas.