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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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graphql-yoga
🧘 Rewrite of a fully-featured GraphQL Server with focus on easy setup, performance & great developer experience. The core of Yoga implements WHATWG Fetch API and can run/deploy on any JS environment.
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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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All the code examples can be found in this repository.
:::note GraphQL Union is available for Types only, not for Inputs. However, the oneOf directive will bridge the gap in the future.
:::note When using remote APIs, we often have the possibility to generate the types automatically from a JSON schema for REST APIs, from protobuf files for gRPC-based APIs, from a database schema, etc. You might even be using an external API through an SDK that already provides you with all types. In such cases, the creation of specialized Error classes is not mandatory. However, it might still be a good idea to do so to provide application-specific errors rather than bubbling up 3rd-party low-level errors. For such cases, the upcoming Ecma TC39 proposal for Error Cause is useful as it allows to chain errors. Polyfills exist: Pony Cause or error-cause. :::
:::note When using remote APIs, we often have the possibility to generate the types automatically from a JSON schema for REST APIs, from protobuf files for gRPC-based APIs, from a database schema, etc. You might even be using an external API through an SDK that already provides you with all types. In such cases, the creation of specialized Error classes is not mandatory. However, it might still be a good idea to do so to provide application-specific errors rather than bubbling up 3rd-party low-level errors. For such cases, the upcoming Ecma TC39 proposal for Error Cause is useful as it allows to chain errors. Polyfills exist: Pony Cause or error-cause. :::
:::note When using remote APIs, we often have the possibility to generate the types automatically from a JSON schema for REST APIs, from protobuf files for gRPC-based APIs, from a database schema, etc. You might even be using an external API through an SDK that already provides you with all types. In such cases, the creation of specialized Error classes is not mandatory. However, it might still be a good idea to do so to provide application-specific errors rather than bubbling up 3rd-party low-level errors. For such cases, the upcoming Ecma TC39 proposal for Error Cause is useful as it allows to chain errors. Polyfills exist: Pony Cause or error-cause. :::
If you use Envelop or GraphQL Yoga (both developed by The Guild), you can already benefit from it today by using this Envelop plugin) :::
:::note When using remote APIs, we often have the possibility to generate the types automatically from a JSON schema for REST APIs, from protobuf files for gRPC-based APIs, from a database schema, etc. You might even be using an external API through an SDK that already provides you with all types. In such cases, the creation of specialized Error classes is not mandatory. However, it might still be a good idea to do so to provide application-specific errors rather than bubbling up 3rd-party low-level errors. For such cases, the upcoming Ecma TC39 proposal for Error Cause is useful as it allows to chain errors. Polyfills exist: Pony Cause or error-cause. :::
In order to make our throwing and unsafe APIs into safe data fetching functions, we'll use data types and techniques from the Functional Programming paradigm. In particular, we'll use the fp-ts library (but you can choose the FP library of your choice, e.g. purify, effect, monio, and others).
GraphQL Code Generator is a tool developed by The Guild which generates type definitions which corresponds to the GraphQL schema. It has several plugins and we'll use 3 of those:
In order to make our throwing and unsafe APIs into safe data fetching functions, we'll use data types and techniques from the Functional Programming paradigm. In particular, we'll use the fp-ts library (but you can choose the FP library of your choice, e.g. purify, effect, monio, and others).
In order to make our throwing and unsafe APIs into safe data fetching functions, we'll use data types and techniques from the Functional Programming paradigm. In particular, we'll use the fp-ts library (but you can choose the FP library of your choice, e.g. purify, effect, monio, and others).