Search Results for "schema"
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Showing 65 open source projects for "schema"
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Schema.DTS
JSON-LD TypeScript types for Schema vocabulary
The project provides a comprehensive set of TypeScript typings based on the Schema vocabulary, enabling developers to author JSON-LD structured data with strong type safety. It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and knowledge-graph practices. ... -
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Caliban
Functional GraphQL library for Scala
Caliban is a purely functional library for building GraphQL servers and clients in Scala. The design principles behind the library are the following. Minimal amount of boilerplate: no need to manually define a schema for every type in your API. Pure interface: errors and effects are returned explicitly (no exceptions thrown), all returned types are referentially transparent (no Future). Clean separation between schema definition and implementation: schema is defined and validated at compile time using Scala standard types, resolver (RootResolver) is a simple value provided at runtime. ... -
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GraphQL Java Tools
A schema-first tool for graphql-java inspired by graphql-tools for JS
This library allows you to use the GraphQL schema language to build your graphql-java schema. Inspired by graphql-tools, it parses the given GraphQL schema and allows you to BYOO (bring your own object) to fill in the implementations. GraphQL Java Tools works extremely well if you already have domain POJOs that hold your data (e.g. for RPC, ORM, REST, etc) by allowing you to map these magically to GraphQL objects. -
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GraphQL Kotlin
Libraries for running GraphQL in Kotlin
...All you need to do is write your schema code in a Kotlin class. -
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gqlgen
Go generate based graphql server library
gqlgen is a Go library for building GraphQL servers without any fuss. You get to Define your API using the GraphQL Schema Definition Language. You should never see map[string]interface{} here. We generate the boring bits, so you can focus on building your app quickly. Still not convinced enough to use gqlgen? Compare gqlgen with other Go graphql implementations. You need to tell gqlgen that it should only fetch friends if the user requested it. gqlgen will be able to automatically bind to strings or ints for models you have written yourself. gqlgen is a schema-first library, before writing code, you describe your API using the GraphQL Schema Definition Language. ... -
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Valibot
Modular and type safe schema library for validating structural data
Valibot is a modular and type-safe schema library for validating structural data. It provides developers with tools to define and enforce data schemas, ensuring data integrity and consistency across applications. -
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Rime ICE
rime-ice is a highly optimized schema for the RIME input method
rime-ice is a highly optimized schema for the RIME (中州韻) input method engine, offering a clean, intelligent, and efficient Chinese input experience. Built with modular configuration files and designed for performance, rime-ice provides powerful input suggestions, simplified vocabulary, and flexible customization, catering to users who want a streamlined and practical Chinese typing setup. -
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Sangria
Scala GraphQL implementation
...Sangria is a spec-compliant GraphQL implementation, so it works out of the box with Apollo, Relay, GraphiQL and other GraphQL tools and libraries. Since GraphQL has a type system, the server defines a schema that the client can query using the introspection API. This provides the client with a set of possibilities. After the client got this information and decided which parts of the data it needs, it is able to describe its data requirements in form of a GraphQL query. An important aspect of GraphQL is that it’s completely backend agnostic. -
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Barfi
A Python visual Flow Based Programming library
A Python visual Flow-Based Programming library that integrates into your existing workflow. Barfi is a Flow-Based Programming environment that provides a graphical programming interface. It is integratable into your existing Python workflows. A schema is built using barfi.Blocks. Then the schema is executed with barfi.ComputeEngine. Each barfi.Block has some properties that enable the FBP and schema building. Firstly, each Block has Input and Output interfaces that link to other Blocks. Each Block can carry an executable function, that is specified by the user. This function can access/get data from the Input interface, perform computations or calculations, and set the Output interface. ... -
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Strawberry GraphQL
A GraphQL library for Python that leverages type annotations
...Django and ASGI support allow having your API deployed in production in a matter of minutes. The quick start method provides a server and CLI to get going quickly. Strawberry comes with a mypy plugin that enables statically type-checking your GraphQL schema. A Django view is provided for adding a GraphQL endpoint to your application. To support graphql Subscriptions over WebSockets you need to provide a WebSocket enabled server. Create a GraphQL schema defining a User type and a single query field user that will return a hardcoded user. -
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Cap'n Proto
Serialization/RPC system - core tools and C++ library
Cap’n Proto is a high-performance serialization and RPC system with core tools and a C++ library. It is designed as a binary data interchange format that can replace JSON, Protocol Buffers, or similar schema-based formats in performance-sensitive systems. The project uses schemas to define structured data and interfaces, then generates code for working with those messages efficiently. Its RPC model is capability-based, which makes it suitable for distributed systems that need object-style communication across processes or machines. The repository contains the main compiler, C++ runtime, KJ library components, tests, style guidance, release tooling, and development branches. ... -
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AtomicServer
An open source headless CMS / real-time database
Create, share, fetch, and model Atomic Data! AtomicServer is a lightweight, yet powerful CMS / Graph Database. Atomic Data is a modular specification for sharing, modifying, and modeling graph data. It combines the ease of use of JSON, the connectivity of RDF (linked data), and the reliability of type-safety. Atomic Data uses links to connect pieces of data, and therefore makes it easier to connect datasets to each other - even when these datasets exist on separate machines. -
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LangExtract
A Python library for extracting structured information
LangExtract is a Python library developed by Google that leverages large language models (LLMs) to extract structured information from unstructured text—such as clinical notes, research papers, or literary works—based on user-defined instructions. It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection and validation via automatically generated interactive HTML visualizations. LangExtract supports a wide range of models, including Google Gemini, OpenAI GPT, and local LLMs via Ollama, making it adaptable to different deployment environments and compliance needs. ... -
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lxml
The lxml XML toolkit for Python
A Python library for efficient XML and HTML processing, known for speed and compatibility. The lxml XML toolkit is a Pythonic binding for the C libraries libxml2 and libxslt. It is unique in that it combines the speed and XML feature completeness of these libraries with the simplicity of a native Python API, mostly compatible but superior to the well-known ElementTree API. The latest release works with all CPython versions from 3.6 to 3.12. See the introduction for more information about the... -
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GraphQL Juniper
GraphQL server library for Rust
...The best place to get started is the Juniper Book, which contains guides with plenty of examples, covering all features of Juniper. Juniper supports the full GraphQL query language according to the specification (October 2021), including interfaces, unions, schema introspection, and validations. It can also output the schema in the GraphQL Schema Language. -
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Relay Library for GraphQL.js
A library to help construct a graphql-js server supporting react-relay
...That overview describes a simple set of examples that exist as tests in this repository. A good way to get started with this repository is to walk through that documentation and the corresponding tests in this library together. When building a schema for GraphQL.js, the provided library functions can be used to simplify the creation of Relay patterns. -
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Typegoose
Define Mongoose models using TypeScript classes
A library that enables developers to use TypeScript classes as MongoDB models, bridging TypeScript with Mongoose for type-safe MongoDB operations. -
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Centrifuge
Real-time messaging library for Go with scalability in mind
...Chats apps, live comments, multiplayer games, real-time data visualizations, collaborative tools, etc. can all be built on top of Centrifuge library. The library is built on top of efficient client-server protocol schema and exposes various real-time oriented primitives for a developer. -
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OpenAI .NET
The official .NET library for the OpenAI API
...Every synchronous method has an async counterpart, and the library offers convenient streaming primitives for chat completions so you can process tokens as they arrive. It supports tool/function calling, structured outputs via JSON schema, audio input/output, image generation, embeddings, Whisper transcription, and assistants with retrieval augmented generation. -
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Flama
Fire up your models with the flame
Flama is a python library which establishes a standard framework for development and deployment of APIs with special focus on machine learning (ML). The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs. Besides, it comprises an ideal solution... -
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TikTok Live Connector
Node.js library to receive live stream events
...It is a reverse-engineering project rather than an official TikTok production API, so developers should expect platform changes and occasional breakage. Recent development has focused on a more modular TypeScript architecture and expanded event schema support. It is best used for experiments, prototypes, creator tools, and non-critical realtime TikTok LIVE integrations. -
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pdfme
A TypeScript based PDF generator library, made with React
TypeScript base PDF generator and React-based UI. Open source, developed by the community, and completely free to use under the MIT license. No complex operations are required. Just bring your favorite template and generate all the PDFs you need. Works on node and the browser. Anyone can easily create and modify templates using Designer (UI template editor). Templates have a JSON document representation, which makes theme easy to understand and easy to work with. -
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sqlite-utils
Python CLI utility and library for manipulating SQLite databases
sqlite-utils is both a Python library and a command-line tool for creating, inspecting, and transforming SQLite databases with minimal boilerplate. It focuses on making common tasks like importing CSV/JSON, exploring tables, and running ad-hoc queries feel ergonomic and scriptable. As a CLI, it lets you build databases from structured data in one line, run queries against local files or in-memory databases, output results as JSON, CSV, or pretty tables, and configure full-text search. As a... -
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Tortoise ORM
Familiar asyncio ORM for python, built with relations in mind
Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) for Python, inspired by Django's ORM. It is designed to work with asynchronous frameworks, providing a simple and familiar API for interacting with databases. Tortoise ORM supports various relational databases and is suitable for building high-performance web applications. -
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Graphene
GraphQL in Python Made Easy
Graphene is a Python library for building GraphQL APIs fast and easily, using a code-first approach. Instead of writing GraphQL Schema Definition Langauge (SDL), Python code is written to describe the data provided by your server. Graphene helps you use GraphQL effortlessly in Python, but what is GraphQL? GraphQL is a data query language developed internally by Facebook as an alternative to REST and ad-hoc webservice architectures. With Graphene you have all the tools you need to implement a GraphQL API in Python, with multiple integrations with different frameworks including Django, SQLAlchemy and Google App Engine.
