Search Results for "type it"
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Showing 68 open source projects for "type it"
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Ajv JSON schema validator
The fastest JSON schema Validator
...Instead of having your data validation and sanitization logic written as lengthy code, you can declare the requirements to your data with concise, easy to read and cross-platform JSON Schema or JSON Type Definition specifications and validate the data as soon as it arrives to your application. TypeScript users can use validation functions as type guards, having type level guarantee that if your data is validated, it is correct. Ajv was designed at the time when there were no validators fully complying with JSON Schema specification, aiming to achieve the best possibly validation performance via just-in-time compilation of JSON schemas to code. ... -
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Doctrine JSON ODM
An object document mapper for Doctrine ORM using JSON
...Doctrine JSON ODM allows to store PHP objects as JSON documents in modern, dynamic columns of an RDBMS. It works with JSON and JSONB columns of PostgreSQL (>= 9.4) and the JSON column type of MySQL. -
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RedisJSON
RedisJSON - a JSON data type for Redis
RedisJSON is a Redis module that implements ECMA-404 The JSON Data Interchange Standard as a native data type. It allows storing, updating and fetching JSON values from Redis keys (documents). -
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JSON Schema to TS
Infer TS types from JSON schemas
A lot of projects use JSON schemas for runtime data validation along with TypeScript for static type checking. -
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SQLModel
SQL databases in Python, designed for simplicity, compatibility
...SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
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msgspec
A fast serialization and validation library, with builtin
msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. -
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jsonschema2pojo
Generate Java types from JSON or JSON Schema for data-binding
...A private field is added to the parent class, along with accompanying accessor methods (getter and setter). If additionalProperties is specified and set to the boolean value false, then the generated Java type does not support additional properties. If the additionalProperties node is undefined (not present), null or empty, then a new bean property named "additionalProperties", of type Map<String,Object> is added to the generated type (with appropriate accessors). The accessors are annotated to allow Jackson to marshal/unmarshal unrecognised (additional) properties found in JSON data from/to this map. -
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Chronicle Wire
Low Garbage Java Serialisation Library that supports multiple formats
Chronicle Wire is a Wire Format abstraction library. Chronicle Wire uses Chronicle Bytes for bytes manipulation, and Chronicle Core for low-level JVM access. Configuration includes aliased type information. This supports easy extension by adding new classes/versions, and cross-platform using type aliasing. By supporting types, a configuration file can bootstrap itself. You control how the configuration file is decoded. See example Queue Enterprise config. To send the configuration of a server to a client, or from a client to a server. ... -
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Typia
Super-fast/easy runtime validations and serializations
Super-fast/easy runtime validations and serializations through transformation. -
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jq
Lightweight and flexible command-line JSON processor
jq is like sed for JSON data - you can use it to slice, filter, map and transform structured data with the same ease that sed, awk, grep and friends let you play with text. jq is written in portable C, and it has zero runtime dependencies. You can download a single binary, scp it to a far away machine of the same type, and expect it to work. jq can mangle the data format that you have into the one that you want with very little effort, and the program to do so is often shorter and simpler than you'd expect. Data in jq is represented as streams of JSON values - every jq expression runs for each value in its input stream, and can produce any number of values to its output stream. jq filters run on a stream of JSON data. ... -
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Formly
JSON powered dynamic forms for Angular
Formly is a dynamic (JSON-powered) form library for Angular that brings unmatched maintainability to your application's forms. Easy to extend with custom field type, validation, wrapper and extension. Every developer that’s using Angular to build cool web applications knows forms are among the most common things to build. We are building by hand with all the tools Angular gives us. NGX Formly was built as an open-source project, which you can find on GitHub. The tool lets you create forms based on a JSON structure. ... -
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JSON for Modern C++
JSON that's part of C++
...While there may be dozens of JSON libraries out there, JSON for C++ stands out with a focus on three things: an intuitive syntax, trivial integration and serious testing. Using the operator magic of modern C++, this library makes JSON feel like a first class data type. With trivial integration, the entire code is made up of a single header file json.hpp, no dependencies, no complex build system required. It's been heavily unit-tested covering 100% of the code, and follows the Core Infrastructure Initiative (CII) best practices to ensure the highest quality at all times. Among its many features are JSON pointers, JSON patches, Iterators, SAX parsing and various container operations. -
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ojg
Optimized JSON for Go
Optimized JSON for Go is a high-performance parser with a variety of additional JSON tools. OjG is optimized to processing huge data sets where data does not necessarily conform to a fixed structure. -
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superjson
Safely serialize JavaScript expressions to a superset of JSON
Safely serialize JavaScript expressions to a superset of JSON, which includes Dates, BigInts, and more. At Blitz, we have struggled with the limitations of JSON. We often find ourselves working with Date, Map, Set or BigInt, but JSON.stringify doesn't support any of them without going through the hassle of converting manually. Superjson solves these issues by providing a thin wrapper over JSON.stringify and JSON.parse. For cases where you want lower level access to the json and meta data in... -
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Nette Utility Classes
Lightweight utilities for string & array manipulation, image handling
In package nette/utils you will find a set of useful classes for everyday use. Lightweight utilities for string & array manipulation, image handling, safe JSON encoding/decoding, validation, slug or strong password generating etc. -
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go-json
Fast JSON encoder/decoder compatible with encoding/json for Go
Fast JSON encoder/decoder compatible with encoding/json for Go. -
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JSONView
A web extension that helps you view JSON documents in the browser
A web extension that helps you view JSON documents in the browser. Normally when encountering a JSON document (content type application/json), Firefox simply prompts you to download the view. With the JSONView extension, JSON documents are shown in the browser similar to how XML documents are shown. The document is formatted, highlighted, and arrays and objects can be collapsed. Even if the JSON document contains errors, JSONView will still show the raw text. -
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serde_with
This crate provides custom de/serialization helpers
This crate provides custom de/serialization helpers to use in combination with serde's with-annotation and with the improved serde_as-annotation. -
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Remarshal
Convert between CBOR, JSON, MessagePack, TOML, and YAML
Convert between CBOR, JSON, MessagePack, TOML, and YAML. When installed, provides the command-line command remarshal as well as the short commands {cbor,json,msgpack,toml,yaml}2{cbor,json,msgpack,toml,yaml}. You can perform format conversion, reformatting, and error detection using these commands. CBOR, MessagePack, and YAML with binary fields cannot be converted to JSON or TOML. Binary fields are converted between CBOR, MessagePack, and YAML. -
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Jawn
Jawn is for parsing jay-sawn (JSON)
The term "jawn" comes from the Philadelphia area. It conveys about as much information as "thing" does. I chose the name because I had moved to Montreal so I remembered Philly fondly. Also, there isn't a better way to describe objects encoded in JSON than "things". Finally, we get a catchy slogan. Jawn was designed to parse JSON into an AST as quickly as possible. Currently, Jawn is competitive with the fastest Java JSON libraries (GSON and Jackson) and in the author's benchmarks, it often... -
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Airframe
Essential Building Blocks for Scala
...Retrying HTTP requests for API calls is an essential technique for connecting microservices. airframe-control will provide essential tools for making your requests reliable with exponential backoff retry, jitter, circuit-breaker, rate control, etc. airframe-fluentd supports logging your metrics to fluentd in a type-safe manner. You just need to send your case classes as metrics for fluentd. -
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encoding
Go package containing implementations of efficient encoding
...At Segment, we do a lot of marshaling and unmarshaling of data when sending, queuing, or storing messages. The resources we need to provision on the infrastructure are directly related to the type and amount of data that we are processing. At the scale we operate at, the tools we choose to build programs can have a large impact on the efficiency of our systems. It is important to explore alternative approaches when we reach the limits of the code we use. This package has no dependencies outside of the core runtime of Go. It requires a recent version of Go. -
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orjson
Fast, correct Python JSON library supporting dataclasses, datetimes
...It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson does not support PyPy. Releases follow semantic versioning and serializing a new object type without an opt-in flag is considered a breaking change. -
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easyjson
Fast JSON serializer for golang
Package easyjson provides a fast and easy way to marshal/unmarshal Go structs to/from JSON without the use of reflection. In performance tests, easyjson outperforms the standard encoding/json package by a factor of 4-5x, and other JSON encoding packages by a factor of 2-3x. easyjson aims to keep generated Go code simple enough so that it can be easily optimized or fixed. Another goal is to provide users with the ability to customize the generated code by providing options not available with... -
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Rapid YAML
Library to parse and emit YAML, and do it fast
...Serialization happens only at your direct request, after parsing / before emitting. Internally, the data tree representation stores only string views and has no knowledge of types, but of course, every node can have a YAML type tag. ryml makes it easy and fast to read and modify the data tree.