Showing 455 open source projects for "source-han"

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  • 1
    simdjson

    simdjson

    Parsing gigabytes of JSON per second

    JSON is everywhere on the Internet. Servers spend a *lot* of time parsing it. We need a fresh approach. The simdjson library uses commonly available SIMD instructions and microparallel algorithms to parse JSON 4x faster than RapidJSON and 25x faster than JSON for Modern C++. The simdjson library uses three-quarters less instructions than state-of-the-art parser RapidJSON. To our knowledge, simdjson is the first fully-validating JSON parser to run at gigabytes per second (GB/s) on commodity...
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  • 2
    json-render

    json-render

    Generate dashboards, widgets, apps, and data visualizations

    json-render is a lightweight, framework-agnostic utility designed to turn JSON data into usable HTML layouts automatically, offering a straightforward way to visualize structured data without writing bespoke template code. It takes deeply nested JSON objects and renders them into intuitive, readable UIs by mapping data types and keys to semantic HTML elements, which helps developers prototype dashboards, debugging tools, or data-driven interfaces quickly. The tool is built to be embeddable...
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  • 3
    BSON parser

    BSON parser

    BSON Parser for node and browser

    BSON parser is the core JavaScript implementation of BSON (Binary JSON), the data format used by MongoDB to represent documents on the wire and in storage. It provides encoding and decoding capabilities so JavaScript environments like Node.js and browsers can serialize rich data structures (including types not native to JSON) into the compact, efficient BSON binary representation used by MongoDB drivers and servers. Value types such as ObjectId, Binary, UTC datetime, Decimal128, and Long are...
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  • 4
    srsly

    srsly

    Modern high-performance serialization utilities for Python

    This package bundles some of the best Python serialization libraries into one standalone package, with a high-level API that makes it easy to write code that's correct across platforms and Pythons. This allows us to provide all the serialization utilities we need in a single binary wheel. Currently supports JSON, JSONL, MessagePack, Pickle, and YAML. Serialization is hard, especially across Python versions and multiple platforms. After dealing with many subtle bugs over the years (encodings,...
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  • 5
    Chronicle Wire

    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...
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  • 6
    Manfred Awesomic CV

    Manfred Awesomic CV

    Manfred Awesomic CV

    ...Like most open-source projects, the first use case was found in the company where the first contributors worked. Manfred is committed to the idea that every person should keep control over their personal and professional data. This means that they should be able to export their data from any platform in a machine-readable format with a Model Definition to process that data efficiently.
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  • 7
    jsoniter-scala

    jsoniter-scala

    Scala macros for compile-time generation of safe and ultra-fast JSON

    Scala macros for compile-time generation of safe and ultra-fast JSON codecs. This library had started from macros that reused jsoniter (json-iterator) for Java reader and writer but then the library evolved to have its own core of mechanics for parsing and serialization. The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide...
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  • 8
    REST API Response Builder for Laravel

    REST API Response Builder for Laravel

    Builds nice, normalized and easy to consume REST JSON responses

    ResponseBuilder is a Laravel package, designed to help you build nice, normalized, and easy-to-consume REST API JSON responses. ResponseBuilder is written for REST API developers by REST API developers and is based on long-lasting experience on both "sides" of API. It's lightweight, with no dependencies, extensively tested, and simple to use yet flexible and powerful, with support for on-the-fly data conversion, localization support, automatic message building, chained APIs, and (hopefully)...
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  • 9
    Sync

    Sync

    JSON to Core Data and back. Swift Core Data Sync.

    Sync eases your everyday job of parsing a JSON response and syncing it with Core Data. Sync is a lightweight Swift library that uses a convention-over-configuration paradigm to facilitate your workflow. Syncing JSON to Core Data is a repetitive tasks that often demands adding a lot of boilerplate code. Mapping attributes, mapping relationships, diffing for inserts, removals and updates are often tasks that don't change between apps. Taking this in account we took the challenge to abstract...
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  • 10
    SBJson 5

    SBJson 5

    This framework implements a strict JSON parser and generator

    Chunk-based JSON parsing and generation in Objective-C. SBJson's number one feature is stream/chunk-based operation. Feed the parser one or more chunks of UTF8-encoded data and it will call a block you provide with each root-level document or array. Or, optionally, for each top-level entry in each root-level array. With this you can reduce the apparent latency for each download/parse cycle of documents over a slow connection. You can start parsing and return chunks of the parsed document...
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  • 11
    JC

    JC

    CLI tool and python library

    CLI tool and python library that converts the output of popular command-line tools and file types to JSON or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts. jc JSONifies the output of many CLI tools and file types for easier parsing in scripts. This allows further command-line processing of output with tools like jq or jello by piping commands. The JC parsers can also be used as python modules. In this case, the output will be a python...
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  • 12
    jsonschema2pojo

    jsonschema2pojo

    Generate Java types from JSON or JSON Schema for data-binding

    Generate plain old Java objects from JSON or JSON-Schema. For each property present in the 'properties' definition, we add a property to a given Java class according to the JavaBeans spec. 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...
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  • 13
    Doctrine JSON ODM

    Doctrine JSON ODM

    An object document mapper for Doctrine ORM using JSON

    An Object-Document Mapper (ODM) for Doctrine ORM leveraging new JSON types of modern RDBMS. Did you ever dream of a tool creating powerful data models mixing traditional, efficient relational mappings with modern schema-less and NoSQL-like ones? With Doctrine JSON ODM, it's now possible to create and query such hybrid data models with ease. Thanks to modern JSON types of RDBMS, querying schema-less documents is easy, powerful and fast as hell (similar in performance to a MongoDB database)!...
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  • 14
    getty

    getty

    Asynchronous network I/O library

    Getty is an asynchronous network I/O library developed in Golang. It operates on TCP, UDP, and WebSocket network protocols, providing a consistent interface EventListener. Within Getty, each connection (session) involves two separate goroutines. One handles the reading of TCP streams, UDP packets, or WebSocket packages, while the other manages the logic processing and writes responses into the network write buffer. If your logic processing might take a considerable amount of time, it's...
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  • 15
    Inja

    Inja

    A Template Engine for Modern C++

    Inja is a template engine for modern C++, loosely inspired by jinja for python. It has an easy and yet powerful template syntax with all variables, loops, conditions, includes, callbacks, and comments you need, nested and combined as you like. Inja uses the wonderful json library by nlohmann for data input. Most importantly, inja needs only two header files, which is (nearly) as trivial as integration in C++ can get. Of course, everything is tested on all relevant compilers. Inja is a...
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  • 16
    Logstash Logback Encoder

    Logstash Logback Encoder

    Logback JSON encoder and appenders

    Provides log back encoders, layouts, and appenders to log in JSON and other formats supported by Jackson. Supports both regular LoggingEvents (logged through a Logger) and AccessEvents (logged via logback-access). Originally written to support output in Logstash's JSON format, but has evolved into a highly configurable, general-purpose, structured logging mechanism for JSON and other Jackson data forms. The structure of the output, and the data it contains, is fully configurable. The general...
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  • 17
    jwx

    jwx

    Implementation of various JWx (Javascript Object Signing

    Go module implementing various JWx (JWA/JWE/JWK/JWS/JWT, otherwise known as JOSE) technologies. If you are using this module in your product or your company, please add your product and/or company name in the Wiki! It really helps keeping up our motivation. Complete coverage of JWA/JWE/JWK/JWS/JWT, not just JWT+minimum tool set. Supports JWS messages with multiple signatures, both compact and JSON serialization. Supports JWS with detached payload. Supports JWS with unencoded payload...
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  • 18
    Ajv JSON schema validator

    Ajv JSON schema validator

    The fastest JSON schema Validator

    Security and reliability for JavaScript applications. Ensure your data is valid as soon as it's received. 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...
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  • 19
    Murex

    Murex

    A smarter shell and scripting environment with advanced features

    Murex is a shell, like bash / zsh / fish / etc however Murex supports improved features and an enhanced UX. Support for additional type information in pipelines, which can be used for complex data formats like JSON or tables. Meaning all of your existing UNIX tools to work more intelligently and without any additional configuration. Usability improvements such as in-line spell checking, context-sensitive hint text that details the behavior of a command before you hit return, and auto-parsing...
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  • 20
    HCL

    HCL

    HCL is the HashiCorp configuration language

    HCL is a toolkit for creating structured configuration languages that are both human- and machine-friendly, for use with command-line tools. Although intended to be generally useful, it is primarily targeted toward DevOps tools, servers, etc. HCL has both a native syntax, intended to be pleasant to read and write for humans, and a JSON-based variant that is easier for machines to generate and parse. It includes an expression syntax that allows basic inline computation and, with support from...
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  • 21
    DocArray

    DocArray

    The data structure for multimodal data

    DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. Data...
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  • 22
    Spring Data Redis

    Spring Data Redis

    Provides support to increase developer productivity in Java

    Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across...
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  • 23
    Connexion

    Connexion

    Swagger/OpenAPI First framework for Python on top of Flask

    Connexion is a framework on top of Flask that automagically handles HTTP requests defined using OpenAPI (formerly known as Swagger), supporting both v2.0 and v3.0 of the specification. Connexion allows you to write these specifications, then maps the endpoints to your Python functions. This is what makes it unique from other tools that generate the specification based on your Python code. You are free to describe your REST API with as much detail as you want and then Connexion guarantees...
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  • 24
    RestSharp

    RestSharp

    Simple REST and HTTP API Client for .NET

    RestSharp is probably the most popular HTTP client library for .NET. Featuring automatic serialization and deserialization, request and response type detection, variety of authentications and other useful features, it is being used by hundreds of thousands of projects. RestSharp passed over 32 million downloads on NuGet, with average daily download count of 10,000. It's being used by many popular OSS projects, including Roslyn and Swagger. The main purpose of RestSharp is to make synchronous...
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  • 25
    Jawn

    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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