Showing 494 open source projects for "void-linux"

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  • 1
    SleekDB

    SleekDB

    Pure PHP NoSQL database with no dependency

    SleekDB is a simple flat file NoSQL-like database implemented in PHP without any third-party dependencies that store data in plain JSON files. It is not designed to handle heavy-load IO operations, it is designed to have a simple solution where all we need a database for managing a few gigabytes of data. You can think of it as a database for low to medium operation loads.
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  • 2
    StringZilla

    StringZilla

    10x faster string search, split, sort, and shuffle for long strings

    StringZilla is the Godzilla of string libraries, splitting, sorting, and shuffling large textual datasets. StringZilla uses a heuristic so simple it's almost stupid... but it works. It matches the first few letters of words with hyper-scalar code to achieve memcpy speeds. The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the...
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  • 3
    Mobility

    Mobility

    Pluggable Ruby translation framework

    Mobility is a gem for storing and retrieving translations as attributes on a class. These translations could be the content of blog posts, captions on images, tags on bookmarks, or anything else you might want to store in different languages. Storage of translations is handled by customizable "backends" which encapsulate different storage strategies. The default way to store translations is to put them all in a set of two shared tables, but many alternatives are also supported, including...
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  • 4
    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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  • 5
    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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  • 6
    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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  • 7
    Manfred Awesomic CV

    Manfred Awesomic CV

    Manfred Awesomic CV

    The MAC (or Manfred Awesomic CV) is a(nother) naive attempt to create a standard open-source format to define and share CVs. The format is defined as a JSON Schema to validate CVs stored as JSON files. There are A LOT of CV formats, and some of them are a nice try to define a universal CV format, but we think that a CV should include not only what candidates are or know but also what they are interested in and what they want to become. Like most open-source projects, the first use case was...
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  • 8
    Airframe

    Airframe

    Essential Building Blocks for Scala

    Airframe is an essential building block for developing applications in Scala, including logging, object serialization using JSON or MessagePack, dependency injection, HTTP server/client with RPC support, functional testing with AirSpec, etc. Airframe RPC supports seamless integration of servers and clients using Scala as RPC interfaces. AirSpec is a simple unit testing framework for Scala and Scala.js. You can use public methods in your classes as test cases. There is no need to remember...
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  • 9
    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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  • 10
    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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  • 11
    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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  • 12
    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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  • 13
    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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  • 14
    express-openapi-validator

    express-openapi-validator

    Auto-validates api requests, responses, and securities using ExpressJS

    Auto-validates api requests, responses, and securities using ExpressJS and an OpenAPI 3.x specification. Express-openapi-validator is an unopinionated library that integrates with new and existing API applications. express-openapi-validator lets you write code the way you want; it does not impose any coding convention or project layout. Simply, install the validator onto your express app, point it to your OpenAPI 3 specification, then define and implement routes the way you prefer. An...
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  • 15
    Formly

    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...
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  • 16
    Go support for Protocol Buffers

    Go support for Protocol Buffers

    The Go support for Google's protocol buffers

    Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data, think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol buffers currently support generated code in Java, Python, Objective-C, and C++. With our new proto3...
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  • 17
    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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  • 18
    decimal

    decimal

    Arbitrary-precision fixed-point decimal numbers in go

    Arbitrary-precision fixed-point decimal numbers in go. Note: Decimal library can "only" represent numbers with a maximum of 2^31 digits after the decimal point. The zero-value is 0, and is safe to use without initialization. Addition, subtraction, and multiplication with no loss of precision. Division with specified precision. Database/sql serialization/deserialization. JSON and XML serialization/deserialization. big.Int's API is built to reduce the number of memory allocations for maximal...
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  • 19
    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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  • 20
    vcr

    vcr

    Record your test suite's HTTP interactions and replay them

    Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests. We're looking for more maintainers. If you'd like to help maintain a well-used gem please spend some time reviewing pull requests, issues, or participating in discussions. VCR will replay the response from iana.org when the HTTP request is made. This test is now fast (no real HTTP requests are made anymore), deterministic (the test will continue to pass, even if you are...
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  • 21
    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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  • 22
    lowdb

    lowdb

    Small local JSON database powered by Lodash

    Small JSON database for Node, Electron and the browser. Powered by Lodash. You can use any of the powerful lodash functions, like _.get and _.find with shorthand syntax. Lowdb is perfect for CLIs, small servers, Electron apps and npm packages in general. It supports Node, the browser and uses lodash API, so it's very simple to learn. Actually, if you know Lodash, you already know how to use lowdb. lowdb doesn't support Cluster and may have issues with very large JSON files (~200MB). A UMD...
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  • 23
    jsondiffpatch

    jsondiffpatch

    Diff & patch JavaScript objects

    Diff & patch JavaScript objects.
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  • 24
    gSOAP Toolkit

    gSOAP Toolkit

    Development toolkit for Web Services and XML data bindings for C & C++

    The gSOAP toolkit is an extensive suite of portable C and C++ software to develop XML Web services with powerful type-safe XML data bindings. Easy-to-use code-generator tools allow you to directly integrate XML data in C and C++. Serializes native application data in XML. Includes WSDL/XSD schema binding and auto-coding tools, stub/skeleton compiler, Web server integration with Apache module and IIS extension, high-performance XML processing with schema validation, fast MIME/MTOM streaming,...
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    Downloads: 641 This Week
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  • 25
    Jingo

    Jingo

    This package provides the ability to encode golang structs

    This package provides the ability to encode Golang structs to a buffer as JSON. Buffer is a simple custom buffer type that complies with io.Writer. Its main benefit is that it has a pooling built-in. This goes a long way to helping make jingo fast by reducing its allocations and ensuring good write speeds. When you create an instance of an encoder it recursively generates an instruction set that defines how to iteratively encode your structs. This gives it the ability to provide a clear API...
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