Open Source Go JSON Software
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Go JSON Software
View related business solutionsBrowse free open source Go JSON Software and projects below. Use the toggles on the left to filter open source Go JSON Software by OS, license, language, programming language, and project status.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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webrpc
webrpc is a schema-driven approach to writing backend services
webrpc is a schema-driven approach to writing backend servers for the Web. Write your server's API interface in a schema format of RIDL or JSON, and then run webrpc-gen to generate the networking source code for your server and client apps. From the schema, webrpc-gen will generate application-based class types/interfaces, JSON encoders, and networking code. In doing so, it's able to generate fully functioning and typed client libraries to communicate with your server. Enjoy strongly-typed Web services and never have to write an API client library again. -
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Open Policy Agent
An open source, general-purpose policy engine
Policy-based control for cloud-native environments. Flexible, fine-grained control for administrators across the stack. Stop using a different policy language, policy model, and policy API for every product and service you use. Use OPA for a unified toolset and framework for policy across the cloud-native stack. Whether for one service or for all your services, use OPA to decouple policy from the service's code so you can release, analyze, and review policies (which security and compliance teams love) without sacrificing availability or performance. -
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Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the familiar Unix tools operate on integer-indexed fields: if the natural data structure for the latter is the array, then Miller's natural data structure is the insertion-ordered hash map. Miller handles a variety of data formats, including but not limited to the familiar CSV, TSV, and JSON/JSON Lines. (Miller can handle positionally-indexed data too!) -
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Restish
Restish is a CLI for interacting with REST-ish HTTP APIs
Restish is a CLI for interacting with REST-ish HTTP APIs with some nice features built-in, like always having the latest API resources, fields, and operations available when they go live on the API without needing to install or update anything. Check out how Restish compares to cURL & HTTPie. -
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ChirpStack Gateway Bridge
ChirpStack Gateway Bridge abstracts Packet Forwarder protocols
ChirpStack Gateway Bridge is a service that converts LoRa® Packet Forwarder protocols into a ChirpStack common data format (JSON and Protobuf). This component is part of the ChirpStack open-source LoRaWAN® Network Server project. -
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CloverDB
A lightweight document-oriented NoSQL database written in pure Golang
CloverDB is a lightweight NoSQL database designed to be simple and easily maintainable, thanks to its small code base. It has been inspired by tinyDB. CloverDB has been written for being easily maintainable. As such, it trades performance with simplicity and is not intended to be an alternative to more performant databases such as MongoDB or MySQL. However, there are projects where running a separate database server may result overkilled, and, for simple queries, network delay may be the major performance bottleneck. For such scenarios, CloverDB may be a more suitable alternative. Previously, CloverDB relied on the Badger key-value store as a storage layer. However, Badger is not suitable for every scenario (for example, when the database size is a constraint). This is why, the storage layer of CloverDB has been abstracted through a set of interface types to work with any key-value store. At the moment, CloverDB can work with both Badger and Bolt (by default Bolt is used). -
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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 the standard encoding/json package, such as generating "snake_case" names or enabling omitempty behavior by default. -
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DJSON
Fast Go decoder for dynamic JSON
DJSON is a JSON decoder for Go that is 2~ to 3~ times faster than the standard encoding/json and the existing solutions when dealing with arbitrary JSON payload. It is a good approach for people who are using json.Unmarshal together with interface, don't know what the schema is, and still want good performance with minimal changes. DJSON is faster and allocates less memory than the other alternatives. -
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Fast JSON
Fast JSON parser and validator for Go
Fast JSON is a high-performance JSON parser and generator written in Go, designed for speed and efficiency in handling large volumes of structured data. It avoids unnecessary memory allocations and reflection, enabling significantly faster parsing compared to standard libraries. The project provides a low-level API that allows developers to work directly with JSON structures without converting them into intermediate representations. Its design prioritizes minimal overhead and maximum throughput, making it suitable for performance-critical applications such as APIs, data pipelines, and real-time systems. fastjson also supports both parsing and serialization, offering flexibility in data handling. Overall, it is a specialized tool for developers who need fine-grained control over JSON processing performance. -
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Go JSON Diff
Go JSON Diff
Go JSON Diff. -
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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 language version, you can also work with Dart, Go, Ruby, and C#, with more languages to come. Package proto provides functions operating on protobuf messages such as cloning, merging, and checking equality, as well as binary serialization and text serialization. Package jsonpb serializes protobuf messages as JSON. Package ptypes provides helper functionality for protobuf well-known types. -
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GoJSONQ
A simple Go package to Query over JSON/YAML/XML/CSV Data
A simple Go package to Query over JSON Data. It provides a simple, elegant, and fast ODM-like API to access, and query JSON documents. You can query your document using the various query methods such as Find, First, Nth, Pluck, Where, OrWhere, WhereIn, WhereStartsWith, WhereEndsWith, WhereContains, Sort, GroupBy, SortBy, and so on. Also, you can aggregate data after query using Avg, Count, Max, Min, Sum, etc. -
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Grafana Tanka
Flexible, reusable and concise configuration for Kubernetes
The clean, concise, and super flexible alternative to YAML for your Kubernetes cluster. -
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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 the calling application, the use of variables and functions for more dynamic configuration languages. HCL provides a set of constructs that can be used by a calling application to construct a configuration language. The application defines which attribute names and nested block types are expected, and HCL parses the configuration file, verifies that it conforms to the expected structure, and returns high-level objects that the application can use for further processing. -
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JJ
JSON Stream Editor (command line utility)
JJ is a command line utility that provides a fast and simple way to retrieve or update values from JSON documents. It's powered by GJSON and SJSON under the hood. It's fast because it avoids parsing irrelevant sections of json, skipping over values that do not apply, and aborts as soon as the target value has been found or updated. -
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JSON diff and patch
JSON diff and patch
jd is a command line utility and Go library for diffing and patching JSON and YAML values. It supports a native jd format (similar to a unified format) as well as JSON Merge Patch (RFC 7386) and a subset of JSON Patch (RFC 6902). -
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JSONAPI
jsonapi.org style payload serializer and deserializer
jsonapi provides helpers and reference code for working with the JSON:API specification, focusing on predictable serialization, deserialization, and linkage of related resources. It enforces the spec’s conventions—data, attributes, relationships, included—so clients and servers exchange data in a consistent, cacheable way. By centralizing how resource identifiers, links, and pagination metadata are emitted, it reduces subtle incompatibilities between services. The library favors explicit schemas and type-safe bindings where possible, which helps large teams avoid drift in field names and relationship structures. It also offers utilities for sparse fieldsets and compound documents, minimizing payload size while keeping related entities synchronized. With consistent error objects and status mapping, it makes API error handling uniform across clients. -
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JSONUI
jsonui is an interactive JSON explorer on your command line
jsonui is an interactive JSON explorer in your command line. You can pipe any JSON into jsonui and explore it, copy the path for each element. -
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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 but with the same benefits as a build-time optimized encoder. It's almost exclusively able to do all types of assertions and reflection activity during the compile, then makes ample use of the unsafe package during the instruction-set execution (the Marshal call) to make reading and writing very fast. -
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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 man pages for auto-completions on commands that don't have auto-completions already defined. Smarter handling of errors and debugging tools. For example try/catch blocks, line numbers included in error messages, STDOUT highlighted in red and script testing and debugging frameworks baked into the language itself. -
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Nano JSON
Lightweight, facility, high performance golang based game server
Nano is an easy-to-use, fast, lightweight game server networking library for Go. It provides a core network architecture and a series of tools and libraries that can help developers eliminate boring duplicate work for common underlying logic. The goal of nano is to improve development efficiency by eliminating the need to spend time on repetitious network-related programming. Nano was designed for server-side applications like real-time games, social games, mobile games, etc of all sizes. In fact, the nano application is a collection of Components, and a component is a bundle of handlers, once you register a component to nano, nano will register all methods that can be converted to Handler to nano service container. -
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Ponzu
Headless CMS with automatic JSON API
Ponzu is a powerful and efficient open-source HTTP server framework and CMS. It provides automatic, free, and secure HTTP/2 over TLS (certificates obtained via Let's Encrypt), a useful CMS and scaffolding to generate content editors, and a fast HTTP API on which to build modern applications. Ponzu is released under the BSD-3-Clause license. With the rise in popularity of web/mobile apps connected to JSON HTTP APIs, better tools to support the development of content servers and management systems are necessary. Ponzu fills the void where you want to reach for WordPress to get a great CMS, or Rails for rapid development, but need a fast JSON response in a high-concurrency environment. Since HTTP/2 Server Push is used, Go 1.8+ is required. However, it is not required of clients connecting to a Ponzu server to make HTTP/2 requests. -
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SJSON
Set JSON values very quickly in Go
SJSON is a complement to GJSON, also written in Go, focused on setting or modifying values inside JSON documents through path expressions. Just as GJSON allows fast retrieval, SJSON allows fast mutation: you provide a JSON document, a dot-notation path (including array indices or the special “-1” index for appending), and a new value, and SJSON produces the updated JSON. It supports many data types (numbers, strings, bools, arrays, maps), raw byte paths, and options for in-place replacement. Because it avoids full unmarshalling into structs, it is very efficient for many use-cases where you just need to tweak a JSON document quickly. Paths support appending to arrays, creating intermediate structures if missing, and deleting (via the Delete function). It’s ideal for manipulating JSON dynamically in Go without bulky models. -
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Saw
Fast, multi-purpose tool for AWS CloudWatch Logs
saw is a multi-purpose tool for AWS CloudWatch Logs. -
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Sonic JSON
A blazingly fast JSON serializing & deserializing library
A blazingly fast JSON serializing & deserializing library, accelerated by JIT (just-in-time compiling) and SIMD (single-instruction-multiple-data).
