Open Source JSON Software - Page 3
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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 composite JSON encoders/layouts can be used to output any JSON format/data by configuring them with various JSON providers. The Logstash encoders/layouts are really just extensions of the general composite JSON encoders/layouts with a pre-defined set of providers. The logstash encoders/layouts are easier to configure if you want to use the standard logstash version 1 output format. -
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PHP7
PHP7 / Laravel Multi-format Streaming Parser
When it comes to parsing XML/CSV/JSON/... documents, there are 2 approaches to consider. DOM loading loads all the documents, making it easy to navigate and parse, and as such provides maximum flexibility for developers. Streaming implies iterating through the document, acts like a cursor, and stops at each element in its way, thus avoiding memory overkill. Thus, when it comes to big files, callbacks will be executed meanwhile file is downloading and will be much more efficient as far as memory is concerned. -
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XLog
Android logger, pretty, powerful and flexible, log to everywhere
Lightweight and pretty, powerful and flexible logger for Android and java, can print the log to Logcat, Console, and Files, or anywhere if you like. -
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orjson
Fast, correct Python JSON library supporting dataclasses, datetimes
orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. 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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react-jsonschema-form
A React component for building Web forms from JSON Schema
A simple React component capable of using JSON Schema to declaratively build and customize web forms. -
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D++
C++ Discord API Bot Library - D++ is Lightweight and scalable
D++ is a lightweight and simple library for Discord written in modern C++. It is designed to cover as much of the API specification as possible and to have an incredibly small memory footprint, even when caching large amounts of data. It is created by the developer of TriviaBot and contributed to by a dedicated team of developers. -
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DataSet Serialize for Delphi and Lazarus
JSON to DataSet and DataSet to JSON converter for Delphi and Lazarus
DataSet Serialize is a set of features to make working with JSON and DataSet simple. It has features such as exporting or importing records into a DataSet, validate if JSON has all required attributes (previously entered in the DataSet), exporting or importing the structure of DataSet fields in JSON format. In addition to managing nested JSON through master detail or using TDataSetField (you choose the way that suits you best). All this using class helpers, which makes it even simpler and easier to use. -
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Framework Benchmarks
Source for the TechEmpower Framework Benchmarks project
If you're new to the project, welcome! Please feel free to ask questions here. We encourage new frameworks and contributors to ask questions. We're here to help! This project provides representative performance measures across a wide field of web application frameworks. With much help from the community, coverage is quite broad and we are happy to broaden it further with contributions. The project presently includes frameworks on many languages including Go, Python, Java, Ruby, PHP, C#, F#,Clojure, Groovy, Dart, JavaScript, Erlang, Haskell, Scala, Perl, Lua, C, and others. The current tests exercise plaintext responses, JSON serialization, database reads and writes via the object-relational mapper (ORM), collections, sorting, server-side templates, and XSS counter-measures. Future tests will exercise other components and greater computation. -
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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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JSON implementation for Ruby
JSON implementation for Ruby
This is an implementation of the JSON specification according to RFC 4627. You can think of it as a low-fat alternative to XML if you want to store data on disk or transmit it over a network rather than use a verbose markup language. Both variants of the JSON generator generate UTF-8 character sequences by default. If an:ascii_only option with a true value is given, they escape all non-ASCII and control characters with \uXXXX escape sequences, and support UTF-16 surrogate pairs in order to be able to generate the whole range of Unicode code points. All strings, that are to be encoded as JSON strings, should be UTF-8 byte sequences on the Ruby side. To encode raw binary strings, that aren't UTF-8 encoded, please use the to_json_raw_object method of String (which produces an object, that contains a byte array) and decode the result on the receiving endpoint. -
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JSONPlaceholder
A simple online fake REST API server
JSONPlaceholder is a free, fake online REST API designed for prototyping, tutorials, and UI demos without standing up a real backend. It provides predictable endpoints for resources like posts, comments, albums, photos, todos, and users with realistic data shapes. Because the data is publicly available and stable, you can build fetch logic, paginate, and render lists while focusing on front-end patterns rather than server plumbing. The API accepts typical HTTP verbs and returns JSON in a consistent format, making it easy to swap with a real server later. It’s widely used in examples, workshops, and automated tests where a dependable dummy service accelerates iteration. With zero setup, it removes a major friction point for learning HTTP clients and front-end data flows. -
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TradingView Chart Data Extractor
Extract price and indicator data from TradingView charts
Ensure that you zoom/pan such that the oldest date you desire is visible on TradingView before publishing the chart. Too many indicators or too low a time resolution will increase the data points and potentially overload the free server. Avoid this by hosting/running the script on your local machine or scraping multiple times with fewer indicators and manually combining the CSV afterward. Simply append the URL of a chart/idea published on TradingView to the link below. This is not the URL of a security's chart, but the URL for a user-published chart. -
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TreeFrog Framework
TreeFrog Framework, High-speed C++ MVC Framework for Web Applications
TreeFrog Framework is a high-speed and full-stack C++ framework for developing Web applications, which supports HTTP and WebSocket protocol. Web applications can run faster than that of scripting language because the server-side framework was written in C++/Qt. In application development, it provides an O/R mapping system and template systems on an MVC architecture, aims to achieve high productivity through the policy of convention over configuration. TreeFrog Framework is cross-platform. It runs on Windows, of course, but also on UNIX-like Operating Systems, macOS, and Linux. Using Windows open-source coding, it is possible to support Linux. Web applications that run on multiple platforms are also possible, simply by recompiling the source code. TreeFrog Framework is open-source software, under the new BSD license (3-clause BSD License). -
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ZIO JSON
Fast, secure JSON library with tight ZIO integration
ZIO Json is a fast and secure JSON library with tight ZIO integration. The goal of this project is to create the best all-round JSON library for Scala. Extreme performance is achieved by decoding JSON directly from the input source into business objects (docs/inspired by plokhotnyuk). Although not a requirement, the latest advances in Java Loom can be used to support arbitrarily large payloads with near-zero overhead. Best-in-class security is achieved with an aggressive early exit strategy that avoids costly stack traces, even when parsing malformed numbers. Malicious (and badly formed) payloads are rejected before finishing reading. -
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browser-compat-data
This repository contains compatibility data for Web technologies
The browser-compat-data ("BCD") project contains machine-readable browser (and JavaScript runtime) compatibility data for Web technologies, such as Web APIs, JavaScript features, CSS properties, and more. Our goal is to document accurate compatibility data for Web technologies, so web developers may write cross-browser compatible websites more easily. BCD is used in web apps and software such as MDN Web Docs, CanIUse, Visual Studio Code, WebStorm and more. -
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json-joy
json-joy — JSON CRDT, JSON CRDT Patch, JSON Patch
json-joy library implements cutting-edge real-time and collaborative editing algorithms and other utilities for JSON data models. Major focus of json-joy is development of the JSON CRDT protocol, a Conflict-free Replicated Data Type that enables seamless merging of changes in JSON data models, avoiding conflicts between replicas. -
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jsonschema
An implementation of the JSON Schema specification for Python
jsonschema is an implementation of the JSON Schema specification for Python. Full support for Draft 2020-12, Draft 2019-09, Draft 7, Draft 6, Draft 4 and Draft 3. Lazy validation that can iteratively report all validation errors. Programmatic querying of which properties or items failed validation. -
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log4rs
A highly configurable logging framework for Rust
log4rs is a highly configurable logging framework modeled after Java's Logback and log4j libraries. If you are using the file rotation in your configuration there is a known substantial performance issue so listen up! By default the gzip feature is enabled and when rolling files it will zip log archives automatically. This is a problem when the log archives are large as the zip happens in the main thread and will halt the process while the zip is completed. Be advised that the gzip feature will be removed from default features as of 1.0. -
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omniparser
Native Golang ETL streaming parser and transform library
Omniparser is a native Golang ETL parser that ingests input data of various formats (CSV, txt, fixed length/width, XML, EDI/X12/EDIFACT, JSON, and custom formats) in streaming fashion and transforms data into desired JSON output based on a schema written in JSON. -
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restc-cpp C++ library
Modern C++ REST Client library
The magic that takes the pain out of accessing JSON API's from C++. It formulates a HTTP request to a REST API server. Then, it transforms the JSON formatted payload in the reply into a native C++ object (GET). It Serializes a native C++ object or a container of C++ objects into a JSON payload and sends it to the REST API server (POST, PUT). It formulates an HTTP request to the REST API without serializing any data in either direction (typically DELETE). It uploads a stream of data, like a file, to an HTTP server. It downloads a stream of data, like a file or an array of JSON objects, from a HTTP server. -
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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 the output, you can use the serialize and deserialize functions. -
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OpenEXI
EXI implementations in Java and C#
Open source .Net (C#) / Java implementation of the W3C Efficient XML Interchange (EXI) format specification. As a corollary to XML, EXI is an alternative, very efficient format that has all of the mechanics of XML, but is much more compact and is faster to exchange. - README (about Nagasena EXI implemenation) https://www.dropbox.com/s/adh83u9z1x1czv6/README.txt?dl=0 - Nagasena EXI grammar interchange format (PDF) https://www.dropbox.com/s/etrpuchaddplq2s/EXIGram.pdf?dl=0 - Introduction to OpenEXI (PDF) https://www.dropbox.com/s/n2545xm0jjyui2d/IntroToOpenEXI.pdf?dl=0 -
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xsd2pgschema
Relational database replication tool based on XML Schema
xsd2pgschema is a Java application suite, which converts XML Schema 1.1 (hierarchical data model) to PostgreSQL DDL (relational data model) and supports XML data migration into PostgreSQL based on the XML Schema without defects on information content. It also supports full-text indexing via either Apache Lucene or Sphinx Search utilizing the relational data model. File conversion from XML to CSV, TSV, or JSON is possible as well as mapping XML Schema to JSON Schema. Obtained PostgreSQL database can be optimized at user's discretion. Moreover, differential update, and XPath query evaluation over PostgreSQL are possible. PgSchema server, serialized relational data model server, can be used to speed up the analysis of complex XML Schema. Large XML file can be split through xmlsplitter, a flexible XML splitter based on XPath and StAX. -
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XM32 To Wing Converter
An X32/M32 scene to Wing snapshot converter
This apps converts Behringer X32/M32 scene files to the new Wing snapshot files. Scenes includes multiple lines of OSC commands and saves most of the settings of the console. The new Wing snapshots uses a completely different protocol (called JSON) that saves all of the console settings.
