Open Source Linux JSON Software - Page 3
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Extract TOTP/HOTP secrets
Extract one time password (OTP) secrets from QR codes
The Python script extract_otp_secrets.py extracts one-time password (OTP) secrets from QR codes exported by two-factor authentication (2FA) apps such as "Google Authenticator". -
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JSON Crack
Innovative and open-source visualization application
JSON Crack is a free, open-source data visualization app capable of visualizing data formats such as JSON, YAML, XML, CSV and more, into interactive graphs. With its intuitive and user-friendly interface, JSON Crack makes it easy to explore, analyze, and understand even the most complex data structures. Whether you're a developer working on a large-scale project or a data enthusiast looking to uncover hidden insights, JSON Crack has the tools and features you need to unlock the full potential of your data. -
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JSON5
JSON5 — JSON for Humans
JSON5 is an extension to the popular JSON file format that aims to be easier to write and maintain by hand (e.g. for config files). It is not intended to be used for machine-to-machine communication. JSON5 was started in 2012, and as of 2022, now gets >65M downloads/week, ranks in the top 0.1% of the most depended-upon packages on npm, and has been adopted by major projects like Chromium, Next.js, Babel, Retool, WebStorm, and more. It's also natively supported on Apple platforms like MacOS and iOS. Formally, the JSON5 Data Interchange Format is a superset of JSON (so valid JSON files will always be valid JSON5 files) that expands its syntax to include some productions from ECMAScript 5.1 (ES5). It's also a subset of ES5, so valid JSON5 files will always be valid ES5. This JavaScript library is a reference implementation for JSON5 parsing and serialization and is directly used in many of the popular projects mentioned above. -
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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. -
Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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JavaScript localStorage
A simple, lightweight JavaScript API for handling browser localStorage
A simple, lightweight JavaScript API for handling browser local storage, it is easy to pick up and use has a reasonable footprint of 2.08kb(gzipped: 0.97kb), and has no dependencies. It should not interfere with any JavaScript libraries or frameworks. -
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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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PeerJS
Simple peer-to-peer with WebRTC
PeerJS wraps the browser's WebRTC implementation to provide a complete, configurable, and easy-to-use peer-to-peer connection API. Equipped with nothing but an ID, a peer can create a P2P data or media stream connection to a remote peer. To broker connections, PeerJS connects to a PeerServer. Note that no peer-to-peer data goes through the server. The server acts only as a connection broker. If you don't want to run your own PeerServer, we offer a free cloud-hosted version of PeerServer. PeerServer is open source and is written in node.js. You can easily run your own. PeerJS simplifies peer-to-peer data, video, and audio calls. Add the PeerJS client library to your webpage. The Peer object is where we create and receive connections. PeerJS uses PeerServer for session metadata and candidate signaling. Every Peer object is assigned a random, unique ID when it's created. -
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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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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 multiple Redis drivers (Lettuce and Jedis). Exception translation to Spring’s portable Data Access exception hierarchy for Redis driver exceptions. RedisTemplate that provides a high level abstraction for performing various Redis operations, exception translation and serialization support. Pubsub support (such as a MessageListenerContainer for message-driven POJOs). Redis Sentinel and Redis Cluster support. Reactive API using the Lettuce driver. JDK, String, JSON and Spring Object/X. -
SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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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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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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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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simplejson
simplejson is a simple, fast, extensible JSON encoder/decoder
simplejson is a simple, fast, complete, correct and extensible JSON <http://json.org> encoder and decoder for Python 3.3+ with legacy support for Python 2.5+. It is pure Python code with no dependencies but includes an optional C extension for a serious speed boost. simplejson is the externally maintained development version of the json library included with Python (since 2.6). This version is tested with the latest Python 3.8 and maintains backward compatibility with Python 3.3+ and the legacy Python 2.5 - Python 2.7 releases. The encoder can be specialized to provide serialization in any kind of situation, without any special support by the objects to be serialized (somewhat like pickle). This is best done with the default kwarg to dumps. -
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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. -
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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 complex DSLs for writing tests in 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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ArduinoJson
JSON library for Arduino and embedded C++. Simple and efficient
ArduinoJson is a C++ JSON library for Arduino and IoT (Internet Of Things). ArduinoJson has a simple and intuitive syntax to handle objects and arrays. ArduinoJson supports both JSON serialization and deserialization. ArduinoJson uses a fixed memory allocation, allowing to work on devices with very little RAM. ArduinoJson can filter large inputs to keep only fields that are relevant to your application, thereby saving a lot of memory. ArduinoJson can parse directly from an input Stream or std::istream. ArduinoJson can produce compact or prettified documents. ArduinoJson works directly with strings stored in program memory. ArduinoJson supports two coding styles, with implicit or explicit casts. ArduinoJson deduplicates strings in the JSON document. When you have several identical keys or values, the JsonDocument only stores one of each. In practice, this feature reduces memory consumption by 20-30%. -
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Ason
This library intends to make JSON very easy to interact with in Java
This library intends to make JSON very easy to interact with in Java; it also makes (de)serialization painless. It wraps around the well-known org.json classes (JSONObject, JSONArray, etc.) which also happen to be included in the Android SDK. As we all know, those stock classes tend to be a pain. They feel bulky, and make you try/catch way too many exceptions. -
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BigchainDB Server
Meet BigchainDB. The blockchain database
BigchainDB is the blockchain database. This repository is for the BigchainDB Server. Running and testing the latest version of the BigchainDB Server is easy. Make sure you have a recent version of Docker Compose installed. -
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Bludit
Simple, Fast, Secure, Flat-File CMS
Bludit the Simple, Fast, and Flexible CMS. With Bludit, you can build your own website or blog in just seconds. It’s completely free, open-source, and easy to use. Bludit stores content in JSON format, eliminating the need for database installation or configuration. All you need is a web server with PHP support. As a Flat-File CMS, Bludit offers unparalleled flexibility and speed. Plus, with support for both Markdown and HTML code, creating and managing content has never been easier. -
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Canmatrix
Converting Can (Controller Area Network) Database Formats
Canmatrix is a Python package to read and write several CAN (Controller Area Network) database formats. Canmatrix implements a "Python Can Matrix Object" which describes the can-communication and the needed objects (Board units, Frames, Signals, Values, ...) Canmatrix also includes two Tools (can convert and can compare) for converting and comparing CAN databases. -
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DAW JSON Link v3
Fast, convenient JSON serialization and parsing in C++
Fast, convenient JSON serialization and parsing in C++. The DAW JSON Link library is a high-performance, no allocation, C++ JSON Library. Direct parsing of JSON to your own data structures via simple declarative mappings. Earlier error reporting of unexpected data and errors. Low memory requirement, parser requires a small amount of stack but does not allocate itself. Optimizations based on data types. Does not require owning the mapped types and is not intrusive. -
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Dictionary
A JSON representation of Webster's Unabridged Dictionary
Dictionary is a lightweight Node.js module that provides access to word definitions using WordNet. The project offers a simple interface for retrieving definitions programmatically, making it useful for applications that require dictionary or vocabulary functionality. It is designed to be straightforward, enabling developers to quickly integrate dictionary lookups without heavy dependencies. Since it relies on WordNet data, it provides accurate and widely accepted definitions. The repository also includes usage examples that demonstrate how to incorporate the module into JavaScript projects. As an open source utility, dictionary can be extended or customized to suit different natural language processing or educational applications. -
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Easily store some loose values
Easily store some values
This package makes it easy to store and retrieve some loose values. Stored values are saved as a json file. -
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FlatCC FlatBuffers in C for C
FlatBuffers Compiler and Library in C for C
flatcc has no external dependencies except for build and compiler tools, and the C runtime library. With concurrent Ninja builds, a small client project can build flatcc with libraries, generate schema code, link the project and execute a test case in a few seconds, produce binaries between 15K and 60K, read small buffers in 30ns, build FlatBuffers in about 600ns, and with a larger executable also handle optional json parsing or printing in less than 2 us for a 10 field mixed type message. The JSON parser may change the interface for parsing union vectors in a future release which requires code generation to match library versions. This project builds flatcc, a compiler that generates FlatBuffers code for C given a FlatBuffer schema file. This introduction also creates a separate test project with the traditional monster example, here in a C version. The setup script builds flatcc using CMake, then creates a test project directory with the monster example.
