Open Source Linux JSON Software - Page 5
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pyserde
Yet another serialization library on top of dataclasses
Yet another serialization library on top of data classes, inspired by serde-rs. Declare a class with pyserde's @serde decorator. -
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python-benedict
dict subclass with keylist/keypath support
python-benedict is a dict subclass with keylist/keypath/keyattr support, I/O shortcuts (base64, cli, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml) and many utilities... for humans, obviously. -
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toml++
Header-only TOML config file parser and serializer for C++17
Header-only TOML config file parser and serializer for C++17. -
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uvicorn-gunicorn-fastapi
Docker image with Uvicorn managed by Gunicorn
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning. Optionally with Alpine Linux. -
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Serde JSON
Strongly typed JSON library for Rust
Serde is a framework for serializing and deserializing Rust data structures efficiently and generically. -
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SwiftyJSONAccelerator
macOS app to generate Swift 5 code for models from JSON
MacOS app Codeable Model file Generator For Swift 5. A Swift model generator like the Objective-C JSONAccelerator. Formats and generates models for the given JSON and also breaks them into files making it easy to manage and share between several models. -
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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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encoding
Go package containing implementations of efficient encoding
Go package containing implementations of encoders and decoders for various data formats. At Segment, we do a lot of marshaling and unmarshaling of data when sending, queuing, or storing messages. The resources we need to provision on the infrastructure are directly related to the type and amount of data that we are processing. At the scale we operate at, the tools we choose to build programs can have a large impact on the efficiency of our systems. It is important to explore alternative approaches when we reach the limits of the code we use. This package has no dependencies outside of the core runtime of Go. It requires a recent version of Go. -
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json2csv
command line tool to convert json to csv
Converts a stream of newline-separated JSON data to csv format. Pre-built binaries are available under releases. -
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underscore-java
java port of Underscore.js
underscore-java is the Java port of Underscore.js. -
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5e-database
Database for the D&D 5th Edition API
Just a simple API for things within the Official 5th Edition SRD and is easily accessible through a modern RESTful API. -
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ActiveModelSerializers
Serializer implementation and Rails hooks
There's been a lot of churn around AMS since it began back in Rails 3.2 and a lot of new libraries are around and the JSON:API spec has reached 1.0. If there is to be a 1.0 release of AMS, it will need to address the general needs of serialization in much the way ActiveJob can be used with different workers. The next major release is in development. We're starting simple and avoiding, at least at the outset, all the complications in AMS version, especially all the implicit behavior from guessing the serializer, to the association's serializer, to the serialization type, etc. The basic idea is that models to serializers are a one to many relationship. Everything will need to be explicit. If you want to serialize a User with a UserSerializer, you'll need to call it directly. The serializer will essentially be for defining a basic JSON:API resource object: id, type, attributes, and relationships. -
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Alcinoe
Alcinoe Component Library For Delphi
Alcinoe is a library of visual and non-visual components for Delphi. These components can be used in commercial, shareware, freeware, and open-source projects at no cost. Alcinoe is compatible with Delphi Alexandria 11.3 (Patch #1). If you find this project useful, please consider giving it a 'star' on GitHub. It doesn't cost anything, but it helps to promote the code. To set up Alcinoe, first execute CompileAll.bat. This batch file handles a series of tasks: it retrieves and patches the original Delphi source code, downloads the necessary iOS/Android libraries, constructs the Alcinoe JAR files, builds the BPL (Borland Package Library), compiles tools from the {alcinoe}\Tools directory, and finally compiles all demos in the {alcinoe}\Demos directory. Please be aware that some demos utilize components from devexpress. -
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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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Cutelyst
Web Framework built on top of Qt, using the approach of Catalyst
Create fast and modern web applications that share the same code as your desktop or mobile apps. Why have two or more development teams focused on a specific platform when you can have a single team coding the same code, sharing skills and lines of code. With Qt, you already can write applications for Windows, Linux, Android, MacOS, and iOS using the same source code, Cutelyst allows you to share your C++ code with your web application. Cutelyst has a WSGI server that supports HTTP/1.1, HTTP/2, FastCGI, and WebSockets, it can even be embedded in your application if you like. It also features a plugin for uWSGI which gives us support for HTTP/1.0, FastCGI, and uWSGI protocols but is slower and doesn't support WebSockets. Running standalone or behind a web server is really easy. With your application logic written in C++ your application get's really small, a full CMS (like this one) uses around 5MB of RAM which can be shared with other instances of the same application. -
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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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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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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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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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JsonDB
A simple "database" that use JSON file for Node.JS.
JsonDB is now using the concept of async/await for all its calls since we read from the database file on demand and depending on how the database is configured, we might write at each push. The module stores the data using JavaScript Object directly into a JSON file. You can easily traverse the data to directly reach the desired property using the DataPath. The principle of DataPath is the same as XMLPath. -
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OSCAL
Open Security Controls Assessment Language (OSCAL)
NIST is developing the Open Security Controls Assessment Language (OSCAL), a set of hierarchical, XML-, JSON-, and YAML-based formats that provide a standardized representation of information pertaining to the publication, implementation, and assessment of security controls. OSCAL is being developed through a collaborative approach with the public. Public contributions to this project are welcome. With this effort, we are stressing the agile development of a set of minimal formats that are generic enough to capture the breadth of data in scope (controls specifications), while also capable of ad-hoc tuning and extension to support peculiarities of both (industry or sector) standards and new control types. The OSCAL website provides an overview of the OSCAL project, including an XML and JSON schema reference, examples, and other resources. -
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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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UltraJSON
Ultra fast JSON decoder and encoder written in C with Python bindings
UltraJSON is an ultra-fast JSON encoder and decoder written in pure C with bindings for Python 3.7+. May be used as a drop-in replacement for most other JSON parsers for Python. Used to enable special encoding of "unsafe" HTML characters into safer Unicode sequences. Limits output to ASCII and escapes all extended characters above 127. Default is True. If your end format supports UTF-8, setting this option to false is highly recommended to save space. By default, debugging symbols are stripped on Linux platforms. Setting this environment variable with a value of 1 or True disables this behavior. Users planning to link against an external shared library should be aware of the ABI-compatibility requirements this introduces when upgrading system libraries or copying compiled wheels to other machines. -
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anime-offline-database
A JSON based anime data set with important meta data
The purpose of this repository is to create an offline database containing anime metadata aggregated by different anime metadata providers (such as myanimelist.net, anidb.net, kitsu.io, and more) and allow cross-references between those metadata providers. This file is supposed to be used by and created for manami. A JSON-based anime data set containing the most important meta data as well as cross-references to various anime sites such as MAL, ANIDB, ANILIST, KITSU, and more. -
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dsq
Commandline tool for running SQL queries against JSON, CSV, Excel
Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more. This is a CLI companion to DataStation (a GUI) for running SQL queries against data files. So if you want the GUI version of this, check out DataStation.
