Open Source JSON Software - Page 15
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SBJson 5
This framework implements a strict JSON parser and generator
Chunk-based JSON parsing and generation in Objective-C. SBJson's number one feature is stream/chunk-based operation. Feed the parser one or more chunks of UTF8-encoded data and it will call a block you provide with each root-level document or array. Or, optionally, for each top-level entry in each root-level array. With this you can reduce the apparent latency for each download/parse cycle of documents over a slow connection. You can start parsing and return chunks of the parsed document before the full document has downloaded. You can also parse massive documents bit by bit so you don't have to keep them all in memory. -
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SELAEFiles
Transforma txt y AD243 a JSON
Transforma ficheros de apuestas en formato txt y AD243 al nuevo formato de ficheros JSON definido por SELAE para la realización de apuestas por soporte digital (ASD). (Transform text an ad243 files to JSON format files from SELAE company). -
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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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SPyQL
Query data on the command line with SQL-like SELECTs powered by Python
SQL with Python in the middle. SPyQL is a query language that combines the simplicity and structure of SQL with the power and readability of Python. SPyQL offers a command-line interface that allows running SPyQL queries on top of text data (e.g. CSV, JSON). Data can come from files but also from data streams, such as as Kafka, or from databases such as PostgreSQL. Basically, data can come from any command that outputs text :-). More, data can be generated by a Python expression! And since SPyQL also writes to different formats, it allows to easily convert between data formats. -
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SQLModel
SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
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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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ScanAPI
Automated Integration Testing and Live Documentation for your API
Given an API specification, written in YAML/JSON format, ScanAPI hits the specified endpoints, runs the test cases, and generates a detailed report of this execution - which can also be used as the API documentation itself. With almost no Python knowledge, the user can define endpoints to be hit, the expected behavior for each response and will receive a full real-time diagnostic report of the API. -
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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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Shale
Shale is a Ruby object mapper and serializer for JSON, YAML, TOML
Shale is a Ruby object mapper and serializer for JSON, YAML, TOML, CSV and XML. It allows you to parse JSON, YAML, TOML, CSV and XML data and convert it into Ruby data structures, as well as serialize data structures into JSON, YAML, TOML, CSV or XML. -
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C# port / manipulation of json.org's "JSON in Java" implementation (http://www.json.org/java/index.html).
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This is a simple CRUD app that uses basic JQuery functions. Detail screen has CRUD & next/prev buttons. Select a person via the master list screen. Master is a JQ DT with buffering. It uses MySQL. Pls refer to http://tekne-techne.blogspot.com
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This project is retired and moved into the Corn Gate project. Please switch to https://sourceforge.net/projects/corn-gate.corn.p/ link for the project. Simple Remoting is an alternative SOA library which uses JSON instead of XML as its messaging format. Converting popular java object types like POJO, Spring and EJB to services can be done within minutes without any code change on existing classes.
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SingletDAO is a simple java data access frame work to access data in database. A Single Data Access Object to access data in database and eliminates writing custom DAOs. Easy to plug-in. Easy to manage SQL queries. Supports JSON.
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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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Snow is a library which allows to deserialize complex data structure from a simple source in a configurable manner.
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Spartan Schema
Ultra-minimal JSON schemas with Typescript inference
An ultra-minimal, Typescript-compatible alternative to JSON Schema, designed as part of Osmosis. -
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Split serializer is a fast data serializer and deserializer that works over common character streams found on the Internet. It came about due to frustration with the slow speed of JSON.
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Spots
Spots is a cross-platform view controller framework
Spots is a cross-platform view controller framework for building component-based UIs. The internal architecture is built using generic view models that can be transformed both to and from JSON. So, moving your UI declaration to a backend is as easy as pie. Data source and delegate setup is handled by Spots, so there is no need for you to do that manually. The public API is jam-packed with convenience methods for performing mutation, it is as easy as working with a regular collection type. At the top level of Spots, you have the SpotsController which is the replacement for your view controller. -
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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. -
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Spyke
Interact with REST services in an ActiveRecord-like manner
Interact with REST services in an ActiveRecord-like manner. -
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Suretype
Typesafe JSON (Schema) validator
Suretype is a JSON validator targeting TypeScript and JSON Schema. It is ridiculously type-safe when used in TypeScript, which is good for accuracy, but also for aiding IDE auto-complete. It's as easy as Joi, but ~70x faster. It's (at least) as typesafe as Superstruct, but ~100x faster. ~2500x faster than Zod and ~1600x faster than ow. It supports most (if not all) of JSON schema, and nothing beyond that, so that the validator schemas written in TypeScript (or JavaScript) can be ensured to be convertible into JSON schema. This also prevents sure type from becoming feature-bloated, it has a small and extremely simple API. -
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SwiftyJSON
Facilitates the use of JSON data in Swift
Swift is strictly specific about types. But even if explicit typing is good for avoiding making mistakes, it becomes painful when we're dealing with JSON and other aspects that are, by definition, implicit about types. SwiftyJSON, however, facilitates the use of JSON data in Swift. -
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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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Sync
JSON to Core Data and back. Swift Core Data Sync.
Sync eases your everyday job of parsing a JSON response and syncing it with Core Data. Sync is a lightweight Swift library that uses a convention-over-configuration paradigm to facilitate your workflow. Syncing JSON to Core Data is a repetitive tasks that often demands adding a lot of boilerplate code. Mapping attributes, mapping relationships, diffing for inserts, removals and updates are often tasks that don't change between apps. Taking this in account we took the challenge to abstract this into a library. Sync uses the knowledge of your Core Data model to infer all the mapping between your JSON and Core Data, once you use it, it feels so obvious that you'll wonder why you weren't doing this before. -
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TSWeChat
A WeChat alternative. Written in Swift 5
TSWeChat - A WeChat alternative, updated to Swift 5. The cell image in TSChatImageCell is drawn by using a Mask Layer. The chat background can be changed freely so that UI will look perfect. Audio wav files can be automatically converted into amr files which facilitate file transfer to Android devices. Both of the two types of files have been cached.
