Open Source Linux JSON Software - Page 13
Sort By:
JSON Software for Linux
View 8133 business solutions-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
1
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. -
2
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. -
3
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. -
4
Saw
Fast, multi-purpose tool for AWS CloudWatch Logs
saw is a multi-purpose tool for AWS CloudWatch Logs. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
-
5
Serde JSON
Strongly typed JSON library for Rust
Serde is a framework for serializing and deserializing Rust data structures efficiently and generically. -
6
Showtime
A Minor Project made in Python using OMDb API and Tkinter for Frontend
A Minor Project made in Python using Tkinter for frontend which fetches Data about Movies/TV-Series from an Online Database and uses the OMDB REST API and pyImdb to show Information about movies. Github : https://github.com/Cyborg117/Showtime -
7
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
-
8
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.
-
9
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.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
10
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. -
11
Snow is a library which allows to deserialize complex data structure from a simple source in a configurable manner.
-
12
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). -
13
Spartan Schema
Ultra-minimal JSON schemas with Typescript inference
An ultra-minimal, Typescript-compatible alternative to JSON Schema, designed as part of Osmosis. -
14
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.
-
15
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. -
16
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. -
17
Spyke
Interact with REST services in an ActiveRecord-like manner
Interact with REST services in an ActiveRecord-like manner. -
18
StringZilla
10x faster string search, split, sort, and shuffle for long strings
StringZilla is the Godzilla of string libraries, splitting, sorting, and shuffling large textual datasets. StringZilla uses a heuristic so simple it's almost stupid... but it works. It matches the first few letters of words with hyper-scalar code to achieve memcpy speeds. The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them. -
19
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. -
20
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. -
21
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. -
22
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. -
23
Telize
High performance JSON IP and GeoIP REST API (IP Geolocation)
Telize is a REST API built in Go allowing to get a visitor IP address and to query location information from any IP address. It outputs JSON-encoded IP geolocation data, and supports both JSON and JSONP. Geolocation operations are performed using the MaxMind DB Reader for Go which caches the database in RAM. Therefore, Telize has very minimal overhead and should be blazing fast. This service offers a REST API allowing to get a visitor IP address and to query location information from any IP address. It outputs JSON-encoded IP geolocation data, and supports both Cross-origin resource sharing (CORS) and JSONP. -
24
TempleApp
Android App which handles the information about temple
This app is a cost-efficient way of maintaining records of poojas, donations made by people and also all the financial records in temples. Using this app, people in the temple counter will be able to enter all the details regarding the poojas they want or some donations they want to do for the temple. This app is connected to a printer so that it will print the details of pooja registrations of users. The app has a login interface and only some people like General secretary, president and treasurer of the temple can log in and be able to access the complete database. -
25
The Kauri project is a resource-oriented, Java-based, web application development framework.
