Open Source Mac JSON Software - Page 7
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JSON Software for Mac
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CyberOPC Sample Client(Windows Forms) included with a CyberOPC Client Library. Based on the CyberOPC Specification (www.cyberopc.org)
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DJSON
Fast Go decoder for dynamic JSON
DJSON is a JSON decoder for Go that is 2~ to 3~ times faster than the standard encoding/json and the existing solutions when dealing with arbitrary JSON payload. It is a good approach for people who are using json.Unmarshal together with interface, don't know what the schema is, and still want good performance with minimal changes. DJSON is faster and allocates less memory than the other alternatives. -
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DSL-JSON library
High performance JVM JSON library
Fastest JVM (Java/Android/Scala/Kotlin) JSON library with advanced compile-time data binding support. Java JSON library designed for performance. Originally built for invasive software composition with DSL Platform compiler. v1 core library was targeting Java6, while v2 targets Java8. So there is no need anymore for dsl-json-java8 project and instead, just dsl-json project should be referenced. From v2 only a single annotation processor is supported, which was previously in the java8 project. Joda and some other specific libraries were removed. If you still need converters for those types, you need to include them in your project. -
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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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Dataclasses JSON
Easily serialize Data Classes to and from JSON
This library provides a simple API for encoding and decoding dataclasses to and from JSON. -
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Decodable
Swift 2/3 JSON unmarshalling done (more) right
Simple and strict, yet powerful object mapping is made possible by Swift 2's error handling. Greatly inspired by Argo, but without a bazillion functional operators. -
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Default composer
JavaScript library to set default values for nested objects
A tiny (~500B) JavaScript library that allows you to set default values for nested objects. "default-composer" is a JavaScript library that allows you to set default values for nested objects. The library replaces empty strings/arrays/objects, null, or undefined values in an existing object with the defined default values, which helps simplify programming logic and reduce the amount of code needed to set default values. To use "default-composer", simply import the library and call the defaultComposer() function with the default values object and the original object that you want to set default values for. -
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DefiantJS
Provides the ability for you to build smart templates applications
Do you need to query large JSON structures? Do you end up coding loops to parse the JSON and identify the data that matches your query? Defiant offers a better way. Defiant extends the global JSON object with a "search" method that enables lightning-fast searches using XPath expressions. Try out the XPath Evaluator to get the idea. DefiantJS provides the ability for you to build smart templates applicable on JSON structures, based upon proven & standardized technologies such as XSLT and XPath. As of v2.0.0, Defiant can be utilized in the Node.js environment. Since there is no default support for XML technologies in Node, the library puppeteer is initiated to mimic the browser environment, with Defiant running. All methods called from Node is piped via Puppeteer. Even though, Defiant now can be used in the Node environment - utilizing Defiant in the browser is recommended. It all boils down to whether you want your servers to run thousands of searches for your clients. -
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Directory Structure To Json
Folder Structure >>> JSON File
Just select any folder from your computer and save equivalent JSON file. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data. While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. These can be used to create interactive time series, scatter, and box plot charts. -
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DocArray
The data structure for multimodal data
DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. Data science powerhouse: greatly accelerate data scientists’ work on embedding, k-NN matching, querying, visualizing, evaluating via Torch/TensorFlow/ONNX/PaddlePaddle on CPU/GPU. Data in transit: optimized for network communication, ready-to-wire at anytime with fast and compressed serialization in Protobuf, bytes, base64, JSON, CSV, DataFrame. Perfect for streaming and out-of-memory data. One-stop k-NN: Unified and consistent API for mainstream vector databases. -
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Doctrine JSON ODM
An object document mapper for Doctrine ORM using JSON
An Object-Document Mapper (ODM) for Doctrine ORM leveraging new JSON types of modern RDBMS. Did you ever dream of a tool creating powerful data models mixing traditional, efficient relational mappings with modern schema-less and NoSQL-like ones? With Doctrine JSON ODM, it's now possible to create and query such hybrid data models with ease. Thanks to modern JSON types of RDBMS, querying schema-less documents is easy, powerful and fast as hell (similar in performance to a MongoDB database)! You can even define indexes for those documents. Doctrine JSON ODM allows to store PHP objects as JSON documents in modern, dynamic columns of an RDBMS. It works with JSON and JSONB columns of PostgreSQL (>= 9.4) and the JSON column type of MySQL. -
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Document Object Model Structured Query Language! Example: 'SELECT {//title[1]=>innerCode} FROM {http://example.com}';
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DovetailDB is a schemaless, JSON-based database. It is similar in spirit to Amazon's SimpleDB, but allows for javascript to be executed on the server, and, within that context, provides full transaction support.
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DroidParts
Carefully crafted Android framework
DroidParts is a carefully crafted Android framework. RESTClient for GETting, PUTting, POSTing, DELETing & InputStream-getting, also speaks JSON. ImageFetcher to asynchronously attach images to ImageViews, with caching, cross-fade & transformation support. -
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EVReflection
Reflection based (Dictionary, CKRecord, NSManagedObject, Realm, JSON
At this moment the master branch is tested with Swift 4.2 and 5.0 beta If you want to continue using EVReflection in an older version, then use the corresponding branch. Run the unit tests to see EVReflection in action. In most cases, EVReflection is very easy to use. Just take a look at the section It's easy to use. But if you do want to do nonstandard specific things, then EVReflection will offer you an extensive range of functionality. -
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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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Event Ruler
Java library that allows matching many thousands of Events per second
Event Ruler (called Ruler in the rest of the doc for brevity) is a Java library that allows matching Rules to Events. An event is a list of fields, which may be given as name/value pairs or as a JSON object. A rule associates event field names with lists of possible values. Event Ruler is a Java library that allows matching many thousands of Events per second to any number of expressive and sophisticated rules. -
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Extended Memory Semantics (EMS)
Persistent shared object memory and parallelism for Node.js and Python
EMS makes possible persistent shared memory parallelism between Node.js, Python, and C/C++. Extended Memory Semantics (EMS) unifies synchronization and storage primitives to address several challenges of parallel programming. A modern multi-core server has 16-32 cores and nearly 1TB of memory, equivalent to an entire rack of systems from a few years ago. As a consequence, jobs formerly requiring a Map-Reduce cluster can now be performed entirely in shared memory on a single server without using distributed programming. -
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FArP is JavaScript function arguments processor. It provides an easy way to parse function input arguments against expected types and values. Thanks to it developers can avoid chains of if conditions at the beginnings of their functions.
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FeatureFlags
Allows developers to configure feature flags
FeatureFlags makes it easy to configure feature flags, A/B and MVT tests via a JSON file which may be bundled with your app or hosted remotely. For remotely-hosted configuration files, you may enable/disable features without another release to the App Store, update the percentages of users in A/B test groups or even roll out a feature previously under A/B test to 100% of your users once you have decided that the feature is ready for prime time. -
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Figma Sprite Generator
A Figma plugin to generate sprite sheets and JSON files from selected
Figma Sprite Generator is a Figma plugin designed to create sprite sheets and corresponding JSON metadata from selected icons. This tool is ideal for designers and developers working on web projects or UI libraries, as it automates sprite generation for more efficient workflows. Users can quickly convert their icons into PNG sprites and extract JSON files with icon dimensions and positions, streamlining the process of incorporating sprites into websites or applications. -
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FileMasta
A search application to explore, discover and share online files
A search application to explore, discover, and share online files. A federated search application for discovering interesting files that are being shared online, such as video, music, books, software, games, subtitles and much more. All data is crawled by od-database which collects information about the contents of servers worldwide. We don’t search file contents. We host no content, we provide only access to already available files in the same way Google and other search engines do. -
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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. -
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Flutter Login Example
100% Shared Code Android/iOS Login Example
This example uses a ScrollView, JSON Rest API, Navigation, Alert Pop-Up, Progress Indicator, Globals, Images in a shared asset folder, and 100% Shared Code. Now with the ability to login with FaceID, TouchID, and Fingerprint Reader on Android.
