Open Source Windows JSON Software - Page 7
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CrimeWatching is a webbased interactive graphical map combined with quantitative data from the police to analyze and communicate the relationship between crimes and the places they happened.
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CrowdAnki
Plugin for Anki SRS designed to facilitate cooperation
CrowdAnki is a plugin for http://ankisrs.net/ that allows users to import and export decks/notes and all relevant information in a JSON format. The main purpose is to facilitate crowd-sourcing for Anki decks and notes. Starting with version 0.6 it also features a close integration with Git. Providing you with the ability to automatically maintain a history of edits for your decks. My goal here is to provide a user-friendly description of collaboration workflow. In order to do that, I looked through multiple GUI git clients. For our purposes here, I think GitHub Desktop is the best choice (as the most user-friendly client that works). There is one problem with GitHub Desktop, though - it doesn't have a Linux version. Which makes me particularly sad, as I use Linux as my main OS. -
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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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CyberOPC Sample Client(Windows Forms) included with a CyberOPC Client Library. Based on the CyberOPC Specification (www.cyberopc.org)
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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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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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With the EpisodeGrabber you can keep track of your favorite TV-Show. It is parsing and collecting informations from all TV-Shows on epguides.com even with Cast Pictures. Make a Watchlist and download directly from isohunt.com
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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.
