Search Results for "mind-mapping"
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Showing 30 open source projects for "mind-mapping"
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1
ObjectMapper
Simple JSON Object mapping written in Swift
...Once your class implements Mappable, ObjectMapper allows you to easily convert to and from JSON. Use functions to validate JSON prior to object serialization provide an existing cached object to be used for mapping, return an object of another type (which also conforms to BaseMappable) to be used for mapping. For instance, you may inspect the JSON to infer the type of object that should be used for mapping. ObjectMapper supports dot notation within keys for easy mapping of nested objects. ObjectMapper also supports custom transforms that convert values during the mapping process. ... -
2
Sync
JSON to Core Data and back. Swift Core Data Sync.
...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. -
3
QxOrm library
C++ Qt ORM (Object Relational Mapping) and ODM library
QxOrm library is an Object Relational Mapping (ORM) and Object Document Mapper (ODM) database library for C++ Qt developers. QxEntityEditor is a graphic editor for QxOrm library : QxEntityEditor provides a graphic way to manage the data model. QxEntityEditor is multi-platform (available for Windows, Linux, and Mac OS X) and generates native code for all environments, desktop (Windows, Linux, Mac OS X), embedded and mobile (Android, iOS, Windows Phone, Raspberry Pi, etc.). -
4
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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5
aconfig
Simple, useful and opinionated config loader
Simple, useful and opinionated config loader. There are many solutions regarding configuration loading in Go. I was looking for a simple loader that is as easy to use and understand as possible. The goal was to load config from 4 places: defaults (in the code), files, environment variables, command-line flags. This library works with all of these sources. -
6
typescript-generator
Generates TypeScript from Java, JSON declarations, REST service client
typescript-generator is a tool for generating TypeScript definition files (.d.ts) from Java JSON classes. If you have REST service written in Java (or another JVM language) using object to JSON mapping you can use typescript-generator to generate TypeScript interfaces from Java classes. -
7
Spectral
A flexible JSON/YAML linter for creating automated style guides
...Spectral is open-source but is also baked into Stoplight, with extensions for VS Code and other integration options, giving you real-time feedback wherever you design APIs. Spectral can be used as a generic ruleset engine on any JSON or YAML data but was built with OpenAPI, AsyncAPI, and JSON Schema in mind. Use Spectral rules to target API descriptions for quality improvement or enforce API Style Guide rules, such as naming conventions for OpenAPI models or prohibiting integers in URLs. -
8
REST API Response Builder for Laravel
Builds nice, normalized and easy to consume REST JSON responses
...It's lightweight, with no dependencies, extensively tested, and simple to use yet flexible and powerful, with support for on-the-fly data conversion, localization support, automatic message building, chained APIs, and (hopefully) exhaustive documentation. But that's not all! The JSON structure produced by ResponseBuilder is designed with users of your API in mind, so its structure is predictable and well-defined which makes dealing with your API using ResponseBuilder library a breeze. Simple JSON response, with a well-defined and predictable structure, easy to consume without any hassle or trickery. Your clients will love it. -
9
StringZilla
10x faster string search, split, sort, and shuffle for long strings
...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. -
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10
json-render
Generate dashboards, widgets, apps, and data visualizations
json-render is a lightweight, framework-agnostic utility designed to turn JSON data into usable HTML layouts automatically, offering a straightforward way to visualize structured data without writing bespoke template code. It takes deeply nested JSON objects and renders them into intuitive, readable UIs by mapping data types and keys to semantic HTML elements, which helps developers prototype dashboards, debugging tools, or data-driven interfaces quickly. The tool is built to be embeddable in any JavaScript environment — client-side or server-side — without dependencies on a particular frontend framework, making it easy to drop into documentation sites, dev tools, or internal utilities. ... -
11
yq JSON
Command-line YAML, XML, TOML processor
Before using yq, you also have to install its dependency, jq. See the jq installation instructions for details and directions specific to your platform. On macOS, yq is also available on Homebrew use brew install python-yq. -
12
TreeFrog Framework
TreeFrog Framework, High-speed C++ MVC Framework for Web Applications
...Web applications can run faster than that of scripting language because the server-side framework was written in C++/Qt. In application development, it provides an O/R mapping system and template systems on an MVC architecture, aims to achieve high productivity through the policy of convention over configuration. TreeFrog Framework is cross-platform. It runs on Windows, of course, but also on UNIX-like Operating Systems, macOS, and Linux. Using Windows open-source coding, it is possible to support Linux. ... -
13
Connexion
Swagger/OpenAPI First framework for Python on top of Flask
...We built Connexion this way in order to simplify the development process. Reduce misinterpretation about what an API is going to look like. With Connexion, you write the spec first. Connexion then calls your Python code, handling the mapping from the specification to the code. This incentivizes you to write the specification so that all of your developers can understand what your API does, even before you write a single line of code. -
14
xsd2pgschema
Relational database replication tool based on XML Schema
...It also supports full-text indexing via either Apache Lucene or Sphinx Search utilizing the relational data model. File conversion from XML to CSV, TSV, or JSON is possible as well as mapping XML Schema to JSON Schema. Obtained PostgreSQL database can be optimized at user's discretion. Moreover, differential update, and XPath query evaluation over PostgreSQL are possible. PgSchema server, serialized relational data model server, can be used to speed up the analysis of complex XML Schema. Large XML file can be split through xmlsplitter, a flexible XML splitter based on XPath and StAX. -
15
crossplane
Quick and reliable way to convert NGINX configurations into JSON
Reliable and fast NGINX configuration file parser and builder. Since crossplane is usually used to create payloads that are sent to different servers, it's important to keep security in mind. For that reason, the --ignore option was added. It can be used to keep certain sensitive directives out of the payload output entirely. -
16
JSONAPI
jsonapi.org style payload serializer and deserializer
...It also offers utilities for sparse fieldsets and compound documents, minimizing payload size while keeping related entities synchronized. With consistent error objects and status mapping, it makes API error handling uniform across clients. -
17
json-rust
JSON implementation in Rust
...JSON is a very loose format where anything goes - arrays can hold mixed types, object keys can change types between API calls or not include some keys under some conditions. Mapping that to idiomatic Rust structs introduces friction. -
18
GCDWebServer
The #1 HTTP server for iOS, macOS & tvOS
GCDWebServer is a modern and lightweight GCD based HTTP 1.1 server designed to be embedded in iOS, macOS & tvOS apps. Elegant and easy to use architecture with only 4 core classes: server, connection, request and response. Well designed API with fully documented headers for easy integration and customization. Entirely built with an event-driven design using Grand Central Dispatch for best performance and concurrency. No dependencies on third-party source code. Parser for web forms submitted... -
19
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. -
20
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... -
21
HandyJSON
A handy swift json-object serialization/deserialization library
...Compared with others, the most significant feature of HandyJSON is that it does not require the objects inherit from NSObject(not using KVC but reflection), nor implements a 'mapping' function(writing value to memory directly to achieve property assignment). HandyJSON is totally dependent on the memory layout rules inferred from Swift runtime code. We are watching it and will follow every bit if it changes. To support deserialization from JSON, a class/struct needs to conform to 'HandyJSON' protocol. It's truly protocol, not some class inherited from NSObject. ... -
22
Groot
From JSON to Core Data and back
Groot provides a simple way of serializing Core Data object graphs from or into JSON. It uses annotations in the Core Data model to perform the serialization. -
23
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. -
24
Jsonmodel
Magical Data Modeling Framework for JSON
JSONModel is an Objective-C library that simplifies the parsing and serialization of JSON data into strongly-typed model objects. It automatically maps JSON to Objective-C classes and supports validation, optional properties, and nested models. JSONModel helps streamline networked data handling in iOS and macOS apps. -
25
Artemis
Cassandra "ORM" with hooks for Jersey integration if desired
Using the new CQL3 driver by Datastax Artemis provides extremely easy to use "ORM" like functionality for Cassandra. It also contains hooks for integration into Jersey2 to enable rapid development of RESTful services, or even websites, if you enable JSP functionality for Jersey. If there is a demand, I could add a plugin to render views using things like Velocity, etc. See https://sourceforge.net/p/wicca/wiki/Home/ for more documentation
