Search Results for "python-4suite-xml"
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Showing 15 open source projects for "python-4suite-xml"
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1
RestSharp
Simple REST and HTTP API Client for .NET
...However, RestSharp can call any API over HTTP (but not HTTP/2), as long as you have the resource URI and request parameters that you want to send comply with W3C HTTP standards. RestSharp can take care of serializing the request body to JSON or XML and deserialize the response. It can also form a valid request URI based on different parameter kinds. -
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Connexion
Swagger/OpenAPI First framework for Python on top of Flask
Connexion is a framework on top of Flask that automagically handles HTTP requests defined using OpenAPI (formerly known as Swagger), supporting both v2.0 and v3.0 of the specification. Connexion allows you to write these specifications, then maps the endpoints to your Python functions. This is what makes it unique from other tools that generate the specification based on your Python code. You are free to describe your REST API with as much detail as you want and then Connexion guarantees that it will work as you specified. We built Connexion this way in order to simplify the development process. Reduce misinterpretation about what an API is going to look like. ... -
3
TOML
Tom Preston-Werner's obvious, minimal language
Tom's Obvious, Minimal Language. By Tom Preston-Werner, Pradyun Gedam, et al. TOML aims to be a minimal configuration file format that's easy to read due to obvious semantics. TOML is designed to map unambiguously to a hash table. TOML should be easy to parse into data structures in a wide variety of languages. TOML shares traits with other file formats used for application configuration and data serialization, such as YAML and JSON. TOML and JSON both are simple and use ubiquitous data... -
4
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... -
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5
Framework Benchmarks
Source for the TechEmpower Framework Benchmarks project
...With much help from the community, coverage is quite broad and we are happy to broaden it further with contributions. The project presently includes frameworks on many languages including Go, Python, Java, Ruby, PHP, C#, F#,Clojure, Groovy, Dart, JavaScript, Erlang, Haskell, Scala, Perl, Lua, C, and others. The current tests exercise plaintext responses, JSON serialization, database reads and writes via the object-relational mapper (ORM), collections, sorting, server-side templates, and XSS counter-measures. Future tests will exercise other components and greater computation. -
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gSOAP Toolkit
Development toolkit for Web Services and XML data bindings for C & C++
The gSOAP toolkit is an extensive suite of portable C and C++ software to develop XML Web services with powerful type-safe XML data bindings. Easy-to-use code-generator tools allow you to directly integrate XML data in C and C++. Serializes native application data in XML. Includes WSDL/XSD schema binding and auto-coding tools, stub/skeleton compiler, Web server integration with Apache module and IIS extension, high-performance XML processing with schema validation, fast MIME/MTOM streaming, SOAP and REST Web API development, WS-* protocols (WS-Security, WS-Policy, WS-ReliableMessaging, etc), XML-RPC and JSON. ... -
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NeuroJSON
Scalable, searchable and verifiable neuroimaging data exchange platfor
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8
decimal
Arbitrary-precision fixed-point decimal numbers in go
...The zero-value is 0, and is safe to use without initialization. Addition, subtraction, and multiplication with no loss of precision. Division with specified precision. Database/sql serialization/deserialization. JSON and XML serialization/deserialization. big.Int's API is built to reduce the number of memory allocations for maximal performance. This makes sense for its use-case, but the trade-off is that the API is awkward and easy to misuse. In contrast, it's difficult to make such mistakes with decimal. Decimals behave like other go numbers types: even though a = b will not deep copy b into a, it is impossible to modify a Decimal, since all Decimal methods return new Decimals and do not modify the originals. ... -
9
Go support for Protocol Buffers
The Go support for Google's protocol buffers
Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data, think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol buffers currently support generated code in Java, Python, Objective-C, and C++. ... -
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10
jsonfield
A reusable Django model field for storing ad-hoc JSON data
jsonfield is a reusable model field that allows you to store validated JSON, automatically handling serialization to and from the database. To use, add jsonfield.JSONField to one of your models. Note: django.contrib.postgres now supports PostgreSQL's jsonb type, which includes extended querying capabilities. If you're an end user of PostgreSQL and want full-featured JSON support, then it is recommended that you use the built-in JSONField. However, jsonfield is still useful when your app... -
11
jul-javascript
JUL - The JavaScript UI Language
The JavaScript UI Language (JUL) is a configuration and instantiation module for the JavaScript frameworks. It can be used with any framework that accepts a configuration object as a constructor parameter, or with a custom factory for the other frameworks. JUL parses a tree of configuration objects, and creates the runtime components in the expected order and membership. For the most uses, after this step, you will have your application's user interface up and running. Browser... -
12
jsondata
Modular JSON by trees and branches, pointers and patches
The 'jsondata' package provides for the modular in-memory processing of JSON data by trees, branches, pointers, and patches. The main interface classes are: - JSONData - Core for RFC7159 based data structures. Provides modular data components. - JSONDataSerializer - Core for RFC7159 based data persistence. Provides modular data serialization. - JSONPointer - RFC6901 for addressing by pointer paths. Provides pointer arithmetics. - JSON Relative Pointer -... -
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Trivial Serialization Library
C++11 serialization library
Trivial Serialization Library (TSL) is a simple C++11 framework for object [de]serialization. -
14
LEON
A simple data serialization format that emphasizes writability
LEON (Level Eight Object Notation) is a data serialization format for structured and non-structured data insired by XML and JSON and designed to be more human-readable and human-writable. -
15
quick-json parser
parse/generate json the way you want quickly. configure/validate json
- quick-json features - # Compliant with JSON specification (RFC4627) # High-Performance JSON parser # Supports Flexible/Configurable parsing approach # Configurable validation of key/value pairs of any JSON Heirarchy # Easy to use # Very Less foot print # Raises developer friendly and easy to trace exceptions # Pluggable Custom Validation support - Keys/Values can be validated by configuring custom validators as and when encountered # Validating and Non-Validating parser support # Support for two types of configuration (JSON/XML) for using quick-json validating parser # Require JDK 1.5 # No dependency on external libraries # Support for Json Generation through object serialization # Support for collection type selection during parsing process
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