Search Results for "xml-parser"
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Showing 103 open source projects for "xml-parser"
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fast-xml-parser
Validate XML, Parse XML and Build XML rapidly
Validate XML, Parse XML to JS Object, or Build XML from JS Object without C/C++ based libraries and no callback. -
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BSON parser
BSON Parser for node and browser
BSON parser is the core JavaScript implementation of BSON (Binary JSON), the data format used by MongoDB to represent documents on the wire and in storage. It provides encoding and decoding capabilities so JavaScript environments like Node.js and browsers can serialize rich data structures (including types not native to JSON) into the compact, efficient BSON binary representation used by MongoDB drivers and servers. -
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Json Parser in Standard C
JSON parser in standard C
This JSON parser was created for the project of C++ Workflow. -
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Vince's CSV Parser
A modern C++ library for reading, writing, and analyzing CSV
...Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. By using overlapped threads, memory-mapped IO, and efficient data structures, this parser can quickly tackle large CSV files. Furthermore, this parser has a minimal memory footprint and can handle larger-than-RAM files. -
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camaro
camaro is an utility to transform XML to JSON, using Node.js
camaro is a utility to transform XML to JSON, using Node.js bindings to a native XML parser pugixml - one of the fastest XML parsers around. -
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omniparser
Native Golang ETL streaming parser and transform library
Omniparser is a native Golang ETL parser that ingests input data of various formats (CSV, txt, fixed length/width, XML, EDI/X12/EDIFACT, JSON, and custom formats) in streaming fashion and transforms data into desired JSON output based on a schema written in JSON. -
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PHP7
PHP7 / Laravel Multi-format Streaming Parser
When it comes to parsing XML/CSV/JSON/... documents, there are 2 approaches to consider. DOM loading loads all the documents, making it easy to navigate and parse, and as such provides maximum flexibility for developers. Streaming implies iterating through the document, acts like a cursor, and stops at each element in its way, thus avoiding memory overkill. Thus, when it comes to big files, callbacks will be executed meanwhile file is downloading and will be much more efficient as far as memory is concerned. -
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jackson-core
Core part of Jackson that defines Streaming API
This project contains core low-level incremental ("streaming") parser and generator abstractions used by Jackson Data Processor. It also includes the default implementation of handler types (parser, generator) that handle JSON format. The core abstractions are not JSON specific, although naming does contain 'JSON' in many places, due to historical reasons. Only packages that specifically contain the word 'json' are JSON-specific. -
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simdjson
Parsing gigabytes of JSON per second
...The simdjson library uses commonly available SIMD instructions and microparallel algorithms to parse JSON 4x faster than RapidJSON and 25x faster than JSON for Modern C++. The simdjson library uses three-quarters less instructions than state-of-the-art parser RapidJSON. To our knowledge, simdjson is the first fully-validating JSON parser to run at gigabytes per second (GB/s) on commodity processors. It can parse millions of JSON documents per second on a single core. -
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10
Countries States Cities Database
Discover our global repository of countries, states, and cities
Full Database of city state country available in JSON, SQL, XML, YAML & CSV format. All Countries, States and cities are Covered and populated with Different Combinations and versions. The API database is regularly updated to ensure the latest data is available to users. Discover our global repository of countries, states, and cities! Get comprehensive data in JSON, SQL, XML, YAML, and CSV formats. -
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ojg
Optimized JSON for Go
Optimized JSON for Go is a high-performance parser with a variety of additional JSON tools. OjG is optimized to processing huge data sets where data does not necessarily conform to a fixed structure. -
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Jawn
Jawn is for parsing jay-sawn (JSON)
...Currently, Jawn is competitive with the fastest Java JSON libraries (GSON and Jackson) and in the author's benchmarks, it often wins. It seems to be faster than any other Scala parser that exists (as of July 2014). -
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Shale
Shale is a Ruby object mapper and serializer for JSON, YAML, TOML
Shale is a Ruby object mapper and serializer for JSON, YAML, TOML, CSV and XML. It allows you to parse JSON, YAML, TOML, CSV and XML data and convert it into Ruby data structures, as well as serialize data structures into JSON, YAML, TOML, CSV or XML. -
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JSON implementation for Ruby
JSON implementation for Ruby
This is an implementation of the JSON specification according to RFC 4627. You can think of it as a low-fat alternative to XML if you want to store data on disk or transmit it over a network rather than use a verbose markup language. Both variants of the JSON generator generate UTF-8 character sequences by default. If an:ascii_only option with a true value is given, they escape all non-ASCII and control characters with \uXXXX escape sequences, and support UTF-16 surrogate pairs in order to be able to generate the whole range of Unicode code points. ... -
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Fast JSON
Fast JSON parser and validator for Go
Fast JSON is a high-performance JSON parser and generator written in Go, designed for speed and efficiency in handling large volumes of structured data. It avoids unnecessary memory allocations and reflection, enabling significantly faster parsing compared to standard libraries. The project provides a low-level API that allows developers to work directly with JSON structures without converting them into intermediate representations. -
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FeedKit
An RSS, Atom and JSON Feed parser written in Swift
FeedKit is an RSS, Atom and JSON Feed parser written in Swift. Build a URL pointing to an RSS, Atom or JSON Feed. A common scenario in UI environments would be parsing a feed asynchronously from a user-initiated action, such as the touch of a button. Remember, you are responsible for manually bringing the resulting closure to whichever queue is appropriate. Usually to the Main thread, for UI apps, by calling DispatchQueue.main.async. -
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JSON Schema Validator
A fast Java JSON schema validator that supports draft V4, V6, V7, V201
...In addition, it also works for OpenAPI 3.0 request/response validation with some configuration flags. For users who want to collect information from a JSON node based on the schema, the walkers can help. The default JSON parser is the Jackson which is the most popular one. As it is a key component in our light-4j microservices framework to validate request/response against OpenAPI specification for light-rest-4j and RPC schema for light-hybrid-4j at runtime, performance is the most important aspect in the design. -
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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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SBJson 5
This framework implements a strict JSON parser and generator
Chunk-based JSON parsing and generation in Objective-C. SBJson's number one feature is stream/chunk-based operation. Feed the parser one or more chunks of UTF8-encoded data and it will call a block you provide with each root-level document or array. Or, optionally, for each top-level entry in each root-level array. With this you can reduce the apparent latency for each download/parse cycle of documents over a slow connection. You can start parsing and return chunks of the parsed document before the full document has downloaded. ... -
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JC
CLI tool and python library
...In this case, the output will be a python dictionary, or a list of dictionaries, instead of JSON. Two representations of the data are available. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. Certain known values of None are converted to JSON null, known boolean values are converted, and, in some cases, additional semantic context fields are added. -
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Easy Localization
Easy and Fast internationalizing your Flutter Apps
Easy and Fast internationalization for your Flutter Apps. You can use JSON, CSV, HTTP, XML, YAML files, etc. Code generation for localization files and keys. -
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iguana
Universal serialization engine
iguana is a modern, universal and easy-to-use serialization engine developed in C++20 and C++17. Serialize an object to any other format data with compile-time reflection, such as json, xml, binary, table and so on. This library is designed to unify and simplify serialization in a portable cross-platform manner. This library is also easy to extend, and you can serialize any format of data with the library. -
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OSCAL
Open Security Controls Assessment Language (OSCAL)
...The OSCAL website provides an overview of the OSCAL project, including an XML and JSON schema reference, examples, and other resources. -
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DAW JSON Link v3
Fast, convenient JSON serialization and parsing in C++
...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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Coost
A tiny boost library in C++11
coost is an elegant and efficient cross-platform C++ base library. Its goal is to create a sword of C++ to make C++ programming easy and enjoyable. Coost, co for short, is like boost, but more lightweight, the static library built on Linux or Mac is only about 1MB in size. log supports two types of logs: one is level log, which is divided into 5 levels: debug, info, warning, error, and fatal, printing a fatal log will terminate the program; the other is topic log, logs are grouped by topic...
