Search Results for "instigate-xml"
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Showing 85 open source projects for "instigate-xml"
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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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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. -
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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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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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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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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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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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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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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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jackson-core
Core part of Jackson that defines Streaming API
...This package is the base on which Jackson's data-binding package builds on. It is licensed under Apache License 2.0. Alternate data format implementations (like Smile (binary JSON), XML, CSV, Protobuf, and CBOR) also build on this base package, implementing the core interfaces, and making it possible to use standard data-binding packages regardless of underlying data format. -
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underscore-java
java port of Underscore.js
underscore-java is the Java port of Underscore.js. -
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World countries JSON
Constantly updated lists of world countries
Constantly updated lists of world countries and their associated alpha-2, alpha-3 and numeric country codes as defined by the ISO 3166 standard, available in CSV, JSON , PHP, SQL and XML formats, in multiple languages and with national flags included; also available are the ISO 3166-2 codes of provinces/ states associated with the countries. Also available are the ISO 3166-2 codes used for identifying the principal subdivisions (e.g., provinces or states) of all countries coded in ISO 3166-1. -
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JSON Crack
Innovative and open-source visualization application
JSON Crack is a free, open-source data visualization app capable of visualizing data formats such as JSON, YAML, XML, CSV and more, into interactive graphs. With its intuitive and user-friendly interface, JSON Crack makes it easy to explore, analyze, and understand even the most complex data structures. Whether you're a developer working on a large-scale project or a data enthusiast looking to uncover hidden insights, JSON Crack has the tools and features you need to unlock the full potential of your data. -
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granary
The social web translator
The social web translator. Fetches and converts data between social networks, HTML and JSON with microformats2, ActivityStreams/ActivityPub, Atom, JSON Feed, and more. Granary is a library and REST API that fetches and converts between a wide variety of social data sources and formats. Free yourself from silo API chaff and expose the sweet social data foodstuff inside in standard formats and protocols. -
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JSONView
A web extension that helps you view JSON documents in the browser
...Normally when encountering a JSON document (content type application/json), Firefox simply prompts you to download the view. With the JSONView extension, JSON documents are shown in the browser similar to how XML documents are shown. The document is formatted, highlighted, and arrays and objects can be collapsed. Even if the JSON document contains errors, JSONView will still show the raw text. JSONView is a Web extension compatible with Firefox and Google Chrome that helps you view JSON documents in the browser. Once you've got JSONView installed, check out the example JSON file to see the extension in action! ... -
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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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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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python-benedict
dict subclass with keylist/keypath support
python-benedict is a dict subclass with keylist/keypath/keyattr support, I/O shortcuts (base64, cli, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml) and many utilities... for humans, obviously. -
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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.). A user manual... -
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sq data wrangler
sq data wrangler
...It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure (tables, columns, size). You can use sq diff to compare tables, or entire databases. sq has commands for common database operations to copy, truncate, and drop tables. -
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generatedata
A powerful, feature-rich, random test data generator
This is the repo for the downloadable version of generatedata.com. The script is essentially an engine to generate any sort of random data in any format. It currently comes with 30 or so Data Types (types of data it generates), 12 Export Types (formats for the data, like CSV, SQL, JSON), plus around 32 data sets for specific countries (city names, regions, etc). But more importantly, it can be extended in any way you want. Check out the developer documentation for more information on that.... -
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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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xsd2pgschema
Relational database replication tool based on XML Schema
xsd2pgschema is a Java application suite, which converts XML Schema 1.1 (hierarchical data model) to PostgreSQL DDL (relational data model) and supports XML data migration into PostgreSQL based on the XML Schema without defects on information content. 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. ... -
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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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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. ...
