CSV to JSON

.NET's fastest JSON, JSV and CSV Text Serializers. Fast, Light, Resilient. Benchmarks at: http://SimpleStack.net/benchmarks/ Includes the String and Stream functionality for all the ServiceStack projects including: - T.Dump() generic extension method for easy dbugging and introspection of types - WebRequest, List, Dictionary and DateTime extensions

This is the Oracle connector for ETLBox. It provides access to Oracle databases, allowing you to process relational data for enterprise applications. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

This is the MariaDB connector for ETLBox. It enables you to interact with MariaDB databases, supporting data migration and integration tasks. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

This is the Analysis Services connector for ETLBox. It enables you to read and write data to Microsoft SQL Server Analysis Services (SSAS), making it easier to process and manage analytical models. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

This is the SQLite connector for ETLBox. It allows you to work with complete SQLite databases, ideal for embedded and local applications. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

This is the ODBC connector for ETLBox. It allows you to connect to databases and systems that support ODBC drivers, offering flexibility for legacy and custom data sources. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

The GroupDocs.Conversion Cloud SDK for .NET has been developed to help you get started with using our document conversion REST API, allowing to seamlessly convert your documents to any format you need. With this single API, you can convert back and forth between over 50 types of documents and images, including all Microsoft Office and OpenDocument file formats, PDF documents, HTML, CAD, raster images and many more.

Most of data science projects require extracting data from csv files. So I customise an in-memory data model "Binaram" which supports reading csv file to Binaram and convert to DataTable, JSON, HTML or XML at ultra speed.

File provider for Entity Framework Core (to be used for development purposes)

Document Viewing REST APIs for Any Platform. Boost your document viewing process to view over 50 document and image formats in any application, using our native document viewer APIs for cloud.

This is the OleDb connector for ETLBox. It enables integration with systems supporting OleDb, making it easy to work with older databases and applications. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

Convert CSV to JSON

[.NET 4.6.1+] - DisposableObservable: a class for creating Observable sequences with TPL easily as Observable.Create - [IObservable].Serialize: wrap all subscriptions into a single ISubject against the sourcing observable - [IObservable].AsAsync: execute all functions on TPL - [IObservable].Fork: add another subscription to the observable creating a new child observable stream - [IObservable].Where(filter, elseObservable): apply the where in the usual way, and generate an Else observable to continue work in the other case - [IObservable].ToJson: serialize in Json all values - [IObservable].ToCSV: serialize in CSV columns all values (configurable delimiter) - [IObservable].OnLastOrDefault: do something when observable completes - ObservableStreamReader: route binary data from a Stream to subscribers

Text Data Input/Output Extensions for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. This package contains strong-named assemblies for legacy use cases (not recommended).

xSkrape provides parsing / tabular detection for structured, semi and non-structured data sources with minimal coding. Interact with HTML, JSON, XML, CSV, Excel, DropBox, Google Docs and other sources using simple directives. This package lets you embed xSkrape functionality in your .NET Framework apps including file-system access, based on an unlimited usage, per machine/month model. Samples project available on github and nuget.

Aspose.Cells.GridDesktop for .NET consists of API and Desktop controls to create, process, manipulate and convert Microsoft Excel® spreadsheets without needing Office Automation.

This tool will help you to check your FetchXML results easly :) 1- You can run FetchXML query and show results into a clear view grid. 2- You can convert and run a SQL Select statment on CRM directly. 3- You can run an on-demand workflow against all selected records. 4- You can run and export data on the fly to Csv file. 5- You can run and export data on the fly to Sql server Database. 6- You can run and export data on the fly to Json file. 7- format and copy the XML to use it directly in C#. 8- Generate a C# class based on FetchXML query. 9- You can write C# script to run it against result set.

Simple library which provides access to easy dataset generation for testing purposes.Datasets can be afterwards exported to JSON and CSV files as well as to database table.

.NET Core global tool for C1DataEngine.

JSON, JSV and CSV Text Serializers used in servicestack.net.

.NET's fastest JSON, JSV and CSV Text Serializers. Fast, Light, Resilient. Contains ServiceStack's high-performance text-processing powers, for more info see: https://github.com/ServiceStack/ServiceStack.Text

AVRO extension to Cinchoo ETL framework

A free to use library as wrapper around the HttpClient to use as a download manager or as easy producer consumer implementation. All Requests will be handled by an PriorityQueue in a parallel state to have a simple and efficient way to handle many Requests. Tested with more than 1000 HttpRequests. Also includes retry, priority and cancel function. Classes: • StatusRequest: Calls a Head request and returns a response message with the headers. • OwnRequest: Wrapper around your own requests. Easy to self-expand function. • SiteRequest: Scans a website for all references. • LoadRequest: To download the response into a file. o This is a HTTP file downloader with pause and resuming function. Returns an IProgress to get the download progress.

Generate Name Address City ZipCode Color and a lot more (Current Languages: NL BE US)

This is the Redis connector for ETLBox. It enables integration with Redis for caching and key-value storage. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

Import or construct, modify, filter and export csv files. Can also import and export from Excel, json, DataTable, stream, string, ExpandoObject.

xSkrape provides parsing / tabular detection for structured, semi and non-structured data sources with minimal coding. Interact with HTML, JSON, XML, CSV, Excel, DropBox, Google Docs and other sources using simple directives. This package contains a .cs file with example usage of the REST-based version.

FSharp.Data package for FarNet.FSharpFar

xSkrape provides parsing / tabular detection for structured, semi and non-structured data sources with minimal coding. Interact with HTML, JSON, XML, CSV, Excel, DropBox, Google Docs and other sources using simple directives. This package contains a .cs file with example usage of the InProc version.

Document Compare REST APIs for Any Platform. Boost your document compare process to compare over 50 document and image formats in any application, using our native document comparison APIs for cloud.

This is the IBM Db2 connector for ETLBox. It allows you to connect to IBM Db2 databases and handle relational data for integration, migration, and reporting. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

This is the MongoDB connector for ETLBox. It helps you work with MongoDB collections, offering support for NoSQL data processing and transformations. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

FastReport .NET is a full-featured reporting solution for .NET Framework and .NET Core. Various report objects will allow your report to look exactly how you want it to: 13 types of bands, 25 types of barcodes, table object, diagram, maps, shapes, line, PolyLine, Polygon and many more. FastReport.Net supports export to various popular formats, such as PDF/A, Excel, Word, Open Office, HTML, CSV, Json, XAML, ZPL, etc.

The logic which can be utilised to build a Compser app/extension

This is the Couchbase connector for ETLBox. It allows you to integrate with Couchbase databases, providing fast and flexible NoSQL data processing. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

The ServiceStack serializer implementations for EyeSoft ecosystem.

This package provides the function to save database tables before and after changes as CSV, JSON and Excel files. It's designed for the purpose to automatically generate evidence files in unit-tests.

JSON, JSV and CSV Text Serializers used in servicestack.net.

Pansynchro connectors to read from JSON, CSV, and plain text data sources.

Kangal is extension library for data operations. Like DataReader, SqlConnection or DataTable.

This is the Parquet connector for ETLBox. It lets you handle Parquet files, offering an efficient way to process columnar data. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

json / xml / csv 等编码的封装

Analytical Data Engine for .NET

Extensions for Etl.Net to get Configuration Connectors parser from json

DC# Converter is a simple, yet powerful multi-functional conversion tool. Currently supports conversion between CSV, JSON, and XML.

Library providing methods to export or import data for a list of objects. ReadMe will show how to start.

A library that provides async IO operations and transactions. Supports conversions back and forth from popular formats like Json, Bson, Xml, Csv on the fly or directly to persist.

Aspose.OMR for C++ adds optical mark recognition (OMR) functionality to your applications. With it, you can design, render and recognize all types of hand-filled forms: answer sheets, examination papers, surveys, questionnaires, ballots, applications, and many more. No specialized equipment, consumables and third-party software required. Use your office copier or even a smartphone camera instead of an expensive OMR scanner. Respondents can fill out your forms with a pen, pencil or marker and use any type of marks - artificial intelligence and advanced accuracy calibration ensure reliable results. You can even recognize rotated and skewed images. Aspose.OMR for C++ can recognize any file you get from a scanner or camera: JPEG, PNG, TIFF, GIF, and BMP. Recognition results are returned in the most popular data storage formats (JSON and CSV) that can be imported into any popular database, CRM or analysis system. Aspose.OMR for C++ supports QR codes and barcodes recognition. Aspose.OMR for C++ offers a flexible markup language for designing OMR forms of any layout and complexity; you can even add QR codes, barcodes and images without using third-party libraries. All popular paper sizes as well as a number of non-standard ones are supported. Forms are saved in multiple file formats, intelligently selected based on the provided extension: JPEG, PNG, TIFF, GIF, and BMP. Changelog: - The library now works correctly in debug mode. - Resolved licensing module errors. - Improved JSON serialization/deserialization. - Minor improvements and fixes. Resources: Online documentation: https://docs.aspose.com/omr/cpp/ Free support forum: https://forum.aspose.com/c/omr/

A .NET Client for the https://sqlizer.io API. SQLizer lets you easily and securely convert Excel, JSON, CSV and other files into SQL databases with table definitions and multiple INSERT statements. We're free for non-commercial use on files with under 5000 rows of data and our paid plans enable you to use our powerful API to build data pipelines that handle billions of rows a day.

https://www.mauriciojunior.net The library that helps you to convert any CSV file to a JSON string. You need to pass the path file and all the rest the library will do for you. You are going to receive the big string in JSON format. Code example: var main = new Main(); var result = ((IMain)main).ConvertCsvFileToJsonObject("C:/test.csv");