Top 20 NuGet Packages depending on ExcelDataReader
Total dependencies: 84
Package Description
Package Description
This is the Excel connector for ETLBox. ETLBox is a lightweight ETL (extract, transform, load) library and data integration toolbox for .NET.
Lightweight .NET library which enables mapping POCO objects to Excel rows, with ability to apply C# LINQ expressions. It uses ExcelDataReader for reading Excel files.
Provides components for working with data tables in Acuit Pinpoint, including importing from CSV and Microsoft Excel files.
Excel reader/writer for LINQtoCSV
+ CacheProvider (Redis Cache, Memory Cache)
+ Cryptography
+ ConvertType
+ File Manager
+ Vietnamese currency reader
+ Excel Reader, Excel Export
+ Csv Reader
+ Xml Export
+ Email Services
+ Sql Data Helper
+ more...
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.
A simple excel-to-json document converter (using legacy .NET Framework)
SSCMS .NET Core abstractions for developers.
A simple excel-to-json document converter
ExcelDataReader + extra
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 a...
A library for Excel export/import. Builds on top of EPPlus, ExcelDataReader and AutoMapper, adding POCO mapping. The development goal is loose coupling between data mapping, formatting and data itself, code brevity and type safety.
Core upgraded to 3.1
A web toolkit consisting of helpers, extensions, builders and containers to aid server-side Web Development.
A bidirectional converter, JSON to XLSX, XLSX to JSON.
Excel Tools Implementation
Make any plain, boring data file into an awesome, queryable table...