Validation of CSV file against user defined schema (returns back object with data and invalid messages)
Additional JSON-Schema keywords for Ajv JSON validator
Another JSON Schema Validator
Validate identifier/keywords name
Validate plugin/preset options
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
fast-csv parsing package
CSV parser and writer
fast-csv formatting module
Convenient parsing for Fetch.
CSV parsing implementing the Node.js `stream.Transform` API
Convert objects/arrays into a CSV string or write them into a CSV file
CSV stringifier implementing the Node.js `stream.Transform` API
Decorator-based property validation for classes.
csv parser with validator
String validation and sanitization
Another JSON Schema Validator
A mature CSV toolset with simple api, full of options and tested against large datasets.
CSV and object generation implementing the Node.js `stream.Readable` API
Allure CSV report
Express middleware for the validator module.
Ajv class for JSON Schema draft-04
Build CSV files on the fly basing on Array/literal object of data
Validate the content of well-formed CSV files on server and client side
A simple class to generate CSV strings (or files) given a JSON object or valid JSON string.
Takes the Instruction Input as Rule, parse the CSV files and applies the validation and returns valid and invalid units
Santize large csv files and help in predicting datatypes including min max values for easy import to SQL
A Ruby library for CSV file processing featuring comparison, transformation, sorting, and validation. Includes CLI tools for debugging malformed CSVs, auto-detection of encodings and separators, and efficient handling of large files.
CKAN CLI with built-in CSV file validation and CKAN API integration.
RStore makes batch processing of csv files a breeze. Automatically fetches data files, directories, URLs :: Customizable using additional options :: Validation of field values :: Descriptive error messages :: Safe and transparent data storage using database transactions
Simple yet powerful library for importing tabular data from CSV, HTML, XLS and XLSX files, including support for auto-detecting column order, parsing/validating cell data, aggregating errors, etc.
Build CSV files from record collections using a declarative DSL with column definitions, custom transforms, filtering, sorting, pagination via limit/offset, computed footer rows, row numbers, streaming output, custom delimiters and line separators, TSV/PSV shorthands, row validation, header transforms, total rows, append-to-file support, and custom empty-value placeholders.
This validator is intended to be run on csv files that are updated and received on a regular basis. It allows you to specify required headers the following data restrictions: columns that must be unique, columns that must be restricted to certain values, or columns that can't allow nil values. This gem checks that the newly received file is consistent with the specified 'csv schema'. This frees you form having to manually check that the new file has not changed and reduces the possibility that an unnoticed change will cause any subsequent analyses to be incorrect.
CsvWizard provides a simple framework to import CSV files into Rails models. It supports required fields, default values, row-level validation, and hooks for pre- and post-processing.
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