Detect if a chunk of a string is a csv
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
CSV parser and writer
Charset Detector - Detect the encoding and language of text files - Use it in the browser, with Node.js, or via CLI
fast-csv formatting module
CSV parsing implementing the Node.js `stream.Transform` API
Improved typeof detection for node.js and the browser.
fast-csv parsing package
Detect the dominant newline character of a string
CSV stringifier implementing the Node.js `stream.Transform` API
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
A mature CSV toolset with simple api, full of options and tested against large datasets.
Detect Node.JS (as opposite to browser environment). ESM modification
Node.js module to detect the C standard library (libc) implementation family and version
CSV and object generation implementing the Node.js `stream.Readable` API
Node.js implementation of port detector
Detects if a file exists and returns the resolved filepath.
A JSON to CSV and CSV to JSON converter that natively supports sub-documents and auto-generates the CSV heading.
The fastest in-browser CSV (or delimited text) parser for React. It is full of useful features such as CSVReader, CSVDownloader, readString, jsonToCSV, readRemoteFile, ... etc.
Unpack a browser type and version from the useragent string
Classify GPU's based on their benchmark score in order to provide an adaptive experience.
detect available port
Detect the indentation of code
Convenient parsing for Fetch.
CSV Sniffer is a set of functions that allow a user detect the delimiter character in use, whether the values in the CSV file are quote enclosed, whether the file contains a header, and more. The library is intended to detect information to be used as configuration inputs for CSV parsers.
Detect separators in CSV content
Ruby gem to detect formatting issues in a CSV. Can find quoting issues, incorrect column counts, and can properly handle quote-escaped line endings.
Detect probable gender and split first/last name tokens using static CSV datasets.
A wrapper for Ruby's standard CSV class that auto-detects column separator and file encoding.
Detects input data(JSON,XML,CSV,Hash,Activerecord) and transforms it in a format chosen by the user (JSON,XML,Hash,CSV,Excel,YAML)
Streaming CSV processor with row-by-row transforms, validations, column plucking, streaming each_hash iteration, filtering, writing, error recovery, and automatic delimiter detection.
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.
JapaneseAddressParser is a Ruby gem that parses Japanese address. To detect the address, it uses geolonia/japanese-addresses (https://github.com/geolonia/japanese-addresses) CSV data.
A wrapper for Ruby's standard CSV class that auto-detects column separator and file encoding.
This library performs diffs of CSV data, or any table-like source. Unlike a standard diff that compares line by line, and is sensitive to the ordering of records, CSV-Diff identifies common lines by key field(s), and then compares the contents of the fields in each line. Data may be supplied in the form of CSV files, or as an array of arrays. The diff process provides a fine level of control over what to diff, and can optionally ignore certain types of changes (e.g. changes in position). CSV-Diff is particularly well suited to data in parent-child format. Parent- child data does not lend itself well to standard text diffs, as small changes in the organisation of the tree at an upper level can lead to big movements in the position of descendant records. By instead matching records by key, CSV-Diff avoids this issue, while still being able to detect changes in sibling order. This gem implements the core diff algorithm, and handles the loading and diffing of CSV files (or Arrays of Arrays). It also supports converting data in XML format into tabular form, so that it can then be processed like any other CSV or table-like source. It returns a CSVDiff object containing the details of differences in object form. This is useful for projects that need diff capability, but want to handle the reporting or actioning of differences themselves. For a pre-built diff reporting capability, see the csv-diff-report gem, which provides a command-line tool for generating diff reports in HTML, Excel, or text formats.
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.