Specify the key columns and value columns, csv-compare will give you different between two csv files.
CSV parser and writer
fast-csv formatting module
CSV parsing implementing the Node.js `stream.Transform` API
fast-csv parsing package
CSV stringifier implementing the Node.js `stream.Transform` API
Fastest deep equal comparison for React. Great for React.memo & shouldComponentUpdate. Also really fast general-purpose deep comparison.
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
Compare strings containing a mix of letters and numbers in the way a human being would in sort order.
A mature CSV toolset with simple api, full of options and tested against large datasets.
Compare semver version strings to find greater, equal or lesser.
CSV and object generation implementing the Node.js `stream.Readable` API
A JSON to CSV and CSV to JSON converter that natively supports sub-documents and auto-generates the CSV heading.
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
Get a compare function for array to sort
Compare alphanumeric strings the same way a human would, using a natural order algorithm
Compare strings containing a mix of letters and numbers in the way a human being would in sort order.
Convenient parsing for Fetch.
TypeScript definitions for react-csv
Compare two objects using accessed properties with Proxy
Node JS directory compare
Object transformations implementing the Node.js `stream.Transform` API
Convert objects/arrays into a CSV string or write them into a CSV file
It's react's useEffect hook, except using deep comparison on the inputs, not reference equality
A gem that helps you to compare two csv files
compare to youtube csv files
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.
Ruby Cloud SDK wraps Aspose.Cells REST API so you could seamlessly integrate Microsoft Excel® spreadsheet generation, manipulation, conversion & inspection features into your own applications. Aspose.Cells Cloud for Ruby enables you to handle various aspects of Excel files, including cell data, styles, formulas, charts, pivot tables, data validation, comments, drawing objects, images, hyperlinks, and so on. Additionally, it supports operations such as splitting, merging, repairing, and converting to other compatible file formats.
Removes invalid UTF8 characters & extra whitespace (carriage returns, new lines, tabs, spaces, etc.) from csv or strings. Also provides detailed report indicating row numbers containing non-UTF8 and extra whitespace, and before and after to compare changes. Example: ABC Au\xC1tos,123 E Main St,Anytown,TX,75142,(888) 555-1234\n\r\n => ABC Autos,123 E Main St,Anytown,TX,75142,(888) 555-1234
This library generates diff reports of CSV files, using the diff capabilities of the CSV Diff gem. 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. CSV-Diff Report takes the diff information calculated by CSV-Diff, and uses it to produce Excel, HTML, or text diff reports. It also provides a command-line tool (csvdiff) for generating these diff reports from CSV files. The csvdiff command-line tool supports both file and directory diffs. As directories may contain files of different formats, .csvdiff files can be used to match file names to file types, and specify the appropriate diff settings for each file type.
Detect regressions by comparing API responses, CSV exports, and more between environments
LLM Bench is a Ruby gem that allows you to benchmark and compare the performance of different Large Language Model providers and APIs. It supports both OpenAI and Anthropic-compatible API formats, provides parallel execution, and includes continuous tracking capabilities with CSV export.
Geoptima is a suite of applications for measuring and locating mobile/cellular subscriber experience on GPS enabled smartphones. It is produced by AmanziTel AB in Helsingborg, Sweden, and supports many phone manufacturers, with free downloads from the various app stores, markets or marketplaces. This Ruby library is capable of reading the JSON format files produced by these phones and reformating them as CSV, GPX and PNG for further analysis in Excel. This is a simple and independent way of analysing the data, when compared to the full-featured analysis applications and servers available from AmanziTel. If you want to analyse a limited amount of data in excel, or with Ruby, then this GEM might be for you. If you want to analyse large amounts of data, from many subscribers, or over long periods of time then rather consider the NetView and Customer IQ applications from AmanziTel at www.amanzitel.com. Current features available in the library and the show_geoptima command: * Import one or many JSON files * Organize data by device id (IMEI) into datasets * Split by event type * Time ordering and time correlation (associate data from one event to another): ** Add GPS locations to other events (time window and interpolation algorithms) ** Add signal strenth, battery level, etc. to other events * Export event tables to CSV format for further processing in excel * Make and export GPS traces in GPX and PNG format for simple map reports The amount of data possible to process is limited by memory, since all data is imported in ruby data structures for procssing. If you need to process larger amounts of data, you will need a database-driven approach, like that provided by AmanziTel's NetView and Customer IQ solutions. This Ruby gem is actually used by parts of the data pre-processing chain of 'Customer IQ', but it not used by the main database and statistics engine that generates the reports.
Diff and patch tables
Diff and patch tables
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