Displaying 1 to 20 from 164 results

csv - CSV data manipulation made easy in PHP

Csv is a simple library to ease CSV parsing, writing and filtering in PHP. The goal of the library is to be powerful while remaining lightweight, by utilizing PHP native classes whenever possible.Full documentation can be found at csv.thephpleague.com.

ISO-3166-Countries-with-Regional-Codes - ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets

These lists are the result of merging data from two sources, the Wikipedia ISO 3166-1 article for alpha and numeric country codes, and the UN Statistics site for countries' regional, and sub-regional codes. In addition to countries, it includes dependent territories. The International Organization for Standardization (ISO) site provides partial data (capitalised and sometimes stripped of non-latin ornamentation), but sells the complete data set as a Microsoft Access 2003 database. Other sites give you the numeric and character codes, but there appeared to be no sites that included the associated UN-maintained regional codes in their data sets. I scraped data from the above two websites that is all publicly available already to produce some ready-to-use complete data sets that will hopefully save someone some time who had similar needs.

string.js - Extra JavaScript string methods.

string.js, or simply S is a lightweight (< 5 kb minified and gzipped) JavaScript library for the browser or for Node.js that provides extra String methods. Originally, it modified the String prototype. But I quickly learned that in JavaScript, this is considered poor practice.Personally, I prefer the cleanliness of the way code looks when it appears to be native methods. i.e. when you modify native JavaScript prototypes. However, if any app dependency required string.js, then the app's string prototype would be modified in every module. This could be troublesome. So I settled on creating a wrapper a la jQuery style. For those of you prototype hatin' fools, there is the method extendPrototype().

tabula - Tabula is a tool for liberating data tables trapped inside PDF files

Repo Note: The master branch is an in development version of Tabula. This may be substantially different from the latest releases of Tabula.As of August 2015, the master branch (and Tabula 1.1.X+) uses tabula-java instead of tabula-extractor under the hood. Previous versions of Tabula use tabula-extractor.

spout - Read and write spreadsheet files (CSV, XLSX and ODS), in a fast and scalable way

Spout is a PHP library to read and write spreadsheet files (CSV, XLSX and ODS), in a fast and scalable way. Contrary to other file readers or writers, it is capable of processing very large files while keeping the memory usage really low (less than 3MB).Full documentation can be found at http://opensource.box.com/spout/.

MapShaper - Tools for editing Shapefile, GeoJSON, TopoJSON and CSV files

Mapshaper is software for editing Shapefile, GeoJSON, TopoJSON, CSV and several other data formats, written in JavaScript. The mapshaper command line program supports essential map making tasks like simplifying shapes, editing attribute data, clipping, erasing, dissolving, filtering and more.

excellentexport - Javascript export to Excel

A quick JavaScript library to create export to Excel/CSV from HTML tables in the browser. No server required. As part of the new version 3.0.0+, there is support for XLSX. The drawback is that the library is 600+ KB.

textract - node

A text extraction node module. In almost all cases above, what textract cares about is the mime type. So .html and .htm, both possessing the same mime type, will be extracted. Other extensions that share mime types with those above should also extract successfully. For example, application/vnd.ms-excel is the mime type for .xls, but also for 5 other file types.

AdaptiveTableLayout - Library that makes it possible to read, edit and write CSV files

Pay your attention to our new library that makes it possible to read, edit and write CSV files. If you use Android-based device, you can easily use our library for implementation of all aforementioned actions. In addition, you will be able to change rows and columns, display the picture via link, and align the required data. It will surely help you cope with your tasks faster and make your output higher. AdaptiveTableLayout library is at your disposal. The main goal of the library is to apply all its functions in the process of working with CSV files. Moreover, it will give you a competitive edge over others.

q - q - Run SQL directly on CSV or TSV files

q is a command line tool that allows direct execution of SQL-like queries on CSVs/TSVs (and any other tabular text files). q treats ordinary files as database tables, and supports all SQL constructs, such as WHERE, GROUP BY, JOINs etc. It supports automatic column name and column type detection, and provides full support for multiple encodings.

FSharp.Data - F# Data: Library for Data Access

The F# Data library (FSharp.Data.dll) implements everything you need to access data in your F# applications and scripts. It implements F# type providers for working with structured file formats (CSV, HTML, JSON and XML) and for accessing the WorldBank data. It also includes helpers for parsing CSV, HTML and JSON files and for sending HTTP requests.We're open to contributions from anyone. If you want to help out but don't know where to start, you can take one of the Up-For-Grabs issues, or help to improve the documentation.

ng-csv - Simple directive that turns arrays and objects into downloadable CSV files

Add ng-csv.min.js to your main file (index.html). please also make sure you're adding angular-sanitize.min.js.ng-csv: The data array - Could be an expression, a value or a promise.

django-rest-pandas - 📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i

Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats) for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data.

univocity-parsers - uniVocity-parsers is a suite of extremely fast and reliable parsers for Java

uniVocity's open source parsers for processing different text formats using a consistent API

csv-parser - Streaming csv parser inspired by binary-csv that aims to be faster than everyone else

csv-parser can convert CSV into JSON at at rate of around 90,000 rows per second (perf varies with data, try bench.js with your data).The data emitted is a normalized JSON object. Each header is used as the property name of the object.