Open Source Linux CSV Software - Page 2

A CSV mass editor for advanced users, written in PHP. Its purpose is not to edit the data, but to mass manipulate it: re-arrange, join and delete columns, join rows, search and replace using regexes and a bit more.

Map CSV records to Java Objects and back again (a la hibernate).

Convert/manipulate csv files, Java / GUI Swing; GPL3. Uses Ostermiller Utils (CSV Java, http://ostermiller.org/utils/CSV.html) Alows to define rules for the conversion (copy or replace the contents). Useful eg. for serial mail.

A Node.js library that converts CSV files into JSON format efficiently, supporting large files and advanced parsing.

CSVChecker is a python utility designed to check CSV file for field length and format. Configuration is made on a field basis through YAML configuration file.

A simple CSV parser. Very easy to use.

Easy to use ready to go CSV File Reading utility. Read One or Multiple files into a RecordManager, quick access to the file with segmentation into Fields and Records. Merge Multiple CSV files in one. Listener to CSV Files.

This tool is a small tool to upload a csv file to a database. This tool can analyse a CSV file and it can determine the field lenght and the column name.

"Database to CSV" allows to back-up data from database(Oracle, MySQL, SQL Server) in the form of CSV files. Each table data is stored in a separate CSV file. It also allows to load data from CSV files into the database. Program can be run from UI or from command line. There's one more advanced feature which allows merging of data from CSV file to Database. It is only available from command line. (It will take foreign keys and unique keys into consideration and then try to insert data with minimum change as possible). Note: 1) If tables do not exist, this program will not automatically create table while loading data from CSV.

Elevations moves data from Excel to Unix systems. It connects VBA with Cygwin SSH, CGI and HTTP POST to deliver to a QuantLib C++ server through pipes. Provides C++ classes to process CSV files and the strings to C++ types. File schema definitions.

A high-performance Node.js library for parsing and formatting CSV data efficiently.

Java library for reading and writing of flat files. CSV, FLR (fixed length record) or mixed structures. Tree-style processing API. Adapters for SAX, Stax and XStream for transformation, data binding or serialization.

Library for parsing of csv files. The project's focus is the flexibility to parser the csv files based at SAX and DOM methods on XML.

JFling provides tools for (un)marshalling fixed length string data to and from java objects with typed properties. It's codegenerator uses plain csv files to generate fixed-length-string wrapper classes. (see our wiki 'Hosted Apps/Trac' for more info)

To switch historical data quotes, from a format to a other one. For example to move historical data quotes from MetaTrader4 to NinjaTrader. Or to move historical data quotes from NinjaTrader to MetaTrader4 .

A CSV editor written in Java 1.6 Developed using NetBeans IDE 6.0.1

This script takes the Western Australian linked health data provided by the Data Linkage Unit and converts it to a TAB delimited format that is easier to import into SPSS or Excel etc. Mileage may vary.

The London Datastore (http://data.london.gov.uk) was created by the Greater London Authority (GLA) as an innovation towards freeing London’s data. This SourceForge Project will be used to Open Source our development efforts surrounding data formats

Omni is a Java package for reading and writing a variety of data file formats. Currently, Omni supports formats such as CSV, tab-delimited, pipe-delimited, and fixed-width files. There are future plans for more formats.

A script written in pure PHP that can easily generate dynamic surveys based off of included template CSV (comma separated value) files. Setting up the script is as simple as editing the template file and transferring the directory to a server.

The world's first multi-threaded CSV parser for the browser. Use Papa when performance, privacy, and correctness matter to you. Papa alleviates privacy concerns related to uploading files. Malformed CSV is handled gracefully with a detailed error report. Now the fastest JavaScript CSV parser for the browser. Papa can handle files gigabytes in size without crashing. CSV to JSON and JSON to CSV. Auto-detect delimiter, open local files, download remote files, stream local and remote files, multi-threaded, header row support, type conversion, skip commented lines, fast mode, graceful error handling, and optional sprinkle of jQuery. Specify a step callback to receive the results row-by-row. This way, you won't load the whole file into memory and crash the browser. If you tell Papa there is a header row, each row will be organized by field name instead of index. If you want numbers and booleans, you can enable dynamic typing to do the conversion for you.

Row-Bean is a CSV-Bean JAVA API . Row-Bean provides CSV reader an writer. More ever provides a mechanism to map csv file content to java beans and revers. For each use, a XML description must describe the wished mapping. Another possibility consists in use Annotations. Use under maven : <!-- row bean with annotations --> <dependencies> <dependency> <groupId>net.sf.csv-bean</groupId> <artifactId>row-bean-annotations</artifactId> <version>1.1.0</version> </dependency> </dependencies> <!-- row bean without annotations --> <dependencies> <dependency> <groupId>net.sf.csv-bean</groupId> <artifactId>row-bean-core</artifactId> <version>1.1.0</version> </dependency> </dependencies>

SQLiteDBinfo - expend SQLite database Info SQLite2csv - SQLite-Database to CSV converter

Super CSV is a fast, programmer-friendly, open-source library for reading and writing CSV files with Java. PLEASE NOTE: As of January 2015 we have now moved to GitHub (https://github.com/super-csv/super-csv). This SourceForge page will remain, but with limited functionality (please go to GitHub to report issues and for project downloads). It is highly configurable, and supports reading and writing with POJOs, Maps and Lists. It also has support for deep-mapping and index-based mapping with POJOs, using the powerful Dozer extension. Its flexible 'Cell Processor' API automates data type conversions (parsing and formatting Dates, Integers, Booleans etc) and enforces constraints (mandatory columns, matching against regular expressions etc) - and it's easy to write your own if required. Super CSV is actively maintained, and the developers are ready and willing to help out if you get stuck :) Please check out the project website for examples and help getting started