Open Source Python CSV Software for Mac

csv2odf can create business intelligence reports from csv data sources with output to ods, odt, html, xlsx, or docx documents. It uses a template file that you design to control the layout, fonts, and colors. Just query your database with output to csv (or tsv), then use csv2odf to insert the data into your template to produce a nice looking formatted output. It is a command line tool and you can automate the generation of reports by using scripts and cron. It can be used to create spreadsheets and documents for LibreOffice, OpenOffice, Microsoft Office Excel and Word. It is open source GPL v3 and crossplatform, it can run on most operating systems that can run Python (Python is required). More details, example files, and online manual at http://csv2odf.sf.net.

Bots is a complete translator for edi (Electronic Data Interchange). EDI data formats eg: edifact, x12, tradacoms, xml. Mail: http://groups.google.com/group/botsmail Web-site: http://bots.sourceforge.net Wiki: http://bots.readthedocs.io Develop: https://github.com/eppye-bots/bots

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.

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

CollectD-CSV is a small project providing utilities for analyzing CollectD CSV data locally. CollectD_CSV module provides functions for fetching data with a specified time interval and regular expressions matching the end of the path without the datestamp. The fetched data can be saved into files or returned as a list. fetchCSV.py script can be used to fetch the data matching the given parameters and save to files in a specified directory. monitorCSV.py script calculates the minimum, average and maximum values of specified resources on one host from the last XX minutes.

Welcome to the project page for pyDaSSQLiteMan (Python Data and SQLite Manager). This application is a Python Tkinter application designed to enable easy SQLite database file manipulation, and an easy method to run SQL styled queries on CSV files. If you're not downloading the pre-compiled executable you will need Python to run this app. You can download it from http://www.python.org/ . I'd recommend something after version 3. Testing has been Windows based. SQLite is a free database format released into the public domain. See http://www.sqlite.org/ Please check out the Wiki Home page https://sourceforge.net/p/pycsvdb/wiki/Home/ and the General Help page (https://sourceforge.net/p/pycsvdb/wiki/General%20Help/) to find extra information and help. Please check out the Wiki Home page for an introduction.

XML is a standard to move data around easily and CSV format is the easiest to display huge chunk of data. xml2csv offers, light weight and easy conversion of XML data to CSV formated data.