Open Source Python Data Formats Software for Linux

The Virtual USB Analyzer is a graphical tool for browsing traces of captured USB data. It supports logs generated by Ellisys hardware analyzers and VMware's software analyzer, and Linux's usbmon.

Up-to-date remote data access for pandas. Works for multiple versions of pandas. Install using pip and then import and use one of the data readers. This example reads 5-years of 10-year constant maturity yields on U.S. government bonds. Stable documentation is available on github.io. A second copy of the stable documentation is hosted on read the docs for more details.

Configurize is a configuration management application for Linux-based systems.

A set of tools (command line and GUI) to provide a complete digital photo workflow for Unixes. EXIF headers are used as the central information repository, so users may change their software at any time without loosing any data.

Leaser is the codename for an experimental XML document server written in Python.

Meresco is both an OAI Data Provider and a Service Provider. SourceForge is only used to host the source control (subversion). Sources: http://sources.meresco.org/ Binaries: http://repository.cq2.org/ Mail: http://groups.google.com/group/meresco

Raspberry pi adafruit capacitive touch tft ada fruit case for pi ldr +capacitor for background light level dfc77 receiver for time python code based on wiringpi2, pygame

PyDar is a binding for Disk ARchive (http://dar.linux.free.fr/) in python using Boost.Python (http://www.boost.org).

A python program that implements the SMPP protocol and can connect to a Short Message Service Center (SMS-C) or other SMPP compliant software over a network. Generally used for sending and receiving of SMS.

Efficent WEB UI for wget utility written in python(twisted) . It's work without any web server. Script consists of a SINGLE file

sabnzbd-xmlgui is an Ajax based frontend built around sabnzbdplus. It also provides an xml based API for other applications to easily connect with sabnzbd while at the same time maintaining the existing web based ajax gui.

YAML (tm) is a straight-forward data serilization language, offering an alternative to XML where markup (named lists and mixed content) are not needed. YAML borrows ideas from rfc822, SAX, C, HTML, Perl, and Python.

UPDATE: The project was moved to github (https://github.com/schober-ch/calc2booktab). The soruceforge page won't get any bugfixes, please use the github repo if you want to try this macro. -------------------------------------------------------------------------- A Python extension for OpenOffice/LibreOffice to convert selected cells to LaTeX-Code. Its similar to Calc2Latex, but typographic formatting is more advanced (numeric columns, dcolumn-package, booktab-package) Script is tested and working with... ... Ubuntu 12.04 64 bit / LibreOffice 3 ... Windows 7 64 bit / LibreOffice 3* ... Arch Linux 64 bit / LibreOffice 4.2 *Encoding problems with special characters (non-unicode) on Windows reported.

This project offers 3 basic tools for manipulating binary files: 1) flexible hexdump 2) hexencoder that reads a binary file and applies provided binary changes at given offsets and 3) a binary compare that gives summary of ranges where files differ

The 'jsondata' package provides for the modular in-memory processing of JSON data by trees, branches, pointers, and patches. The main interface classes are: - JSONData - Core for RFC7159 based data structures. Provides modular data components. - JSONDataSerializer - Core for RFC7159 based data persistence. Provides modular data serialization. - JSONPointer - RFC6901 for addressing by pointer paths. Provides pointer arithmetics. - JSON Relative Pointer - draft-handrews-relative-json-pointer/2018, contained in JSONPointer. - JSONPatch - RFC6902 for modification by patch lists. Provides the assembly of modular patch entries and the serialization of resulting patch lists. - JSONDiff - Diff utility for JSON data. - JSONSearch - Search utility JSON patterns. Online documents: https://jsondata.sourceforge.io/

Search a data block for magic MIME identifiers and try to recover the found data using file type specific header information. Currently recovers audio and video files best, but also recognizes PDFs and other file types. New recipes for even more filetypes as well as contributors are welcome ! Logo: Derivative work of http://commons.wikimedia.org/wiki/File:Pied_Avocet_chick.jpg (CC-BY-SA)

Note: The project has moved to https://github.com/pyhys/minimalmodbus The files available here are very old, download from Github instead. MinimalModbus is an easy-to-use Python module for talking to instruments (slaves) from a computer (master) using the Modbus protocol, and is intended to be running on the master. Example code includes drivers for Eurotherm and Omega process controllers. The only dependence is the pySerial module (also pure Python). This software supports the ‘Modbus RTU’ and ‘Modbus ASCII’ serial communication versions of the protocol, and is intended for use on Linux, OS X and Windows platforms. It is open source, and has the Apache License, Version 2.0.

Tool to use from Python interactive interpreter or script. Use it to make JSON indexes of all files in a directory, or files of a certain type. Could be used to observe activity in a server directory, to generate JSON to send to clients searching remotely, or to keep an index of files in a directory when the user of that directory does not have permission to probe the files system for files without knowing their names. Uses a configuration file, or optionally you can pass configuration information as keyword arguments. Also see recursive example.

A tool for autonomous and virtual topical data integration using the focused web-harvesting method.

Simple pygtk application for create and verify md5, crc32 and other checksum

pyspider is a powerful Spider(Web Crawler) system in Python. Components are connected by message queue. Every component, including message queue, is running in their own process/thread, and replaceable. That means, when process is slow, you can have many instances of processor and make full use of multiple CPUs, or deploy to multiple machines. This architecture makes pyspider really fast. benchmarking. Since pyspider has various components, you can just run pyspider to start a standalone and third service free instance. Or using MySQL or MongoDB and RabbitMQ to deploy a distributed crawl cluster. To deploy pyspider in product environment, running component in each process and store data in database service is more reliable and flexible. To deploy pyspider components in each single processes, you need at least one database service. pyspider now supports MySQL, MongoDB and PostgreSQL. You can choose one of them.

Python script for doing mass extended-regular-expression based replacements on a stdin stream.

XSDB XML is to DATA as HTML is to DOCUMENT. Publish and combine data as easily as HTML format and web browsers publish and view documents. Implementations in Python, javascript, java, C#/.NET.