Search Results for "python curses module" - Page 2
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Showing 101 open source projects for "python curses module"
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Taking the Paper Out of WorkThe Square 9 AI-powered intelligent document processing platform takes the paper out of work and makes it easier to get things done with digital workflows.
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SIEM | API Security | Log Management SoftwareBuilt on the Graylog Platform, Graylog Security is the industry’s best-of-breed threat detection, investigation, and response (TDIR) solution. It simplifies analysts’ day-to-day cybersecurity activities with an unmatched workflow and user experience while simultaneously providing short- and long-term budget flexibility in the form of low total cost of ownership (TCO) that CISOs covet. With Graylog Security, security analysts can:
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Leave A Trace Tools
Tools for reading the track data of the project "Leave a Trace"
...It is installed as a permanent exhibition within the Charité in Berlin, Germany. Please find more Details about LAT here: https://leave-a-trace.charite.de/action This sourceforge project provides python tools to read the raw XML data produced by LAT. The data reading module works with python2 and python3. LAT XML Data can be downloaded here: https://leave-a-trace.charite.de/action/xml_dateien_der_traces/ ## Visualization tool: This project also contains a GUI-based visualization tool, which allows creation of custom vector data (SVG) from the given LAT data. ... -
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BioC
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are... -
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PyWham
Python implementation of the Weighted Histogram Analysis Method (WHAM)
Latest version is 1.2, released Mar 12, 2016 PyWham is a flexible and fully customizable implementation of the Weighted Histogram Analysis Method (WHAM) in Python 2. PyWham has been carefully designed with flexibility in mind. Some of its features are: (1) any number of reaction coordinates, (2) any form of potential, (3) compatibility with Python syntax and Python math module and (4) support for user-defined functions. Knowledge of Python is not required. -
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Python Control Systems Library
Feedback control system analysis and design
The Python Control Systems Library, python-control, is a python module that implements basic operations for analysis and design of feedback control systems. This homepage for this project is at http://python-control.org and the code base in maintained at https://github.com/python-control/python-control. Information on this page is out of date, but left here for posterity. -
Network Discovery Software | JDisc DiscoveryJDisc Discovery is a comprehensive network inventory and IT asset management solution designed to help organizations gain clear, up-to-date visibility into their IT environment. It automatically scans and maps devices across the network, including servers, workstations, virtual machines, and network hardware, to create a detailed inventory of all connected assets. This includes critical information such as hardware configurations, software installations, patch levels, and relationshipots between devices.
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PyRadmon Reborn
PyRadmon, a Python script to use on both Linux and Windows.
PyRadmon Reborn. This project started after the original programmers quit supporting it. The project now contains support for audio*, has a version that supports two Geiger counters** and a cleaner, more stable code. * = PyAudio is used as library for the audio support. ** = The two counters both run in their own thread. UPDATE-2015-2: * Added timeouts to sockets to prevent crashing of the script. * Updated some comments. UPDATE-2015-1: Since there have been some passed time... -
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Based on the Qt Python binding module PyQt4, guidata is a Python library generating graphical user interfaces for easy dataset editing and display. It also provides helpers and application development tools for PyQt4.
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This project provides a Fortran90 library and a python module for singular spectrum analyses such as PCA/EOF or MSSA. It is intended for people interested, for example, in analysing climate or financial variability.
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wmtsa-python
Discrete wavelet methods for time series analysis using python
Several python libraries implement discrete wavelet transforms. However, none of them, or at least none that I know, is aimed at scientific use. This library aims at filling this gap, in particular considering discrete wavelet transform as described by Percival and Walden. This module started as translation of the wmtsa Matlab toolbox (http://www.atmos.washington.edu/~wmtsa/), so most naming conventions and most of the code structure follows their choices. -
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GGI stands for "General Graphics Interface", and it is a project that aims to develop a reliable, stable and fast graphics system that works everywhere. We want to allow any program using GGI to run on any platform requiring at most a recompile.
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Parasoft: Automated Testing to Deliver Superior Quality SoftwareParasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting the embedded, enterprise, and IoT markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft’s award-winning reporting and analytics dashboard provides a centralized view of quality, enabling organizations to deliver with confidence and succeed in today’s most strategic ecosystems and development initiatives—security, safety-critical, Agile, DevOps, and continuous testing.
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wfProc is going to be a Python module for waveform processing. The module will incude simple operations such as addition, subtraction etc, taking into account the timeline of the waveform, as well as filtering, fft and other more complex operations.
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PyGAO
Genetic Algorithm Optimization for Python
...Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. In addition to the standard Python libraries, PyGAO uses numpy. -
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pyespeak
Python to eSpeak speech synthesis
ctypes Python module for eSpeak http://espeak.sf.net speech synthesis -
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statspy
Python module for statistics built on top of NumPy/SciPy
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slumo
Software and Library for USB2AD device
SLUMO is a software and library for USB2AD module. Project has two parts. The first is stand alone measurement software with GUI using GTK3+ and python 3. The second is a library that handle all comunication with device, so you can create your own scripts for custom measuring in a very easy way. -
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AMBIENT
Find active modules in metabolic networks using high-throughput data
...If you wish to use the version used in the paper it is v0.6.3, however I recommend using the latest version which works in the same way but with additional options and has stability and performance improvements. Thanks for your interest! AMBIENT (Active Modules for Bipartite Networks) is a Python module that uses simulated annealing to find areas of a metabolic network (modules) that have some consistent characteristic. AMBIENT does not require predefined pathways and gives highly specific predictions of affected areas of metabolism. For example, scores for reactions based on transcriptional data of their annotated encoding genes can be used in the network and modules of coordinated expression changes can be found. ... -
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A module containing python wrappers for the SUite of Non-linear DIfferential/ALgebraic Solvers (SUNDIALS), using ctypes.
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Electrophysiology & circular stats tools
Data analysis and circular statistics with OpenElectrophy and R
Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. -
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Redundancy due to cut-paste operations in text creates bias in machine learning for NLP. This module takes a directory and produces a subset of the files in that directory (in a list) with an upper bound on similarity between two files.
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YEI 3-Space Python API
A Python API for interfacing with the YEI 3-Space family.of IMUs.
The YEI 3-Space Sensor Application Programming Interface (API) is a series of functions, classes, and structure definitions designed to make writing applications that utilize the YEI 3-Space family of sensors fast and easy to support. The included module and support files handles message formatting, serialization of commands, conversion of return data to friendly data types, and 3-Space unit management. -
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PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
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mlpy
Machine Learning Python
...mlpy is available both for Python >=2.6 and Python 3.X. -
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Famms is a Python module for applying the method of manufactured solutions (MMS) to PDE simulators written in C/C++, Fortran, and Python.
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rmachine is a register machine simulator (the complexity theory version), programmed in python, complete with a module to be used in your programs and a (PyQt4) GUI.
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PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
