Search Results for "plotting csv data" - Page 6
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Showing 162 open source projects for "plotting csv data"
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Repfabric is a customer relationship management (CRM) software designed specifically for multi-line sales teams (i.e. reps, distributors, wholesalers, dealers, and manufacturers). It streamlines and simplifies the sales process by providing deep integration with email, contacts, calendars, and deal tracking. The platform enables users to track commissions from CRM to sale, make updates directly from mobile devices, and document sales calls using voice-to-text features.
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Whether natural disaster, cyberattack, or plain-old human error, data can disappear in the blink of an eye. ConnectWise BCDR (formerly Recover) delivers reliable and secure backup and disaster recovery backed by powerful automation and a 24/7 NOC to get your clients back to work in minutes, not days.
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FortGrapher
InLine Plot with Fortran
This is a Fortran Module that merges the performance of the computation of the Fortran with the power of a Python Package called Matplotlib plot the data computed by your fortran code. It allows you to divide you data into groups of datafiles and each group is stored on its own directory. It allows you to create different types of plotting files such as, PNG file for each datafile and PDF and MPEG files for each group of datafiles. It works with FORMATTED and UNFORMATTED fortran datafiles... -
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Eve Ms Sql data importer
Interface to Eve market data and MS Sql
Provides importation support for EVE csv market data and MS SQL database, and some query supporting features. -
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pygolem
Python API for the GOLEM Tokamak discharge database
This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting. -
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ptumon2csv
Converts output from Intel's ptumon utility into CSV format
Intel's PTU utility is for stressing a system's CPU and RAM. Along with PTU, an executable named ptumon will output sensor data at a rate of once per second. This data runs together and in order to be charted needs to be parsed. This tool works with the PTU tool for the Romley platform. -
PRTG Network Monitor is an all-inclusive monitoring software solution developed by Paessler. Equipped with an easy-to-use, intuitive interface with a cutting-edge monitoring engine, PRTG Network Monitor optimizes connections and workloads as well as reduces operational costs by avoiding outages while saving time and controlling service level agreements (SLAs). The solution is packed with specialized monitoring features that include flexible alerting, cluster failover solution, distributed monitoring, in-depth reporting, maps and dashboards, and more.
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Command-line tool to calculate error propagation. Generates the error formulas and applies them to the data.
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FreeCeilo is an interface for ceilometer CL31.A shell script is used for collecting data from the ceilometer and freeceilo is used for plotting the data.Tested and developed in SPACE ,Trivandrum
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A set of Unix command line tools for quick and convenient batch processing of tabular text files (a.k.a., tab-delimited, csv, or flat file format) with a header line. Provides delimiter and compression detection, column reference by name. * tblmap: per-line ("map") computation: derive columns through an expression, delete, reorder, filter rows. * tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns. * tbldesc: Summarize columns in file (e.g...
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The csvdatamix project aims to randomize CSV input data files in order to conceal the original state of the data. Similar to data masking or data transformation. Also has mapping abilities to translate back to the original state of the data.
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This is a set of scripts that helps with processing of NMR pH titration data. These scripts allow for fitting (using R) and plotting of data of multiple residues. The program needs to be made more user friendly.
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BrightGauge, a ConnectWise solution, was started in 2011 to fill a missing need in the small-to-medium IT Services industry: a better way to manage data and provide the value of work to clients. BrightGauge Software allows you to display all of your important business metrics in one place through the use of gauges, dashboards, and client reports. Used by more than 1,800 companies worldwide, BrightGauge integrates with popular business solutions on the market, like ConnectWise, Continuum, Webroot, QuickBooks, Datto, IT Glue, Zendesk, Harvest, Smileback, and so many more. Dig deeper into your data by adding, subtracting, multiplying, and dividing one metric against another. BrightGauge automatically computes these formulas for you. Want to show your prospects how quick you are to respond to tickets? Show off your data with embeddable gauges on public sites.
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APLpy (the Astronomical Plotting Library in Python) is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. Visit http://aplpy.sourceforge.net/ for tutorials and documentation.
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bdd is a unix/linux command that handles bit streams (non byte-aligned). The name comes from binary-dd. bdd is written in Python and it tries to be extremely flexible but not very efficient.
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Gnupylot is a GUI for gnuplot (the widely used multi-OS plotting utility). It's written in Python using PyQt4 libraries. With Gnupylot you can save your plots (even the datasets). It's still in Alpha stage.
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This is a CSV (Camma Separated Values) to ARFF file format converter script written in python. Just 'Save As' your csv file as 'test.csv' and this script will convert it to 'test.arff' !
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Fitta is a program for making and plotting statistical fits, simple and weighted fit, high quality plots thanks to the matplotlib library
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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
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PyQwt = FAST and EASY data plotting for Numerical Python and PyQt. PyQwt is a Python wrapper for the Qwt C++ class library which extends the Qt framework with widgets to display and control data for scientific and engineering applications. Please note: We moved RCS, future releases, BUGS to https://github.com/PyQwt
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Interface to collect data from a Consort R305 unit via RS-232. It allows to record data from 2 units with a total of 4 channels. The graphical interface displays the value of the channels as graphs and saves them in a CSV file.
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NOTE: Copymark is no longer being developed or supported. It has some flaws that could result in inaccurate data. These flaws have been addressed in copymark2, which you can find on google code: https://code.google.com/p/copymark2/wiki/Copymark2 A simulation of real world file transfer performance. Generates files and then transfers them using the Windows Shell or Finder in OS X. Outputs performance results to .csv and has an optional plotting feature. For documentation, please see the wiki.
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Biggles is a 2D scientific plotting package for Python, geared toward the production of publication-quality plots.
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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.
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A group a subprojects for Data Cleaning projects, mainly as a step of a Data Mining Project. Visit www.datacleaningopensource.com to review our current applications or if you want to add yours. NOTE: PROGRAMMING SKILLS ARE REQUIRED.
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Python program for fitting rate constants to primarily kinetic data as 1st or 2nd order kinetics or autocatalysis. It also allows specific noise cancelling, data smoothing by fourrier transform, box averaging and flowing mean. For Python 2.6 or earlier.
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The Simple Versatile Plotting (SVP) tools create camera-ready plots of performance analysis data gathered from high performance computing (HPC) applications.
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The scikits.timeseries python module provides classes and functions for manipulating, reporting, and plotting time series of various frequencies. The focus is on convenient data access while leveraging the existing functionality in numpy.