Search Results for "python data analysis" - Page 21
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Showing 989 open source projects for "python data analysis"
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All-in-One Inspection SoftwareOptimize Frontline Operations: Elevate Equipment Uptime, Operational Excellence, and Safety with Connected Teams and Data, Including Issue Capture and Corrective Action.
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Dynamic Work and Complex Project Management Platform | QuickbaseOur no-code platform lets you easily create, connect, and customize enterprise applications that fix visibility and workflow gaps without replacing a single system.
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GS junior Webserver
GS junior Webserver
GS junior Webserver is a web based file server to easily access sequencing data of -
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A small web application able to generate dynamic charts from data collected by our personal weather station ( like WH-1080 and others ).
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BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
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Mix
Mix is a tool to combine multiple assemblies from NGS data.
Mix is a tool that combines two or more draft assemblies, without relying on a reference genome and has the goal to reduce contig fragmentation and thus speed-up genome finishing. The proposed algorithm builds an extension graph where vertices represent extremities of contigs and edges represent existing alignments between these extremities. These alignment edges are used for contig extension. The resulting output assembly corresponds to a path in the extension graph that maximizes the... -
Track time for payroll, billing and productivityBecause time is money, and we understand how challenging it can be to keep track of employee hours. The constant reminder to log timesheets so your business can increase billables, run an accurate payroll and remove the guesswork from project estimates – we get it.
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syphon is an extension for mod_openopc, to monitor telnet devices (serial devices) that sit on Serial -to- Ethernet bridges (such as barcode scanners) and export parsed data to an OPC compliant device (such as a PLC).
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GEPETTO - Gene Prioritization in Java
GEPETTO (GEne Prioritization ExTended TOol)
...GEPETTO is written in Java/Python and supported by an advanced modular architecture, which means that it can easily be modified and extended by the user, in order to include alternative scoring methods and new data sources. We intend to extend the system from gene-level to variant-level prioritization, by exploiting the variant data in the MSV3D database. Contact: bmhoan@gmail.com or walter.vincent.fr@gmail.com -
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GIIAF Microscopy Library
The GIIAF Microscopy Library, that uses customised OMERO software
This project incorporates a suite of tools that aim to allow researchers within Griffith's Imaging and Image Analysis Facility (GIIAF) to efficiently and effectively provide secure, centralised, web-accessible data storage, management and manipulation. The open-source Java-based OMERO software was customised to provide most of the features of this project. -
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Provide a reference implementation of Moving Taylor Bayesian Regression, a method for nonparametric multi-dimensional function estimation with correlated errors from finite samples, as a Python package based on SciPy
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pyisocalc
Isotopic pattern calculator in python 2.x
This is an isotopic pattern calculator written in python. It depends on re, sys, numpy, operator, itertools, and matplotlib. -
Zendesk: The Complete Customer Service SolutionEquip your agents with powerful AI tools and workflows that boost efficiency and elevate customer experiences across every channel.
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A C++ library for the computation of bifurcation diagrams: it provides tools for the integration of systems of ODEs that depend on parameters. A Python interface is included.
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Cross platform (python 2.5) tool for exporting data via SMTP (email) to an Endress-Hauser Fieldgate DM3 Server. This tool may be used with any MySQL database historian, even though it was originally an extension for mod_openopc.
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ox_black_rhino
black_rhino is a multi-agent simulator for financial network analysis
This is the outdated code of black_rhino. The new version is maintained and hosted on github. Please see https://github.com/cogeorg/black_rhino -
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PolyBoRi is implemented as a C++ library for Polynomials over Boolean Rings, which provides high-level data types for Boolean polynomials. A python-interface yields extensible algorithms for computing Groebner bases over Boolean Rings.
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SpiKeDeteKt
An automatic spike detection program to be used with new KlustaKwik
This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 ( -
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GUI for DEDA
GUI for DEmography Data Analysis
<This project has been completely rewrote and transformed into a new one: https://sourceforge.net/projects/deday/. 2013/06/26> The graphic user interface for DEDA (DEmography Data Analysis), a scientific software package fitting survivalship data to a number of distributions using maximum likelihood (ML) method. Currently, Weibull (2p), Gompertz and Gompertz-Makeham are supported. IMPORTANT NOTICE: Only the GUI is provided here. In order to perform the analysis, one also need the DEDA computation core program. ... -
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C++ Airline Travel Solution Provider
C++ Airline Travel Solution Provider
The name has changed: that project has become the Airline Travel Solution Provider, AirTSP for short. -
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CSST
Cascade and Sharing Survival Trees, an ensemble for survival analysis
Cascading and Sharing Survival Trees (CSST) is a tree-based enseble that allows to efficiently analize survival data. It is a strightforward extension of the CS4 method for lifetime collections of data. The CSST software comes along with its companion the CSST Prediction tool, to use the ensemble prediction in everyday life. Please, refer to the user's manual for further information. -
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ROOTlib
C++ lib, that provides access to multiple ROOT routines (root.cern.ch)
This C++ lib is used and created to provide easy methods based on ROOT (a CERN data analysis framework). It was developed for use in practical courses but is not limited to. In addition it is ported step by step into Python. -
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A web-based interface for the Hadoop MapReduce framework that simplifies the process of writing and running MapReduce jobs. Aimed at introducing parallelism concepts in introductory computer science courses.
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Plotmeister is a data exploration tool. It parses your ASCII data and generates a simple (text-based) table format. You can modify this table and eventually create nice looking figures.
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ResistPy
Geophysical Modelling with R2/R3
ResistPy is a Python program designed to work with R2 & R3t for processing, modelling & visualization of electrical resistivity data. ResistPy reads a variety of raw data formats and helps the user prepare the data for modelling with R2 or R3. -
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GUANO
GUANO - Graphical User interface for performing ANalysis Of variance
...Features: - Capable of high order factorial designs (> 2 factors) - Within and mixed analyses of variance provide corrections for violations of sphericity (Huynh-Feldt, Greenhouse-Geisser, Box) - A variety of data transformations can be applied (log10, reciprocal, arcsine, square-root, and Windsor) - Generalized eta-squared measures of effect size - Post-hoc power analysis (should match G*Power) - Outputs include tables of estimated marginal means - Up to 4-way interaction plots with errorbars (png, svg) - Confidence intervals account for within-subject variability (where applicable; Loftus and Masson, 1994) - Non-proprietary HTML output files - Non-proprietary codebase Gotchas: - Assumes balanced designs -
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Arachne
Exploration of a Hierarchical+Functional Approach To Data Organization
This is dedicated to development of a small class for organizing data in both a traditional parent<->child hierarchy and by the functions used to generate child data nodes from parent data. The core of the project is in the class definitions contained within arachne.py, a demonstration of how this method of arranging data can be used to solve a relatively interesting problem may be found in test.py
