Search Results for "time series analysis and forecasting" - Page 5
Sort By:
Showing 145 open source projects for "time series analysis and forecasting"
View related business solutions-
Securden Windows Privilege ManagerRemove local administrator rights on Windows servers and endpoints. Seamlessly elevate applications for standard users. Grant time-limited rights on-demand. Control application usage by remote employees through whitelisting and blacklisting.
-
Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes.Assess how your company's digital footprint can be leveraged by cybercriminals. Identify the most at-risk individuals using thousands of public data points and take steps to proactively defend them.
-
1
DynamicRoots
Software for the Reconstruction and Analysis of Growing Plant Roots
This is a software platform for reconstructing and analyzing the growth of a plant root system from a time-series of 3D shapes. It aligns the shapes with each other, constructs a geometric graph representation together with the function that records the time of growth, and organizes the branches into a hierarchy that reflects the order of creation. The software includes the automatic computation of structural and dynamic traits for each root in the system enabling the quantification of... -
2
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. The code uses a mix of python and... -
3
TIDES
Taylor series Integrator for Differential Equations
Taylor series Integrator for Differential EquationS. This software is developed by Profs. A. Abad, R. Barrio, F. Blesa and M. Rodriguez, (GME, University of Zaragoza, Spain). It consists on a C (Fortran) library, libTIDES, and a Mathematica package, MathTIDES. (MathTIDES requires Mathematica version >= 7.0) . Basic references: * A. Abad, R. Barrio, F. Blesa, M. Rodriguez, 2012. Algorithm 924: TIDES, a Taylor series Integrator for Differential EquationS, ACM TOMS. 39, no. 1, art. 5.... -
4
Deem
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional... -
Infor M3 ERPEfficiently executing the complex processes of enterprise manufacturers and distributors. Infor M3 is a cloud-based, manufacturing and distribution ERP system that leverages the latest technologies to provide an exceptional user experience and powerful analytics in a multicompany, multicountry, and multisite platform. Infor M3 and related CloudSuite™ industry solutions include industry-leading functionality for the chemical, distribution, equipment, fashion, food and beverage, and industrial manufacturing industries. Staying ahead of the competition means staying agile. Our new capabilities bring improved data-driven insights and streamlined workflows to help you make informed decisions and take quick action.
-
5
Erda
Workflow automation of Thomas networks
This script is supplementary to the article "Time series dependent analysis of unparametrized Thomas networks" and performs the workflow steps described in section 7. -
6
phenotemp
phenological trends using NOAA AVHRR time series
Starting from GIMMS values as ascii data (each line will be treated as individual time series), the application can smooth the ts - values by applying different algorithm that are based on Fouriertransformation. Separation of seasonal figure as well as the detection of linear trends is possible. Possible breaks in longterm mean can be detected with a change-point analysis using CuSum algorithms. Phenological events such as start-of-season, day-of-max/day-of-min, end-of-season can be determined via threshold-based algorithms or via analysis of max. increase of NDVI during green-up. ... -
7
ExData Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
...The data requires careful handling due to its size of more than 2 million rows and coded missing values. By processing the date and time fields into proper formats, it becomes possible to generate clear time-series plots of energy usage. The repository demonstrates effective exploratory data analysis practices in R with a reproducible workflow for transforming raw data into visual insights. -
8
vbTPM
Variational Bayes for tethered particle motion
vbTPM is an analysis package aimed at analyzing time series from a single molecule technique called tethered particle motion, which are common for in vitro investigations of protein-nucleic acid interactions. vbTPM uses a variational approach to hidden Markov models, and resembles recent methods for single molecule FRET (http://vbfret.sourcefore.net/) and single particle tracking (http://vbspt.sourceforge.net/) data. 2014-08-12: NAR manuscript in print! ... -
9
QuantComponents
Free Java components for Quantitative Finance and Algorithmic Trading
An open-source framework for financial time-series analysis and algorithmic trading, based on Java and OSGi, with an Eclipse front-end. * Highly modular: usable as plain java API, OSGi components, or integrated into Eclipse * Standalone or client-server architecture, depending on performance and reliability needs * Integrated with Interactive Brokers through IB Java API * Generic broker API, it can easily be extended to work with other brokers * It works with historical and/or realtime market data * Backtesting facility * Extensible SWT charting library -
ERP Software To Simplify Your ManufacturingGlobal Shop Solutions AI-integrated ERP software provides the applications needed to deliver a quality part on time, every time from quote to cash and everything in between, including shop management, scheduling, inventory, accounting, quality control, CRM and 25 more.
-
10
Bugs
SW for HTP analysis of 3D trajectories of microorganisms
Fortran and shell-level programs originally designed for the analysis of quasi-helical trajectories of Toxoplasma gondii through Matrigel media, acquired by 3D microscopy and digitized by Imaris tracking sw, as published in [TBA]. Key sw components include a singular-value-decomposition (SVD) approach to fitting a modified Fourier series to noisy 3D coordinates measured at irregular time intervals (incorporating cross-validation for determining optimum Fourier order); correction for distortions arising from media shift, shrinkage/expansion; analytically-derived instantaneous velocity, curvature and twist/torsion parameters calculated at regularly-sampled spatial intervals along the Fourier-smoothed trajectory; facilities for direct visualization and analysis of the raw and Fourier-fit trajectories, and their derived parameters, via interface with molecular graphics software (eg, PyMol.) -
11
BioDare
BioDare is Biological Data Repository focused on timeseries data
BioDare (Biological Data Repository) was developed under the multi-site ROBuST project (http://hallidaylab.bio.ed.ac.uk/ROBuST.html) to support data exchange inside the project. It is a web application which allows data-sharing (including public dissemination), data-processing and analysis, with the main focus on time-series data produced in circadian experiments. The main features of BioDare are: - an online repository for experimental data accompanied by extensive metadata - generation of secondary data (normalized, detrended, averaged …) - graphical output of data, secondary data and rhythm analysis - simple text-based search throughout metadata - biology- and conditions-aware search for data - data aggregation and export - group-based privacy settings for collaborative research -
12
MEGPath
Tool for dose dependant time series microarray analysis
-
13
GeneNetWeaver (GNW) is an open-source tool for in silico benchmark generation and performance profiling of network inference methods. GNW was used to generate the community-wide DREAM3, DREAM4 and DREAM5 In Silico Challenges.
-
14
TSDF
Time-Series Degradation Data Format for Semiconductor Reliability Data
TSDF is data format for reliability degradation data, specifically degradation data from semiconductor devices. It aims to take a potentially large amount of reliability data and put it into a small number of files that are human readable. TSDF does this by separating metadata from raw data. With this separation, it is easy for a user to view or search through a set of TSDF files to get information needed to put the data in context (process, lot and wafer info, device types, failure... -
15
EPANET-RTX
The EPANET Real Time Extension
** This project has moved to GitHub. ** ** https://github.com/OpenWaterAnalytics/epanet-rtx ** -
16
...Currently covers linear regression (with ordinary, generalized and weighted least squares), robust linear regression, and generalized linear model, discrete models, time series analysis and other statistical methods.
-
17
A MATLAB package for wavelet analysis of circadian rhythms with both discrete (Daubechies) and continuous (Morlet) wavelets, as well as tools for batch processing of multiple time series, all accessible through a graphical user interface.
-
18
MAPT (Mapping and Analysis of Pathways through Time) is a tool for mining information from annotated KEGG pathways which have been colored using PAICE. MAPT is a user-friendly tool for both time-series and single-timepoint dataset analysis, with features such as clustering, visualization and annotation-upload.
-
19
Forecast Production Assistant
Met object database and interactive graphical editor
Meteorologists use the FPA to create a series of weather charts, known as depictions, that show weather fields over a sequence of times. The weather fields can contain grid point data or sets of areas, lines or scattered points. The weather depictions are not just graphical displays, but windows into an object database. By connecting processes to the database, forecast offices can automatically generate forecast products or run local models, while spending more of their time on weather analysis, diagnosis and prognosis. -
20
A C++ class library specifically designed for data reduction tasks in driving simulation or on-board vehicle data collection.
-
21
Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values.
-
22
OpenForecast is a package of general purpose, forecasting models written in Java that can be applied to any data series. No knowledge of forecasting is required. Using this package, the most appropriate algorithm for your data will be selected.
-
23
A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.
-
24
ptsa (pronounced pizza) stands for Python Time Series Analysis. A python module specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), but applicable to almost any type of time series.
-
25
Windows application for data mining with self-organizing neural networks. It works with text data files and has convenient user interface. Is solves data mining tasks of class Recognition, continuous value Prediction, and time series Forecast.
