Search Results for "data analysis" - Page 36

Showing 2195 open source projects for "data analysis"

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  • 1
    Helpdezk

    Helpdezk

    HelpDEZk is a powerfull software that manages requests/incidents.

    HelpDEZk is a powerfull software that manages requests/incidents. It has all the needed requirements to an efficient workflow management of all processes involved in service execution. This control is done for internal demands and also for outsourced services. HelpDEZk can be used at any company’s area, serving as an support to the shared service center concept, beyond the ability to log all the processes and maintain the request’s history, it can pass it through many approval...
    Downloads: 2 This Week
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  • 2
    Datadog Agent

    Datadog Agent

    Datadog Agent Version 5

    Datadog Agent is an open-source agent for collecting metrics, logs, and traces from servers, applications, and services, sending data to Datadog for analysis.
    Downloads: 0 This Week
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  • 3
    dsam
    The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.
    Downloads: 1 This Week
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  • 4
    D0rganizer

    D0rganizer

    Program to manage data and information

    Store collected information and data properly using D0rgnizer (The organizer). Create cases, folders, files, and insert images. Compare information between files, and export data to share with your team. Useful for data collection in investigations, ethical hacking, and more.
    Downloads: 0 This Week
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  • 5
    Zipline

    Zipline

    Zipline, a Pythonic algorithmic trading library

    Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python...
    Downloads: 0 This Week
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  • 6
    Eiten

    Eiten

    Statistical and Algorithmic Investing Strategies for Everyone

    Eiten is an open-source Python project focused on providing statistical and algorithmic trading strategies powered by data analysis and machine learning techniques. It is designed to make quantitative investing more accessible by offering ready-to-use strategies that analyze market behavior, detect patterns, and generate actionable insights. The project includes tools for evaluating stock performance, identifying trends, and applying algorithmic models to financial data, enabling users to experiment with different investment approaches. ...
    Downloads: 0 This Week
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  • 7
    surpriver

    surpriver

    Find big moving stocks before they move using machine learning

    surpriver is a machine learning project designed to identify unusual stock market activity that may precede large price movements. The system analyzes historical stock price and volume data to detect anomalies that could indicate potential trading opportunities. By applying machine learning techniques to market indicators, the tool attempts to identify patterns in trading behavior that deviate significantly from normal market activity. These anomalies are interpreted as signals that a stock...
    Downloads: 0 This Week
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  • 8
    OzGIS free open-source  mapping system

    OzGIS free open-source mapping system

    Analysis and display of Census, business, government attribute data

    OzGIS is an extensive mapping system for the analysis and display of geographically referenced data. Map data are downloaded from Census bureaux and map agencies or extracted from your own databases. The system can be used to to support management decisions associated with, for example, government planning, marketing, sales, site and personnel location, advertising and research.
    Downloads: 2 This Week
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  • 9
    AICtools

    AICtools

    Workflow and set of tools for Automated Imagery Classification

    AICtools is a GIS workflow and set of tools to facilitate Automated Imagery Classification (AIC) and analysis of surface features over time. Allows bulk processing of large data sets, including automated metadata processing/filtering, compressed archive extraction and file manipulation, raster band compositing, pre-processing, mosaicking, clipping. Automates a subset of operations involved in classification of satellite imagery and the associated raster calculations used for time trend analysis.
    Downloads: 0 This Week
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  • 10
    Makani

    Makani

    Makani was developed a commercial-scale airborne wind turbine

    Makani was an ambitious Google X project that sought to harness wind energy using airborne wind turbines — autonomous kites capable of generating power while flying in crosswind patterns. This open-source repository contains the complete software stack that powered Makani’s research and flight systems, including the flight simulator, autopilot controller, avionics firmware, visualization tools, and ground control software. The software enables simulation, control, and analysis of the Makani...
    Downloads: 0 This Week
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  • 11
    Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
    Downloads: 2 This Week
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  • 12
    BlockSci

    BlockSci

    A high-performance tool for blockchain science and exploration

    The Bitcoin blockchain, currently 280 GB and growing, contains a massive amount of data that can give us insights into the Bitcoin ecosystem, including how users, businesses, and miners operate. BlockSci enables fast and expressive analysis of Bitcoin’s and many other blockchains. Current tools for blockchain analysis depend on general-purpose databases that provide "ACID" guarantees. But that’s unnecessary for blockchain analysis where the data structures are append-only. ...
    Downloads: 1 This Week
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  • 13
    Limada
    Limada (Linked Marked Data) is a framework for managing relationships of data in non-hierarchical structures, where the individual elements are interconnected in complex ways. The philosophy behind: Information is connection, is relationship of data.
    Downloads: 0 This Week
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  • 14

    QuiclickRNAseq

    An integrated pipeline for RNA-seq analysis

    Quiclick is a python framework for RNA-seq data analysis, including data trimming, mapping, counting and RNA editing analysis.
    Downloads: 0 This Week
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  • 15
    R Markdown Cookbook

    R Markdown Cookbook

    R Markdown Cookbook

    R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown. R Markdown is a powerful tool for combining analysis and reporting into the same document. Since the birth of the rmarkdown package (Allaire, Xie, Dervieux, McPherson, et al. 2023) in early 2014, R Markdown has grown substantially from a package that supports a few output formats, to an extensive and diverse ecosystem that supports the creation of books, blogs, scientific articles, websites, and even resumes.
    Downloads: 0 This Week
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  • 16
    Hiper

    Hiper

    A statistical analysis tool for performance testing

    Hiper is an open-source command-line tool designed for statistical analysis of web performance and page load behavior during performance testing. The tool repeatedly loads a specified webpage multiple times and gathers detailed timing metrics in order to produce more reliable performance measurements than single-run benchmarks. By averaging data across multiple page loads, Hiper helps developers understand whether performance optimizations actually improve real-world page loading behavior. ...
    Downloads: 0 This Week
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  • 17
    Gizmo Microservice Toolkit

    Gizmo Microservice Toolkit

    A Microservice Toolkit from The New York Times

    At The New York Times, our development teams have been adopting the Go programming language over the last three years to build better back-end services. In the past I’ve written about using Go for Elastic MapReduce streaming. I’ve also talked about using Go at GothamGo for news analysis and to improve our email and alert systems at the Golang NYC Meetup. We use Go for a wide variety of tasks, but the most common use throughout the company is for building JSON APIs. When we first began...
    Downloads: 0 This Week
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  • 18
    palmerpenguins

    palmerpenguins

    A great intro dataset for data exploration & visualization

    palmerpenguins is an R package offering real-world ecological data from the Palmer Archipelago penguin species—Adélie, Chinstrap, and Gentoo. Designed as a more engaging alternative to the classical iris dataset, it provides size measurements, clutch information, and blood isotope data for teaching, visualization, and analytics practice.
    Downloads: 0 This Week
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  • 19
    Quantitative-Notebooks

    Quantitative-Notebooks

    Educational notebooks on quantitative finance, algorithmic trading

    Quantitative-Notebooks is a curated set of Jupyter notebooks focused on quantitative finance, algorithmic investing, and data-driven portfolio analysis. While each individual notebook is aimed at practical finance workflows, the overall repository helps practitioners and learners use Python, pandas, and numerical libraries to build, test, and evaluate financial strategies using historical market data. The notebooks typically showcase how to perform backtesting, factor analysis, risk assessment, and other quantitative workflows in a reproducible, exploratory format. ...
    Downloads: 0 This Week
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  • 20
    LIFETIMES

    LIFETIMES

    Lifetime value in Python

    LIFETIMES is a Python library for customer lifetime value and repeat purchase behavior modeling. It helps analysts estimate how frequently customers may return, how long they may remain active, and how much value they may generate over time. The library is built around probabilistic models commonly used in customer analytics, including transaction frequency and monetary value modeling. It is useful for ecommerce, subscription-adjacent businesses, retail analytics, and retention analysis. The...
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  • 21
    StellarGraph

    StellarGraph

    Machine Learning on Graphs

    ...The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. It can solve many machine learning tasks. Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can contain people as nodes and friendships between them as links, with data like a person’s age and the date a friendship was established. ...
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  • 22
    PyCBC

    PyCBC

    Learn how to use PyCBC to analyze gravitational-wave data

    PyCBC is a software developed by a collaboration of LIGO, Virgo, and independent scientists. It is open source and freely available. We use PyCBC in the detection of gravitational waves from binary mergers such as GW150914. These examples explore how to analyze gravitational wave data, how we find potential signals and learn about them. Many of these tutorials will require you to make edits to config files as part of their exercises. At the moment this isn't easy to do on services like...
    Downloads: 0 This Week
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  • 23

    COHCAP

    City of Hope CpG Island Analysis Pipeline

    COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub. 2) In addition to the original NAR paper, please see the following links: Benchmarks: http://www.nature.com/protocolexchange/protocols/2965#/introduction Protocol Exchange Files: http://sourceforge.net/projects/cohcap/files/Protocol_Exchange_Example.zip 3) Custom Annotation Files (including EPIC Array): https://sourceforge.net/projects/cohcap/files/additional_Bioconductor_annotations.zip/download
    Downloads: 0 This Week
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  • 24
    LINARP - Linarp Is Not A Rietveld Program; Software for the analysis of crystallographic data
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  • 25
    gsasnp2

    gsasnp2

    PubMed ID: 29562348 / DOI: 10.1093/nar/gky175

    * GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data using GSA-SNP2", Nucleic Acids Research, Vol. 46(10), e60(2018)...
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