Open Source Python Data Management Systems

Browse free open source Python Data Management Systems and projects below. Use the toggles on the left to filter open source Python Data Management Systems by OS, license, language, programming language, and project status.

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  • 1
    QUAST

    QUAST

    Quality Assessment Tool for Genome Assemblies

    QUAST performs fast and convenient quality evaluation and comparison of genome assemblies. It is maintained by the Gurevich lab at HIPS (https://helmholtz-hips.de/en/hmsb). For the most up-to-date description, please visit http://quast.sf.net. Below are just some highlights. QUAST computes several well-known metrics, including contig accuracy, the number of genes discovered, N50, and others, as well as introducing new ones, like NA50 (see details in the paper and manual). A comprehensive analysis results in summary tables (in plain text, tab-separated, and LaTeX formats) and colorful plots. The tool also produces web-based reports condensing all information in one easy-to-navigate file. QUAST and its three follow-up papers (MetaQUAST, Icarus, QUAST-LG) papers were published in Bioinformatics; the last paper (WebQUAST) is out in Nucl Acid Research.
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    Downloads: 25 This Week
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  • 2
    istSOS

    istSOS

    Free and Open Source Sensor Observation Service Data Management System

    istSOS is an OGC SOS server implementation written in Python. istSOS allows for managing and dispatch observations from monitoring sensors according to the Sensor Observation Service standard. The project provides also a Graphical user Interface that allows for easing the daily operations and a RESTful Web api for automatizing administration procedures. istSOS is released under the GPL License, and runs on all major platforms (Windows, Linux, Mac OS X), even though tests were conducted under a Linux environment.
    Downloads: 1 This Week
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  • 3

    CollectD-CSV Plotter

    Web interface for visualizing CSV data from CollectD monitoring system

    CollectD-CSV Plotter is a web interface for fetching and visualizing data that is saved in CollectD CSV format. An HTML form is used for defining the time interval and choosing the wanted measurements. The plotter is actually a front-end for collectd-csv module (http://pypi.python.org/pypi/collectd-csv/), which it uses for fetching the data. Technologies CollectD-CSV Plotter uses include CGI/Python, HTML5/JavaScript, jQuery, jQuery-UI and Gnuplot.
    Downloads: 0 This Week
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  • 4
    DataSync Suite
    DataSync Suite is an open source platform for integrating tools like Zimbra, SugarCRM, and Drupal. The tool is focused on a single sign-on, application data integration, and fast, flexible deployment.
    Downloads: 0 This Week
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  • 5
    Pathomx

    Pathomx

    Workflow-based data analysis built on IPython

    Pathomx is a workflow-based tool for the analysis and visualisation of experimental data. Initially created as a tool for metabolomic data analysis is has been extended and can now be used for any scientific and non-scientific data analysis.
    Downloads: 0 This Week
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  • 6
    PathwayPointer is a software that can draw omics data on to metabolic pathway map.
    Downloads: 0 This Week
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  • 7
    Pumilio
    Pumilio is a web-based sound analysis and archive system for almost any kind of sound file with tools to see the spectrogram of the sound, select regions for further analysis and insertion in a database, filtering, and many other manipulations.
    Downloads: 0 This Week
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  • 8
    This software enables easy creation and sharing of district maps online.
    Downloads: 0 This Week
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  • 9

    WebChemViewer

    A simple program for sharing molecular structures with associated data

    Sharing lists of molecular structures with associated chemical properties is a common task in computer-aided drug design and medicinal chemistry. WebChem Viewer is a simple, free, open-source program that generates HTML-formatted output that can be viewed in any modern web browser, on any operating system (including mobile), without requiring the installation of additional software. The output can also be easily incorporated into existing web pages. WebChem Viewer is released under the FreeBSD license. It was created by Jacob Durrant, a post-doc in the lab of Rommie E. Amaro.
    Downloads: 0 This Week
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  • 10
    WebDX is a framework for deploying OpenDX applications over the web.
    Downloads: 0 This Week
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  • 11
    bitHull is a Simple unstructured data store-and-share mechanism. It is part experimental graph-based task/note/idea management system and part data aggregator.
    Downloads: 0 This Week
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  • 12
    pyMantis
    pyMantis is a data-management system for (systems) biology build on the web2py framework. It features: tree based file explorer, relational db table wizzard with automated creation of user interfaces, internal and external access management, wiki, ..
    Downloads: 0 This Week
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  • 13
    rocket-bi

    rocket-bi

    An open-source web-based self-service BI for analytical databases

    Rocket.BI is a free, open-source, web-based business intelligence solution specifically designed for analytical databases. It enables data analysts and business users alike to easily integrate different data sources, perform advanced data analysis, ad hoc, and more. With an easy-to-use editor, you can create personalized reports, build interactive business dashboards and generate actionable business insights. Rocket.BI also allows collaboration as working together with other people in the organization.
    Downloads: 0 This Week
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  • 14
    Our goal is to find out useful and funny ways for expanding the possibilities of many FOSS by integrating them with other FOSS and proprietary systems. You'll find here many open source plugins and extensions useful to put those FOSS hermits together.
    Downloads: 0 This Week
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  • 15

    slycat

    Web-based data science analysis and visualization platform.

    This is Slycat - a web-based data science analysis and visualization platform, created at Sandia National Laboratories. The goal of the Slycat project is to develop processes, tools and techniques to support data science, particularly analysis of large, high-dimensional data.
    Downloads: 0 This Week
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