Search Results for "python data analysis" - Page 2
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Showing 34 open source projects for "python data analysis"
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PeerGFS PEER Software - File Sharing and CollaborationPeerGFS is a software-only solution developed to solve file management/file replication challenges in multi-site, multi-platform, and hybrid multi-cloud environments.
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ShareCRM is an AI-powered enterprise CRM platform designed to connect data and teams across the entire customer lifecycle.ShareCRM is an AI-powered, customizable and affordable enterprise CRM solution to seamlessly integrate and empower every aspect of your business.
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PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.
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A pure python canvas for drawing 2D primitives which outputs its data as SVG or VML but can be easily extended to output more formats.
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A mouse tracker for OS X. The tool should provide a simple way to log the user's mouse movements in the background for (later) analysis. Currently only for Mac OS X (ObjC & Cocoa), planned to make platform independent with Python. It consists out of two
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wxBrowser is an application browser based on the wxWidgets GUI framework. It's similar to a regular old web browser only, instead of reading HTML and displaying content it reads XML and executes presentation logic (wxPython) in a client side application.
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Accounting practice management softwareCanopy is a cloud-based practice management software for accounting and tax firms, offering tools for client engagement, document management, workflow automation, and time & billing. Its Client Engagement platform centralizes interactions with a secure portal, customizable branding, and email integration, while the Document Management system enables organized, paperless file storage. The Workflow module enhances visibility into tasks and projects through templates, task assignments, and automation, reducing human error. Additionally, the Time & Billing feature tracks billable hours, generates invoices, and processes payments, ensuring accurate financial management. With its comprehensive features, Canopy streamlines operations, reduces stress, and enhances client experiences.
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Clint
Clint is a library for Qt projects to create charts, trees, etc.
Clint can display data containing in a QAbstractItemModel as charts, trees or timelines. A chart can be linear ( data are displayed as curves, bars or points), radial ( data are displayed like a bar chart but in circle) or a piechart (2D or 3D). A tree displays data from a model like QTreeItemModel in a classic tree (horizontal or vertical) or radial (in circle). A timeline displays data from a model like a QListItemModel following a path. -
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pyGuide
Guide is a UI layout and data-binding system.
Guide is a Python library for UI layout and data-binding which is cross-platform and supports multiple UI libraries. It allows users to quickly iterate on design and functionality of UIs using an xml markup-language. -
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The PyQt4D (Python Qt for Designer) is an Open Source Project making Qt Designer full-featured RAD (Rapid Application Development) tool to develop data-aware two- or multi-tier applications using Python language and Qt library.
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GenEpiO
The Genomic Epidemiology Ontology covers food-borne disease terms
Here we introduce a Genomic Epidemiology Ontology (GenEpiO) that covers vocabulary necessary to identify, document and research food-borne pathogens and associated outbreaks. We envision various subdomains including genomic laboratory testing, specimen and isolate metadata, and epidemiological case investigations. The project files are currently hosted at https://github.com/GenEpiO/genepio/ . Here we provide the genepio-consortium@lists.sourceforge.net listserve. Terms for these subdomains... -
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hemcuveGUI
hemcuveGUI is a graphical interface for HEMCUVE++
hemcuveGUI is a graphical interface for HEMCUVE++ (see http://tsc.unex.es/~llandesa/page17/page17.html). More specifically, hemcuveGUI lets you · to collect all the data required by HEMCUVE++, · to manage a materials database, · to call the external executable HEMCUVE++ and · to visualize its results. -
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