Open Source Python Data Management Systems - Page 19
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Python Data Management Systems
View 4394 business solutionsBrowse 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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VisualRiSC
Toolbox visualizing computations of Realizable Sign Conditions.
This toolbox contains a set of Python procedures in order to compute examples associated with the computation of Realizable Sign Conditions (RiSC) due to the approach by Basu, Pollack and Roy. The RiSC approach is a way to solve and analyze systems of polynomial equations and inequalities over the real numbers in the field of real-algebraic geometry. The involved computations often consist of highly sophisticated notions, not easy to illustrate by hand. VisualRiSC provides implementations of such notions and functions using the Python package SymPy, on the one hand, and an interface to Gnuplot in order for a visualization of examples using the Python package Gnuplot.py. -
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VividSTORM
Correlated confocal and SMLM data visualization and analysis
VividSTORM is a free and open-source standalone software with graphical user interface, for the correlated visualization and analysis of superresolution single molecule localization microscopy (SMLM) molecule lists and conventional pixel intensity-based images. The localization points (LPs) within this ROI can be analyzed using the selected built-in functions. NOTE: If you encounter issues not addressed by the user guide, please contact by message on this site or via e-mail for additional support: vividstorm[at]koki.mta.hu If you find our software useful in your project, please cite: Correlated confocal and super-resolution imaging by VividSTORM Nature Protocols 11, 163–183 (2016) doi:10.1038/nprot.2016.002 -
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VizStack is a framework to run GPU-enabled applications. You may set up tiled displays, and run popular applications on them. VizStack can convert nodes into a shared remote visualization farm. Individual GPUs can be allocated to users too.
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Wally
Distributed Stream Processing
Wally is a fast-stream-processing framework. Wally makes it easy to react to data in real-time. By eliminating infrastructure complexity, going from prototype to production has never been simpler. When we set out to build Wally, we had several high-level goals in mind. Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency data processing. Be portable and deploy easily (i.e., run on-prem or any cloud). Manage in-memory state for the application. Allow applications to scale as needed, even when they are live and up-and-running. The primary API for Wally is written in Pony. Wally applications are written using this Pony API. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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To create a framework to extract Web data and store in local RDBMS, to generate assessment reports on quality of the data being extract, and to publish the quality reports on the Web.
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WebBabel is a python web application using OpenBabel to convert files from one format to another. It runs under Windows, Mac or Linux on your desktop, workstation or laptop. It uses the Jmol (or Marvin) viewer to show the structures being converted.
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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. -
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A colorized interactive dotplot program designed for pair-wise comparisons of RNA & DNA. The original idea was from the mind of late Prof. William J. Dreyer of Caltech. The idea is to be able to see the "tapestry" of life, which comes alive with color.
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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Wooey
A Django app that creates automatic web UIs for Python scripts
Wooey is a simple web interface to run command line Python scripts. Think of it as an easy way to get your scripts up on the web for routine data analysis, file processing, or anything else. The project was inspired by how simply and powerfully sandman could expose users to a database and by how Gooey turns ArgumentParser-based command-line scripts into WxWidgets GUIs. Originally two separate projects (Django-based djangui by Chris Mitchell and Flask-based Wooey by Martin Fitzpatrick) it has been merged to combine our efforts. Enable the easy wrapping of any program in simple python instead of having to use language specific to existing tools such as Galaxy. Enable fellow lab members with no command line experience to utilize python scripts. Autodocument workflows for data analysis (simple model saving). -
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Workshop resource manager
Easy and fast tool for managing home workshop resources
Storekeeper is small tool that helps you to keep an eye on your resources in home lab or workshop. It can be used in several places and, thanks to it's single-file and synchronize option, merge data between users. -
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X-SOCS
X-ray Strain Orientation Calculation Software
The X-ray Strain Orientation Calculation Software (X-SOCS) is a user-friendly software, developed for automatic analysisof 5D sets of data recorded during continuous mapping measurements. X-SOCS aims at retrieving strain and tilt maps of nanostructures, films, surfaces or even embedded structures. For more information: http://scripts.iucr.org/cgi-bin/paper?S1600576714004506 To download the latest version of XSOCS (D. Naudet, T. Vincent, M.I. Richard, G. Chahine), follow the instruction in the following link: https://gitlab.esrf.fr/kmap/xsocs You can find on youtube video tutorials explaining the main steps to follow for a standard KMAP data analysis. In the folder XSOCS_tutorials_data of the Files tab, you can download the dataset used in the tutorials. Make sure to read the readme file. -
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Zherlock has now changed name to SciCraft and no longer hosted on sourceforge. Visit our new site at http://www.scicraft.org
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc. -
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airda
airda(Air Data Agent
airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes. -
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allink
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE. Avvis) perform all the operation of Matematica on different sets of data visualized on a Qt graphical interface. DrImage) image manipulation on the Matematica filters. The program is intended to use as less as possible external libs (optional: openGL, gsl, fftw, cgal, png, tiff, boost, MPI, Qt...). -
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This software aims help students of analytic geometry courses by visualizating several key concepts.
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atpbar
Progress bars for threading and multiprocessing tasks on terminal
Progress bars for threading and multiprocessing tasks on the terminal and Jupyter Notebook. atpbar can display multiple progress bars simultaneously growing to show the progresses of iterations of loops in threading or multiprocessing tasks. atpbar can display progress bars on the terminal and Jupyter Notebook. atpbar can be used with Mantichora. atpbar started its development in 2015 as part of Alphatwirl. atpbar prevented physicists from terminating their running analysis codes, which would take many hours to complete, by showing progress bars indicating their codes were actually running. The progress bars have saved the physicists countless hours in total. atpbar had been the sub-package progress of alphatwirl until it became an independent package, with the name atpbar, in February 2019. -
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This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.
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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.
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--UPDATE-- New Version is now integrated in the official PyMOL plugin repository! --UPDATE-- The BNI (Beyond Normal Interaction)- Tools is a plug in for the PyMOL molecular visualization system which adds additional functionalities and presets to the PyMOL GUI and also adds useful extended commands.
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Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
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classic.tplx
A more accurate representation of jupyter notebooks
A more accurate representation of Jupyter notebooks when converting to pdfs. This template was designed to make converted Jupyter notebooks look (almost) identical to the actual notebook. If something doesn't exist in the original notebook then it doesn't belong in the conversion. As of nbconvert 5.5.0, the majority of these improvements have been merged into nbconvert's default template. Version 3.x of this package will continue to support nbconvert 5.5.0 and lower, whereas in the future version 4.x will only support nbconvert 5.5.0 and newer. Versions 3.x, and 4.x will overlap support for nbconvert version 5.5.0.
