Open Source Python Data Management Systems - Page 21
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Python Data Management Systems
View 4298 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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nb-clean
Clean Jupyter notebooks of outputs, metadata, and empty cells
nb-clean cleans Jupyter notebooks of cell execution counts, metadata, outputs, and (optionally) empty cells, preparing them for committing to version control. It provides both a Git filter and pre-commit hook to automatically clean notebooks before they're staged, and can also be used with other version control systems, as a command line tool, and as a Python library. It can determine if a notebook is clean or not, which can be used as a check in your continuous integration pipelines. nb-clean can also be used as a pre-commit hook. You may prefer this to the Git filter if your project already uses the pre-commit framework. Note that the Git filter and pre-commit hook work differently, with different effects on your working directory. The pre-commit hook operates on the notebook on disk, cleaning the copy in your working directory. The Git filter cleans notebooks as they are added to the index, leaving the copy in your working directory dirty. -
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nonechucks
Deal with bad samples in your dataset dynamically
nonechucks is a library that provides wrappers for PyTorch's datasets, samplers and transforms to allow for dropping unwanted or invalid samples dynamically. What if you have a dataset of 1000s of images, out of which a few dozen images are unreadable because the image files are corrupted? Or what if your dataset is a folder full of scanned PDFs that you have to OCRize, and then run a language detector on the resulting text, because you want only the ones that are in English? Or maybe you have an AlternateIndexSampler, and you want to be able to move to dataset[6] after dataset[4] fails while attempting to load! PyTorch's data processing module expects you to rid your dataset of any unwanted or invalid samples before you feed them into its pipeline, and provides no easy way to define a "fallback policy" in case such samples are encountered during dataset iteration. -
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odd-collector
Open-source metadata collector based on ODD Specification
ODD Collector is a lightweight service that gathers metadata from all your data sources. Push-client is a provider which sends information directly to the central repository of the Platform. ODDRN (Open Data Discovery Resource Name) is a unique resource name that identifies entities such as data sources, data entities, dataset fields etc. It is used to build lineage and update metadata. -
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odd-collector-gcp
Open-source GCP metadata collector based on ODD Specification
ODD Collector GCP is a lightweight service which gathers metadata from all your Google Cloud Platform data sources. -
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This toolbox generates automatically a vtk-visualization for an ode (Open Dynamics Engine) simulation under Python. You only have to define the simulation space and world and forward these entities to the visualization. That's all... Install also via pip possible: pip install odeViz
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openSim is a software platform for the creation, simulation and visualization of system dynamics models.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Real-time data visualization. Graphically view your data as it's being generated. Peakster is a very intuitive GUI written entirely in Python, which monitors data at regular intervals and uses gnuplot to render 2D, 3D and superimposed plots.
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pflexible
A python tool for data analysis of FLEXPART transport modeling.
This software is being created to work with FLEXPART and other atmospheric transport model ouput. FLEXPART is a Lagrangian particle dispersion model written by Andreas Stohl. It is in active development at NILU and by Sabine Eckhardt, John Burkhart and numerous other research groups worldwide. For more information on FLEXPART visit the homepage Contact A maillist has been set up for users at sourceforge. Please direct inquiries via the pflexible_maillist Direct inquiries may be sent to:: John F Burkhart, University of Oslo [john.burkhart](mailto://john.burkhart@geo.uio.no) Get the Code: BitBucket Clone the bitbucket repository: %hg clone https://bitbucket.org/jfburkhart/pflexible pflexible -
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Portable Plot is a pure ansi/iso c++ plot library that makes the construction of native plot widgets easy.
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pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.
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pyEBSD-GUI
A free software to post-process EBSD data.
pyEBSD-GUI is a free software to post-process Electron Backscatter Diffraction (EBSD) data, inducing IPF mapping, image quality mapping, phase mapping etc, plotting pole figure, data segmentation, statistic analysis of the misorientation distribution etc. The software is written by python, and it supports both script and graphic user interface (GUI). pyEBSD V1.0 will be released soon. -
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pyLastFM graph is commandline tool for creating a nice looking graph time graph from Last.fm profile data. It uses the audioscrobbler.net XML interface and can create very high resolution output images.
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pyFormex is a program for generating, transforming and manipulating large geometrical models of 3D structures by sequences of mathematical operations.
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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, ..
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pySPACE
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. For obtaining a zip file of the current state use: https://github.com/pyspace/pyspace/archive/master.zip -
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pyVib is a Python-based molecular graphics visualizer. It allows visualizing vibrational modes (from latest gaussian fchk files), the related IR/VCD/Raman/ROA spectra, the GCM's (group coupling matrices) and ACP's (atomic contribution patterns).
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pycoQC
pycoQC computes metrics and generates Interactive QC plots
PycoQC computes metrics and generates interactive QC plots for Oxford Nanopore technologies sequencing data. PycoQC relies on the sequencing_summary.txt file generated by Albacore and Guppy, but if needed it can also generate a summary file from basecalled fast5 files. The package supports 1D and 1D2 runs generated with Minion, Gridion and Promethion devices and basecalled with Albacore 1.2.1+ or Guppy 2.1.3+. PycoQC is written in pure Python3. Python 2 is not supported. -
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pydatascope
Software oscilloscope using Python and tkinter
Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. -
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pydna
Clone with Python! Data structures for double stranded DNA
Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning. Planning genetic constructs with many parts and assembly steps, such as recombinant metabolic pathways, are often difficult to properly document as is evident from the poor state of documentation in the scientific literature. The pydna python package provide a human-readable formal description of cloning and genetic assembly strategies in Python which allow for simulation and verification. Pydna can be used as executable documentation for cloning. -
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pygolem
Python API for the GOLEM Tokamak discharge database
This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting. -
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