Package: scistag
SciStagA stack of helpful libraries & applications for the rapid development of data driven solutions.(  (  )   (  )   )
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                                                 \   `.__________/)Build StatusSciStag is available on pypi:https://pypi.python.org/pypi/SciStagThe source is hosted on GitHub:https://github.com/SciStag/SciStagThe documentation is available on ReadTheDocs:https://scistag.readthedocs.io/This project is still under heavy development and in a very early stage -
feel free to experiment with the modules and examples which are already
provided.The goal ofSciStagis to bundle the strengths of the many small, awesome
Python technologies from OpenCV via Flask to Pandas and enable users to combine
these libraries and build awesome data driven solutions with a minimum amount of
code.SciStag currently consists of the following so calledstags:VisualLogAllows the dynamic creation of documentation in HTML, Markdown and text format
and the fast data evaluation through its built-in in-place reload of Python
modules so you can quickly and efficiently dive into and browse through your 
data, evaluate different parameters quickly etc.ImageStagImage analysis and modification made easy by combining the strengths of PILLOW, OpenCV and SKImage.MediaStagEasy integration of streaming media data such as videos into your solution.DataStagLow-latency inter-container and -process exchange of image and other binary data for Computer Vision and other data
  intensive microservice architectures.RemoteStagRemote and asynchronous task execution - such as a neural network inferenceWebStagHelpful tools for accessing, processing web data and the easy provision
of Python components as local microservices.FileStagTools for handling for large amount of files in a data engineering process 
such as easy scanning and handling data in an Azure Storage.SetupSciStag comes completely bundled with all required standard components.pip install scistag[full]or when using poetrypoetry add scistag[full]and
you are ready to go! :)If you do not want to install advanced components with a more light-weightedpip install scistag[common]Getting startedYou can already find several cool
demoshereon
GitHub.The most advanced and central component of SciStag is currently definitely **
VisualLog** which
lets you create log data and documentation very efficiently with a Jupyter-like
feeling but without loosing all the awesome code editing features of your
IDEs such as Visual Studio Code or PyCharm.You can find the demos forVisualLogin thevislogexamples folder.LicenseCopyright (c) 2022-present Michael Ikemann.Released under the terms of theMIT License.Third-party dataThe SciStag module on PyPi is bundled with the following data:TheRobotofont - licensed and
distributed under the terms of
theApache License, Version 2.0.TheRoboto Flexfont - licensed
under
theSIL Open Font License 1.1TheJetBrains Monofont - licensed under
theSIL Open Font License 1.1.Iconic fontby the
Material Design Icons community covered
bySIL Open Font License 1.1Emojis and country flags from
theNoto Emojiproject. Tools and
most
image resources are under
theApache License, Version 2.0.Flag images under the public domain or otherwise exempt from copyright.The emoji unicode character name mappings and details are based upon the
unicode data files, Copyright © 1991-2022
Unicode, Inc, licensed under the terms of
theUNICODE, INC. LICENSE AGREEMENTThird-party source codeContains portions of code fromimkgit,
Copyright (C) 2016 Cory Dolphin, Olin
College, released under the terms of theMIT License.ContributorsSciStag is developed by Michael Ikemann /@Alyxion. - Feel free to reach out to me
viaLinkedIn.