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48 lines
2.1 KiB
ReStructuredText
48 lines
2.1 KiB
ReStructuredText
.. nfstream documentation master file, created by
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sphinx-quickstart on Sat Oct 19 16:26:59 2019.
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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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======================
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nfstream documentation
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======================
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|build| |coverage| |quality| |release| |python| |platform| |license|
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nfstream is a flexible and lightweight network data analysis library.
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**nfstream main features**
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* **Performance:** nfstream was designed to be fast with a small CPU and memory footprint.
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* **Layer-7 visibility:** nfstream dissection is based on nDPI_ (~300 applications including Tor, Messenger, WhatsApp, etc.).
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* **Flexibility:** add a flow metric in 2 lines of code using nfstream plugins method.
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* **Machine Learning oriented:** add your trained model as an NFStreamClassifier_.
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.. toctree::
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:maxdepth: 2
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:caption: Contents:
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installation
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introduction
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tutorials
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contributing
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changelog
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.. |coverage| image:: https://codecov.io/gh/aouinizied/nfstream/branch/master/graph/badge.svg
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:target: https://codecov.io/gh/aouinizied/nfstream/
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.. |release| image:: https://img.shields.io/pypi/v/nfstream.svg
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:target: https://pypi.python.org/pypi/nfstream
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.. |build| image:: https://travis-ci.org/aouinizied/nfstream.svg?branch=master
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:target: https://travis-ci.org/aouinizied/nfstream
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.. |quality| image:: https://img.shields.io/lgtm/grade/python/github/aouinizied/nfstream.svg?logo=lgtm&logoWidth=18)
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:target: https://lgtm.com/projects/g/aouinizied/nfstream/context:python
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.. |python| image:: https://img.shields.io/badge/python-3.6+-blue.svg
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:target: https://travis-ci.org/aouinizied/nfstream
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.. |license| image:: https://img.shields.io/badge/license-LGPLv3-blue.svg
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:target: LICENSE
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.. |platform| image:: https://img.shields.io/badge/platform-linux%20%7C%20macos-blue
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:target: https://travis-ci.org/aouinizied/nfstream
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.. _nDPI: https://www.ntop.org/products/deep-packet-inspection/ndpi/
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.. _NFStreamClassifier: https://nfstream.readthedocs.io/en/latest/tutorials.html#create-your-own-classifier
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