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Files from Zied Aouini

Email addressaouinizied at gmail.com
First Active2020-02-05
Last Active2022-10-26
nfstream 5.1.3
Posted May 22, 2020
Authored by Zied Aouini | Site github.com

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.

Changes: Added ip anonymization export option. Added ip_src_type and ip_dst_type features. Added support for arm64 architecture.
tags | tool, python
systems | unix
SHA-256 | ffa34b1c7ca0e499c57f124019001f7a6aefc22c2d512c68d9c2df8d0ba8e93e
nfstream 5.1.2
Posted May 19, 2020
Authored by Zied Aouini | Site github.com

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.

Changes: Improved NULL values handling. Improved pandas dataframe types handling.
tags | tool, python
systems | unix
SHA-256 | b806f830367458c6c58503282e9bb26f68031a4c4dd3ddf1755523fd2289f282
nfstream 5.1.1
Posted May 18, 2020
Authored by Zied Aouini | Site github.com

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.

Changes: Fixed custom expiration handling.
tags | tool, python
systems | unix
SHA-256 | 7be034e76d8a422dea27e1ecc1000b72af080fcf3fcc5de6c9aab330a90bf6c3
nfstream 5.1.0
Posted May 8, 2020
Authored by Zied Aouini | Site github.com

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.

Changes: Added to_csv export feature. Reworked to_pandas export and libpcap setup. Patched for IPv6 support.
tags | tool, python
systems | unix
SHA-256 | a9bcb89c08a617fec0d6c0486d7c3f7f3ac5387201f9f490a35f75538e34c006
nfstream 4.0.1
Posted Apr 23, 2020
Authored by Zied Aouini | Site github.com

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.

Changes: Added to_json method. Added enable_guess parameter. Various other updates.
tags | tool, python
systems | unix
SHA-256 | 05697456dfaef68143af4f1d66d223ceaa4291f23be158ca69c675be3e925e08
nfstream 4.0.0
Posted Apr 15, 2020
Authored by Zied Aouini | Site github.com

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.

Changes: nDPI version update. ZMQ improvements. Various other updates.
tags | tool, python
systems | unix
SHA-256 | 04559de3a99a7794cdf77c1a2271e10e664021df37e7e1c7dee00ae868b1fd1b
nfstream 3.2.2
Posted Mar 1, 2020
Authored by Zied Aouini | Site github.com

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.

Changes: Added to_pandas method. Fixed previous broken package.
tags | tool, python
systems | unix
SHA-256 | 369f73eafd6b32a165719cd4d0a4f469e540a6451e49e32e55721d8819f6a92a
nfstream 3.2.0
Posted Feb 20, 2020
Authored by Zied Aouini | Site github.com

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.

Changes: Added nDPI 3.2 support. Fixed metadata extraction issues.
tags | tool, python
systems | unix
SHA-256 | 12011eb0e4798ce4039defc10498c4ae9af7f4edf7731e9d32f4d8ae678cda66
nfstream 3.1.2
Posted Feb 5, 2020
Authored by Zied Aouini | Site github.com

nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.

Changes: Fixed test workflows. Updated nDPI.
tags | tool, python
systems | unix
SHA-256 | 276e62b019d9ddf89b56b83251e72160914945f874193e34854919443ee42e62
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