PyPCAPKit - Comprehensive Network Packet Analysis Library
For any technical and/or maintenance information,
please kindly refer to the |docs|_.
.. |docs| replace:: Official Documentation
.. _docs: https://jarryshaw.github.io/PyPCAPKit/
The PyPCAPKit project is an open source Python program focus on network packet
parsing and analysis, which works as a comprehensive PCAP
_ file extraction,
construction and analysis library.
The whole project supports Python 3.6 or later.
About
PyPCAPKit is a comprehensive Python-native network packet analysis library,
with DictDumper
_ as its formatted output dumper.
Unlike popular PCAP file extractors, such as Scapy
, DPKT
, PyShark
_,
and etc, pcapkit
is designed to be much more comprehensive, which means
it is able to provide more detailed information about the packet, as well as
a more Pythonic interface for users to interact with.
Module Structure
In pcapkit
, all files can be described as following eight parts.
-
Interface (pcapkit.interface
)
User interface for the pcapkit
library, which
standardises and simplifies the usage of this library.
-
Foundation (pcapkit.foundation
)
Synthesises file I/O and protocol analysis, coordinates
information exchange in all network layers, as well as
provides the foundamental functions for pcapkit
.
-
Protocols (pcapkit.protocols
)
Collection of all protocol family, with detailed
implementation and methods.
-
Utilities (pcapkit.utilities
)
Auxiliary functions and tools for pcapkit
.
-
CoreKit (pcapkit.corekit
)
Core utilities for pcapkit
implementation, mainly
for internal data structure and processing.
-
ToolKit (pcapkit.toolkit
)
Auxiliary tools for pcapkit
to support the multiple
extraction engines with a unified interface.
-
DumpKit (pcapkit.dumpkit
)
File output formatters for pcapkit
.
-
Constants (pcapkit.const
)
Constant enumerations used in pcapkit
for protocol
family extraction and representation.
Engine Comparison
Due to the general overhead of pcapkit
, its extraction procedure takes
around 0.2 milliseconds per packet, which is already impressive but not enough
comparing to other popular extration engines availbale on the market, given the
fact that pcapkit
is a comprehensive packet processing module.
Additionally, pcapkit
introduced alternative extractionengines to accelerate
this procedure. By now pcapkit
supports Scapy
, DPKT
, and PyShark
_.
Test Environment
.. list-table::
* - Operating System
- macOS Ventura 13.4.1
* - Chip
- Apple M2 Pro
* - Memory
- 16 GB
Test Results
~~~~~~~~~~~~
============= ===========================
Engine Performance (ms per packet)
============= ===========================
``dpkt`` 0.010390_056723
``scapy`` 0.091690_233567
``pcapkit`` 0.200390_390390
``pyshark`` 24.682185_018351
============= ===========================
------------
Installation
------------
.. note::
``pcapkit`` supports Python versions **since 3.6**.
Simply run the following to install the current version from PyPI:
.. code-block:: shell
pip install pypcapkit
Or install the latest version from the gi repository:
.. code-block:: shell
git clone https://github.com/JarryShaw/PyPCAPKit.git
cd pypcapkit
pip install -e .
# and to update at any time
git pull
And since ``pcapkit`` supports various extraction engines, and extensive
plug-in functions, you may want to install the optional ones:
.. code-block:: shell
# for DPKT only
pip install pypcapkit[DPKT]
# for Scapy only
pip install pypcapkit[Scapy]
# for PyShark only
pip install pypcapkit[PyShark]
# and to install all the optional packages
pip install pypcapkit[all]
# or to do this explicitly
pip install pypcapkit dpkt scapy pyshark
For CLI usage, you will need to install the optional packages:
.. code-block:: shell
pip install pypcapkit[cli]
# or explicitly...
pip install pypcapkit emoji
.. _PCAP: https://en.wikipedia.org/wiki/Pcap
.. _Scapy: https://scapy.net
.. _DPKT: https://dpkt.readthedocs.io
.. _PyShark: https://kiminewt.github.io/pyshark
.. _DictDumper: https://github.com/JarryShaw/DictDumper