Showing 503 open source projects for "python-libpcap"

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    Automate contact and company data extraction

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  • 1
    redis-py

    redis-py

    Redis Python client

    redis-py is the official Python client for interacting with Redis, the in-memory data structure store. It supports all Redis commands and data types, making it easy to build caching, messaging, or real-time analytics features in Python applications. With both synchronous and asyncio support, redis-py is suited for modern Python projects and integrates smoothly into web frameworks, task queues, and backend services.
    Downloads: 0 This Week
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  • 2
    py2many

    py2many

    Transpiler of Python to many other languages

    Python is popular, and easy to program in, but it has poor runtime performance. We can fix that by transpiring a subset of the language into a more performant, statically typed language. A second benefit is security. Writing security-sensitive code in a low-level language like C is error-prone and could lead to privilege escalation. Specialized languages such as wuffs exist to address this use case. py2many can be a more general-purpose solution to the problem where you can verify the source via unit tests before you transpile. ...
    Downloads: 3 This Week
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  • 3
    Pants Build System

    Pants Build System

    The Pants Build System

    Pants 2 is a fast, scalable, user-friendly build system for codebases of all sizes. It's currently focused on Python, Go, Java, Scala, Kotlin, Shell, and Docker, with support for other languages and frameworks coming soon. A lot of effort has gone into making Pants easy to adopt, easy to use and easy to extend. We're super excited to bring Pants' distinctive features to Go, Java, Python, Scala, Kotlin, and Shell users. Pants requires very minimal BUILD file metadata/boilerplate. ...
    Downloads: 2 This Week
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  • 4
    urllib3

    urllib3

    Python HTTP library with thread-safe connection pooling

    urllib3 is a powerful, user-friendly HTTP client for Python. Much of the Python ecosystem already uses urllib3 and you should too. Thread safety, connection pooling. Client-side TLS/SSL verification. File uploads with multipart encoding. Helpers for retrying requests and dealing with HTTP redirects. Support for gzip, deflate, brotli, and zstd encoding. Proxy support for HTTP and SOCKS. 100% test coverage.
    Downloads: 1 This Week
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  • 5
    go1pylib

    go1pylib

    go1pylib is a Python library designed to control the Go1 robot

    go1pylib is a Python library designed to control the Go1 robot by Unitree Robotics. It provides an easy-to-use interface for robot movement, state management, collision avoidance, battery monitoring, and MQTT communication. Ideal for research and robotics development.
    Downloads: 0 This Week
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  • 6
    segyio

    segyio

    Fast Python library for SEGY files

    Segyio is a small LGPL-licensed C library for easy interaction with SEG-Y and Seismic Unix formatted seismic data, with language bindings for Python and Matlab. Segyio is an attempt to create an easy-to-use, embeddable, community-oriented library for seismic applications. Features are added as they are needed; suggestions and contributions of all kinds are very welcome.
    Downloads: 0 This Week
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  • 7
    troposphere

    troposphere

    Python library to create AWS CloudFormation descriptions

    The troposphere library allows for easier creation of the AWS CloudFormation JSON by writing Python code to describe the AWS resources. troposphere also includes some basic support for OpenStack resources via Heat. To facilitate catching CloudFormation or JSON errors early the library has property and type checking built into the classes.
    Downloads: 0 This Week
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  • 8
    latexify

    latexify

    A library to generate LaTeX expression from Python code

    latexify_py converts small, math-heavy pieces of Python code into human-readable LaTeX that mirrors the intent of the computation, not just its surface syntax. It parses Python functions and expressions into an abstract syntax tree (AST), applies symbolic rewrites for common mathematical constructs, and then emits LaTeX that compiles cleanly in standard environments. Typical use cases include turning analytical utilities—like probability mass functions, activation formulas, or recurrence relations—into equations suitable for papers, notebooks, and slide decks. ...
    Downloads: 0 This Week
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  • 9
    Pymunk

    Pymunk

    Pymunk is a easy-to-use pythonic 2d physics library

    Pymunk is an easy-to-use Pythonic 2D physics library that can be used whenever you need 2D rigid body physics from Python. Perfect when you need 2D physics in your game, demo or simulation! It is built on top of the very capable 2D physics library Chipmunk2D. The first version was released in 2007 and Pymunk is still actively developed and maintained today, more than 15 years of active development. Pymunk has been used with success in many projects, big and small.
    Downloads: 5 This Week
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  • 10
    Pyro

    Pyro

    Deep universal probabilistic programming with Python and PyTorch

    Pyro is a flexible, universal probabilistic programming language (PPL) built on PyTorch. It allows for expressive deep probabilistic modeling, combining the best of modern deep learning and Bayesian modeling. Pyro is centered on four main principles: Universal, Scalable, Minimal and Flexible. Pyro is universal in that it can represent any computable probability distribution. It scales easily to large datasets with minimal overhead, and has a small yet powerful core of composable...
    Downloads: 3 This Week
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  • 11
    Shaderc

    Shaderc

    A collection of tools, libraries, and tests for Vulkan shader

    Shaderc is a collection of tools and libraries for compiling shaders—small programs that run on GPUs—into SPIR-V, the intermediate representation used by the Vulkan graphics API. It provides both a command-line tool (glslc) and a C/C++ library (libshaderc) that wrap the functionality of glslang (the Khronos reference compiler for GLSL) and SPIRV-Tools to deliver a modern, scriptable, and efficient shader compilation workflow. The glslc compiler offers a GCC/Clang-like interface for building...
    Downloads: 7 This Week
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  • 12
    Hera

    Hera

    Hera is an Argo Python SDK

    Hera is an Argo Python SDK. Hera aims to make the construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo.
    Downloads: 0 This Week
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  • 13
    PyTensor

    PyTensor

    Python library for defining and optimizing mathematical expressions

    PyTensor is a fork of Aesara, a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays. PyTensor is based on Theano, which has been powering large-scale computationally intensive scientific investigations since 2007. A hackable, pure-Python codebase. Extensible graph framework is suitable for rapid development of custom operators and symbolic optimizations.
    Downloads: 0 This Week
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  • 14
    plotly.py

    plotly.py

    The interactive graphing library for Python

    plotly.py is a browser-based, open source graphing library for Python that lets you create beautiful, interactive, publication-quality graphs. Built on top of plotly.js, it is a high-level, declarative charting library that ships with more than 30 chart types. Everything from statistical charts and scientific charts, through to maps, 3D graphs and animations, plotly.py lets you create them all.
    Downloads: 1 This Week
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  • 15
    Boltons

    Boltons

    250+ constructs, recipes, and snippets which extend the Python library

    Boltons is a set of pure-Python utilities in the same spirit as, and yet conspicuously missing from, the standard library. Due to the nature of utilities, application developers might want to consider other integration options. Boltons is tested against Python 2.6-2.7, 3.4-3.7, and PyPy. The majority of boltons strive to be “good enough” for a wide range of basic uses, leaving advanced use cases to Python’s myriad specialized 3rd-party libraries.
    Downloads: 1 This Week
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  • 16
    grafanalib

    grafanalib

    Python library for building Grafana dashboards

    Grafanalib is a Python library for building Grafana dashboards programmatically, allowing users to automate dashboard creation and configuration.
    Downloads: 3 This Week
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  • 17
    LLM CLI

    LLM CLI

    Access large language models from the command-line

    A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine.
    Downloads: 1 This Week
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  • 18
    Semantix

    Semantix

    Non-Pydantic, Non-JSON Schema, efficient AutoPrompting

    Semantix empowers developers to infuse meaning into their code through enhanced variable typing (semantic typing). By leveraging the power of large language models (LLMs) behind the scenes, Semantix transforms ordinary functions into intelligent, context-aware operations without explicit LLM calls.
    Downloads: 1 This Week
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  • 19
    Mistral Inference

    Mistral Inference

    Official inference library for Mistral models

    Open and portable generative AI for devs and businesses. We release open-weight models for everyone to customize and deploy where they want it. Our super-efficient model Mistral Nemo is available under Apache 2.0, while Mistral Large 2 is available through both a free non-commercial license, and a commercial license.
    Downloads: 6 This Week
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  • 20
    notebooker

    notebooker

    Productionise & schedule your Jupyter Notebooks

    Productionise and schedule your Jupyter Notebooks, just as interactively as you wrote them. Notebooker is a webapp which can execute and parametrise Jupyter Notebooks as soon as they have been committed to git. The results are stored in MongoDB and searchable via the web interface, essentially turning your Jupyter Notebook into a production-style web-based report in a few clicks.
    Downloads: 5 This Week
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  • 21
    AutoKeras

    AutoKeras

    AutoML library for deep learning

    AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. AutoKeras would search for the best detailed configuration for you. ...
    Downloads: 0 This Week
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  • 22
    Rasa

    Rasa

    Open source machine learning framework to automate text conversations

    ...Rasa uses Poetry for packaging and dependency management. If you want to build it from the source, you have to install Poetry first. By default, Poetry will try to use the currently activated Python version to create the virtual environment for the current project automatically.
    Downloads: 8 This Week
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  • 23
    AudioCraft

    AudioCraft

    Audiocraft is a library for audio processing and generation

    ...Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. The repo provides inference scripts, checkpoints, and simple Python APIs so you can generate clips from prompts or incorporate the models into applications. It also contains training code and recipes, so researchers can fine-tune on custom data or explore new objectives without building infrastructure from scratch. Example notebooks, CLI tools, and audio utilities help with prompt design, conditioning on reference audio, and post-processing to produce ready-to-share outputs.
    Downloads: 2 This Week
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  • 24
    PyQuil

    PyQuil

    A Python library for quantum programming using Quil

    PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. ...
    Downloads: 2 This Week
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  • 25
    Homemade Machine Learning

    Homemade Machine Learning

    Python examples of popular machine learning algorithms

    ...The purpose is pedagogical: you’ll see linear regression, logistic regression, k-means clustering, neural nets, decision trees, etc., built in Python using fundamentals like NumPy and Matplotlib, not hidden behind API calls. It is well suited for learners who want to move beyond library usage to understand how algorithms operate internally—how cost functions, gradients, updates and predictions work.
    Downloads: 0 This Week
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