Open Source Python Networking Software
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Python Networking Software
View 336 business solutionsBrowse free open source Python Networking Software and projects below. Use the toggles on the left to filter open source Python Networking Software by OS, license, language, programming language, and project status.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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s3cmd
Command line tool for managing Amazon S3 and CloudFront services
Open-source tool to access Amazon S3 file storage. S3cmd is a free command line tool and client for uploading, retrieving and managing data in Amazon S3 and other cloud storage service providers that use the S3 protocol, such as Google Cloud Storage. Lots of features and options have been added to s3cmd since its very first release in 2008.... we recently counted more than 60 command line options, including multipart uploads, encryption, incremental backup, s3 sync, ACL and Metadata management, S3 bucket size, bucket policies, and more! -
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SIGAR (System Information Gatherer and Reporter) is a cross-platform, cross-language library and command-line tool for accessing operating system and hardware level information in Java, Perl and .NET.
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NetworkX
Network analysis in Python
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Data structures for graphs, digraphs, and multigraphs. Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested with over 90% code coverage. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”. -
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Zappa - Serverless Python
Serverless Python
Zappa makes it super easy to build and deploy server-less, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests grows too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Imagen - Pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network
Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior network is needed after all. And so research continues. For simpler training, you can directly supply text strings instead of precomputing text encodings. (Although for scaling purposes, you will definitely want to precompute the textual embeddings + mask) -
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Mangum
AWS Lambda support for ASGI applications
Mangum is an adapter for running ASGI applications in AWS Lambda to handle Function URL, API Gateway, ALB, and Lambda@Edge events. Event handlers for API Gateway HTTP and REST APIs, Application Load Balancer, Function URLs, and CloudFront Lambda@Edge. Compatibility with ASGI application frameworks, such as Starlette, FastAPI, Quart and Django. Support for binary media types and payload compression in API Gateway using GZip or Brotli. Works with existing deployment and configuration tools, including Serverless Framework and AWS SAM. The heart of Mangum is the adapter class. It is a configurable wrapper that allows any ASGI application (or framework) to run in an AWS Lambda deployment. The adapter accepts a number of keyword arguments to configure settings related to logging, HTTP responses, ASGI lifespan, and API Gateway configuration. -
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour). -
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Sentry
Cross-platform application monitoring and error tracking software
Sentry is a cross-platform, self-hosted error monitoring solution that helps software teams discover, monitor and fix errors in real-time. The most users and logs will have to provide are the clues, and Sentry provides the answers. Sentry offers enhanced application performance monitoring through information-laden stack traces. It lets you build better software faster and more efficiently by showing you all issues in one place and providing the trail of events that lead to errors. It also provides real-time monitoring and data visualization through dashboards. Sentry’s server is in Python, but its API enables for sending events from any language, in any application. More than fifty-thousand companies already ship better software faster thanks to Sentry; let yours be one of them! -
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Watchdog
Python library and shell utilities to monitor filesystem events
Python API library and shell utilities to monitor file system events. A simple program that uses watchdog to monitor directories specified as command-line arguments and logs events generated. Watchdog comes with an optional utility script called watchmedo. Please type watchmedo --help at the shell prompt to know more about this tool. You can use the shell-command subcommand to execute shell commands in response to events. watchmedo can read tricks.yaml files and execute tricks within them in response to file system events. Tricks are actually event handlers that subclass watchdog.tricks.Trick and are written by plugin authors. Trick classes are augmented with a few additional features that regular event handlers don't need. The directory containing the tricks.yaml file will be monitored. Each trick class is initialized with its corresponding keys in the tricks.yaml file as arguments and events are fed to an instance of this class as they arrive. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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libptpmgmt
PTP Management library to communicate with linuxptp using IEEE 1558.
The libptpmgmt Project provides a library to communicate with LinuxPTP using IEEE 1558 management messages over a network. -
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GGI stands for "General Graphics Interface", and it is a project that aims to develop a reliable, stable and fast graphics system that works everywhere. We want to allow any program using GGI to run on any platform requiring at most a recompile.
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Madara
Middleware for distributed applications
The purpose of the project is to develop a portable programming framework that facilitates distributed and multi-threaded programming for C++, Java, and Python. MADARA was originally developed as an agent-based middleware specifically for real-time, distributed artificial intelligence, but is now more general purpose for distributed timing, control, knowledge and reasoning, and quality-of-service. MADARA is composed of several tools and middleware, and the main entry point into the system is the Knowledge and Reasoning Language (KaRL) Engine, which provides a real-time scripting language for nanosecond execution times hooked into a flexible transport layer for distributed reasoning. The KaRL engine also supports object-oriented C++, Java, and Python programming through Containers, classes that provide abstractions and references for variable location within the KaRL Knowledge Base. This project is currently in process of being ported from http://madara.googlecode.com. -
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Unified Sessions Manager
Pioneering Private and Public Cloud Management since 2008
The UnifiedSessionsManager supports the integrated management of user sessions within Private-Clouds, comprising heterogeneous IT landscapes of various physical and virtual machines, hypervisor management, and virtual user sessions with remote desktops. Extracted documents see https://sourceforge.net/projects/ctys-doc. -
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EulerSharp
Euler Yet another proof Engine
EYE [1] is a reasoning engine supporting the Semantic Web layers [2]. It performs controlled chaining and it supports Euler paths [3]. Via N3 [4] it is interoperable with Cwm [5]. [1] http://eulersharp.sourceforge.net/README [2] http://www.w3.org/DesignIssues/diagrams/sweb-stack/2006a [3] http://mathworld.wolfram.com/KoenigsbergBridgeProblem.html [4] http://www.w3.org/TeamSubmission/n3/ [5] http://www.w3.org/2000/10/swap/doc/cwm -
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A cross-platform Python Bluetooth API for Mac OS X, GNU/Linux and Python For Series 60. Provides simple device and service discovery, RFCOMM sockets, L2CAP client sockets, OBEX file transfer, service advertising, and access to local device information.
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Moihack Port-Flooder
A simple TCP/UDP Port Flooder written in Python.
This is a simple Port Flooder written in Python 3.2 Use this tool to quickly stress test your network devices and measure your router's or server's load. Features are available in features section below. Moihack DoS Attack Tool was the name of the 1st version of the program. Moihack Port-Flooder is the Reloaded Version of the program with major code rewrite and changes. Code is much smaller in size now - from about 130 pure lines of codes to 35 lines only. To run it you must have Python 3.2 or newer installed.Tested this on Windows,but guess it will work in Linux also,since there are not any OS specific lines in the code. This tool was only written for personal tests and usage! It was NOT written to DDoS other people and/or cause harm to hardware.I am NOT responsible for any kind of damage you make by using this software. If you want to reach me, contact me at moihack.inside@gmail.com -
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Entangled is a distributed hash table (DHT) and peer-to-peer tuple space, based on Kademlia. It is written in Python, and makes use of the Twisted framework. This can be used as a base for creating peer-to-peer (P2P) network applications.
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radiustest
Radius client written in python
This is a flexible radius client. The main idea is to have a client which could be easily used to test different Radius servers. Client supports: - Radius PAP authentication - Multi thread (sniffing separated from sending) - Several Attribute Value Pairs (AVP) supported (nas-ip-address, service-type, nas-port-type, calling-station-id, called-station-id) - We can add new AVP easily - Flooding mode (performance/stress testing) - Accounting messages Client uses scapy library to send/receive packets. It consists of two python classes: - RadiusExt: Radius class supporting AVP, authentication, packet manipulation (derived from Scapy Packet class) - RadiusAttr: Class for AVP (derived from Scapy Packet class) I use this client to: - test basic PAP authentication - send different AVP to test if Radius server is behaving correctly (RFC compliance) - display returned AVP - flood Radius server with multiple packets (performance testing) For examples please refer to readme.txt -
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An implementation of the Open Group's Application Response Measurement (ARM) Version 4 standard. The ARM standard describes a means of breaking an application down into it's constituent transactions, and measuring response time across multiple tiers.
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DAXFi is a Python package that helps configure several different kinds of firewalls in a consistent way. The rules are described in XML. It comes with a Python package, useful to build other applications and includes some useful example programs.
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NetStress-NG
NetStress is a DDoS and network stress testing tool.
Syn Flood Attacks SYNFlood with static source port SYNFlood with random source port SYNFlood with static source ip address SYNFlood with random source address SynFlood with fragmented packets ACK Flood Attacks ACK Flood with static source port ACK Flood with random source port ACK Flood with static source ip address ACK Flood with random source address ACK Flood with fragmented packets FIN Flood Attacks FIN Flood with static source port FIN Flood with random source port FIN Flood with static source ip address FIN Flood with random source address FIN Flood with fragmented packets UDP Flood Attacs Static source port udp flood UDP flood with random source port UDP Flood with static source ip address UDP Flood with random source address UDP Flood with fragmented packets ICMP Flood ICMP Flood with all options random(source ip, icmp type, code) HTTP Flood ... More info: http://sf.net/p/netstressng/wiki/Home/ -
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PyNuker
A stress testing tool written in python.
PyNuker is a network stress testing tool written in python. Because it is written in python it should run equally well on any system that has Python version 3.x installed. It infinitely(until stopped) sends a string of text via a UDP packet to a target computer or network device in an effort to flood the target with so much useless traffic that it stops responding to valid requests. I digitally sign some files in my releases. If you'd like to verify those signatures, you can find my PGP/GPG keys at: https://marcusadams.me/keys.html If you'd like to donate there's several ways to do so: PayPal: https://paypal.me/gerowen Bitcoin (BTC): bc1q86c5j7wvf6cw78tf8x3szxy5gnxg4gj8mw4sy2 Monero (XMR): 42ho3m9tJsobZwQDsFTk92ENdWAYk2zL8Qp42m7pKmfWE7jzei7Fwrs87MMXUTCVifjZZiStt3E7c5tmYa9qNxAf3MbY7rD LiberaPay: https://liberapay.com/gerowen -
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dhcpclientsimulator
Both a DHCP client simulator and a DHCP attack tool.
#DHCP Client Simulator For the DHCP client simulator mode, assuming there is an active DHCP server on the network, the user can choose to simulate any number of DHCP clients. All DHCP leases obtained from the server are saved in the DHCP_Leases.txt file, which is automatically generated by the program. The user can also release the leases received from the server, either one by one (by IP address) or all of them at once. After releasing all the addresses, the DHCP_Leases.txt file is also cleared. -
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Compiler for message-passing network protocols, currently based on UDP. APC is written in Python and produces C code. It includes a C run-time library.
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Auto Proxy Filter Test (APFT) automates the testing of safe and unsafe URLs against a content filtering proxy (such as Dansguardian) and helps prevent regressions. APFT is useful to people who are designing filter rules.
