Search Results for "network tools"
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Showing 57 open source projects for "network tools"
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v2ray-rules-dat
V2Ray routing rules file enhanced version, which can replace V2Ray
v2ray-rules-dat is a repository that compiles and distributes enhanced rule data (domain lists, geo-IP/geo-domain data, block/proxy/detect lists) intended for use with tools like V2Ray, Xray-core, and similar network/proxy frameworks. The dataset serves as an alternative or supplement to official geoip/ geosite data files, often providing more up-to-date, community-curated entries — enabling better routing, blocking, or traffic management when using those proxy tools. The repository is regularly updated (weekly sync upstream) and provides releases containing comprehensive data files (e.g. geoip.dat, geosite.dat, plus multiple .txt rule lists) plus checksums for integrity verification. ... -
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OmniTools
Self-hosted collection of powerful web-based tools for everyday tasks
...It’s also packaged for straightforward self-hosting, with a lightweight Docker image and simple run commands, so it can be deployed quickly on a homelab or internal network. -
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Impacket
A collection of Python classes for working with network protocols
Impacket is a collection of Python classes designed for working with network protocols. It was primarily created in the hopes of alleviating some of the hindrances associated with the implementation of networking protocols and stacks, and aims to speed up research and educational activities. It provides low-level programmatic access to packets, and the protocol implementation itself for some of the protocols, like SMB1-3 and MSRPC. It features several protocols, including Ethernet, IP, TCP,... -
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CoreNet
CoreNet: A library for training deep neural networks
...CoreNet integrates tightly with Apple’s proprietary ML stack and hardware, serving as the foundation for research in computer vision, language models, and multimodal systems within Apple AI. The framework includes monitoring tools, fault tolerance mechanisms, and efficient checkpointing for massive training runs. -
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Haiku
JAX-based neural network library
Haiku is a library built on top of JAX designed to provide simple, composable abstractions for machine learning research. Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX’s pure function transformations. Haiku is designed to make the common things we do such as managing model parameters and other model state simpler and similar in spirit to the Sonnet library that has been widely used... -
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IPNetwork
IPNetwork command line and C# library take care of complex network
IPNetwork is a command-line tool and C# library for IP network calculations. It helps .NET developers work with IPv4, IPv6, CIDR, netmasks, subnets, and supernets. The library can parse networks and calculate values such as network address, CIDR, netmask, broadcast, first usable address, last usable address, and total address count. It also supports containment and overlap checks, which are useful for validation, routing tools, firewall rules, and network planning. ... -
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Secdev Scapy
Scapy: the Python-based interactive packet manipulation program
...Scapy is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, match requests and replies, and much more. Scapy can be used as a REPL or as a library. It provides all the tools and documentation to quickly add custom network layers. Scapy runs natively on Linux, macOS, most Unixes, and on Windows with Npcap. It is published under GPLv2. Starting from version 2.5.0+, it supports Python 3.7+ (and PyPy). Scapy supports Python 2.7 and Python 3 (3.4 to 3.9). It's intended to be cross platform, and runs on many different platforms (Linux, OSX, *BSD, and Windows). ... -
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Stanza
Stanford NLP Python library for many human languages
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. ... -
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Penzai
A JAX research toolkit to build, edit, & visualize neural networks
...Its modular design includes tools for tree manipulation, named axes, and declarative neural network construction. The library integrates tightly with Treescope, an advanced pretty-printer for visualizing deeply nested JAX pytrees and NDArray structures. Penzai’s penzai.nn module provides a compositional, combinator-based API for building neural networks. -
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Mock Service Worker
Seamless REST/GraphQL API mocking library for browser and Node.js
...Use Express-like routing syntax to capture outgoing requests. Parameters, wildcards, regular expressions, mocking has never been easier. Browser usage is what sets Mock Service Worker apart from other tools. Utilizing the Service Worker API, which can intercept requests for the purpose of caching, Mock Service Worker responds to captured requests with your mock definition on the network level. This way your application knows nothing about the mocking. -
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Awesome Network Analysis
A curated list of awesome network analysis resources
awesome-network-analysis is a curated list of resources focused on network and graph analysis, including libraries, frameworks, visualization tools, datasets, and academic papers. It covers multiple programming languages and domains like sociology, biology, and computer science. This repository serves as a central reference for researchers, analysts, and developers working with network data. -
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POCO
Cross-platform C++ libraries for building network applications
The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++... -
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Polly
A .NET resilience and transient-fault-handling library for policies
Polly is a .NET resilience and transient-fault-handling library that allows developers to express policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation, and Fallback in a fluent and thread-safe manner. From version 6.0.1, Polly targets .NET Standard 1.1 and 2.0+. Today's cloud application, mobile, data-streaming, and IoT technologies all depend vitally on reliable connectivity. But underlying systems can fail, and networks are notoriously fickle, outages, latency, transient... -
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GitHub520
Community-maintained approach to improving access to GitHub services
GitHub520 is a community-maintained approach to improving access to GitHub services from regions with network friction by leveraging host mappings. The repository provides a regularly updated list of domain-to-IP entries meant to be appended to a system’s hosts file so certain GitHub endpoints resolve faster or more reliably. It includes scripts or guidance to automate updates, reducing the need for manual lookups when IPs change. The project’s goal is pragmatic: improve developer... -
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clash-rules
Clash Premium rule set (RULE-SET), compatible with ClashX Pro
clash-rules is a repository that provides rule sets and configuration files designed for proxy tools and systems like V2Ray / Clash — helping users to decide routing, blocking, or proxy behavior based on domain, IP, or other criteria. The repo aggregates many community-maintained lists: blocked domains, direct access lists, proxy-needed domains, geo-IP lists, and more — offering up-to-date and curated configuration data that reflects network conditions, censorship lists, or desirable routing policies. ... -
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RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
RuVector is part of the broader rUv ecosystem of AI engineering tools and focuses on enabling advanced vector-based processing and intelligent system development within agentic and AI-driven pipelines. The project fits into a larger vision of modular, composable AI infrastructure designed to support autonomous agents, data retrieval, and intelligent automation workflows. It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations... -
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Workbox
JavaScript libraries for Progressive Web Apps
Workbox is a set of libraries that can power a production-ready service worker for your Progressive Web App. Stop waiting on the network! You can improve your web app's performance by caching and serving your files, powered by a service worker. Even on an unreliable connection, your web app can still work using the right runtime caching strategies. Looking to build a progressive web app? Workbox makes it easy to create an offline first experience. Workbox is a library that bakes in a set of... -
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Synapse Machine Learning
Simple and distributed Machine Learning
...SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit, and OpenCV. These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. SynapseML also brings new networking capabilities to the Spark Ecosystem. ... -
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MIVisionX
Set of comprehensive computer vision & machine intelligence libraries
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning... -
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Cloudflare-Socks5
CF-workers/pages proxy script: supports Vless-ws (tls) and Trojan-ws
...It supports multiple transport modes including WebSocket with TLS, as well as optional encrypted handshake mechanisms like ECH-TLS, standard TLS, or even non-TLS configurations to adapt to different network restrictions. The system is designed with accessibility in mind, offering simplified setup processes that allow users to deploy nodes with minimal configuration, often requiring only a UUID or password. It also includes tools for generating optimized Cloudflare IP selections and supports multiple node formats for compatibility with clients like Clash and sing-box. -
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warp-yg
Warp multi-function one-click script, supports warp-go and wgcf
...The project includes functionality for selecting optimal endpoints and improving connection speed by dynamically identifying efficient routes. It is often used in conjunction with other proxy tools to enhance reliability and bypass network restrictions by leveraging Cloudflare’s global infrastructure. The script supports multiple deployment environments and can be integrated into broader proxy setups for hybrid configurations. It also emphasizes automation, reducing the need for manual configuration while still allowing advanced users to customize routing behavior. -
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Russh
Rust SSH client & server library
...The API is designed to be explicit and composable, making it possible to implement custom behaviors like reverse tunnels, interactive shells, and service multiplexing. Because performance and safety are central, the code leverages Rust’s type system to reduce classes of runtime errors common in network protocol implementations. The project also includes examples and discussion threads that show how other tools integrate it for web-based clients or gateway services. For teams building terminals, proxies, or embedded management planes, it offers a robust foundation without shelling out to external binaries. -
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Polybar Themes
A huge collection of polybar themes
...The project includes simple and bitmap theme families, along with fonts, wallpapers, scripts, and installation tooling. It is designed for customizable desktop environments and window managers, especially setups that use Polybar with tools like Rofi, pywal, and NetworkManager menus. The themes can display common system and desktop information such as workspaces, windows, CPU, memory, battery, network, volume, backlight, and time. Overall, it is a convenient theme pack for Linux users who want attractive and functional status bars quickly. -
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RLax
Library of JAX-based building blocks for reinforcement learning agents
...It supports both on-policy and off-policy learning, as well as value-based, policy-based, and model-based approaches. RLax is fully JIT-compilable with JAX, enabling high-performance execution across CPU, GPU, and TPU backends. The library implements tools for Bellman equations, return distributions, general value functions, and policy optimization in both continuous and discrete action spaces. It integrates seamlessly with DeepMind’s Haiku (for neural network definition) and Optax (for optimization), making it a key component in modular RL pipelines. -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness.
