Search Results for "router data usage" - Page 12
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Showing 1116 open source projects for "router data usage"
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gogcli
Google Suite CLI: Gmail, GCal, GDrive, GContacts
gogcli is a command-line interface tool that provides developers and power users with direct terminal access to a wide range of Google services without needing to leave the shell. This CLI tool covers several Google Workspace APIs including Gmail for email management, Google Calendar for scheduling and events, Google Drive for file operations, and Google Contacts for personal and corporate contact management. gogcli makes it possible to script repetitive tasks, automate workflows, and fetch... -
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Weights and Biases
Tool for visualizing and tracking your machine learning experiments
Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. Reproduce any model, with saved... -
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RecBole
A unified, comprehensive and efficient recommendation library
A unified, comprehensive and efficient recommendation library. We design general and extensible data structures to unify the formatting and usage of various recommendation datasets. We implement more than 100 commonly used recommendation algorithms and provide formatted copies of 28 recommendation datasets. We support a series of widely adopted evaluation protocols or settings for testing and comparing recommendation algorithms. -
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SuperAgent
Ajax for Node.js and browsers (JS HTTP client)
SuperAgent is light-weight progressive ajax API crafted for flexibility, readability, and a low learning curve after being frustrated with many of the existing request APIs. It also works with Node.js! Small progressive client-side HTTP request library, and Node.js module with the same API, supporting many high-level HTTP client features. Browser-ready versions of this module are available via jsdelivr, unpkg, and also in the node_modules/superagent/dist folder in downloads of the superagent... -
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lru-cache
A fast cache that automatically deletes the least recently used items
node-lru-cache is a high performance in memory caching library for Node.js that automatically evicts the least recently used items when the cache reaches its size limit. It is designed to provide predictable memory usage while maintaining fast lookup and update operations. The library is widely used in server side JavaScript applications where efficient caching can significantly improve performance. It offers flexible configuration options such as max size limits, time based expiration, and custom disposal logic. Developers can use it to cache expensive computations, API responses, or frequently accessed data. ... -
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SEO GEO Audit
Professional SEO and GEO audit workflows for brands, SaaS teams
...The system analyzes websites against modern search patterns, including how content is interpreted by AI-powered search engines and retrieval systems. It provides actionable insights into areas such as keyword usage, content clarity, and structural optimization. The tool is built as part of a broader ecosystem of AI-driven SEO utilities, emphasizing automation and data-driven recommendations. It is particularly useful for businesses aiming to adapt to the evolving landscape of AI-assisted search. Overall, SEO GEO Audit helps bridge the gap between traditional SEO practices and next-generation AI search optimization. -
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NATS Go Client
Golang client for NATS, the cloud native messaging system
...The NATS Adaptive Edge Architecture allows for a perfect fit for unique needs to connect devices, edge, cloud or hybrid deployments. With true multi-tenancy, securely isolate and share your data to fully meet your business needs, mitigating risk and achieving faster time to value. Security is bifurcated from topology, so you can connect anywhere in deployment and NATS will do the right thing. With the ability to process millions of messages a second per server, you’ll find unparalleled efficiency with NATS. Save money by minimizing cloud costs with reduced compute and network usage for streams, services, and eventing. ... -
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Perl 5
The Perl programming language
This repository contains the reference implementation of the Perl 5 programming language, including the interpreter, core modules, build system, and an extensive test suite. Perl 5 is a multi-paradigm language renowned for powerful text processing, rich regular expressions, and pragmatic glue code across systems. The core distribution is highly portable, building on Unix, Linux, Windows, and many other platforms, with stable release cycles and careful back-compatibility. A C API (XS) and... -
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Laravel Scout Elasticsearch
Search among multiple models with ElasticSearch and Laravel Scout
The package provides the perfect starting point to integrate ElasticSearch into your Laravel application. It is carefully crafted to simplify the usage of ElasticSearch within the Laravel Framework. It’s built on top of the latest release of Laravel Scout, the official Laravel search package. Using this package, you are free to take advantage of all of Laravel Scout’s great features, and at the same time leverage the complete set of ElasticSearch’s search experience. -
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Lagent
A lightweight framework for building LLM-based agents
Lagent is a lightweight open-source framework designed to help developers build autonomous agents powered by large language models. The framework provides tools and abstractions that allow language models to interact with external tools, execute tasks, and perform multi-step reasoning processes. Instead of using LLMs only for text generation, Lagent enables developers to transform models into agents capable of performing actions such as retrieving data, executing code, or interacting with... -
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SafeClaw
Chat with it via text and voice
SafeClaw is an open-source, entirely local alternative to cloud-based AI assistants like OpenClaw, enabling users to build a personal assistant that runs on their own machine without incurring API usage charges or exposing data to third-party services. It emphasizes privacy and predictability by using traditional programming, rule-based intent parsing, and established machine learning tools rather than large language models, meaning there are no per-token API costs and deterministic behavior. The assistant offers features such as voice control using fully local speech-to-text (Whisper) and text-to-speech (Piper) capabilities, news aggregation with extractive summarization, and smart home or Bluetooth device control. ... -
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SpeechRecognition
Speech recognition module for Python
Library for performing speech recognition, with support for several engines and APIs, online and offline. Recognize speech input from the microphone, transcribe an audio file, save audio data to an audio file. Show extended recognition results, calibrate the recognizer energy threshold for ambient noise levels (see recognizer_instance.energy_threshold for details). Listening to a microphone in the background, various other useful recognizer features. The easiest way to install this is using... -
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Async MySQL Connector .NET and .NET Core
Async MySQL Connector for .NET and .NET Core
This is an ADO.NET data provider for MySQL. It provides implementations of DbConnection, DbCommand, DbDataReader, DbTransaction, the classes needed to query and update databases from managed code. This library implements true asynchronous I/O for database operations, without blocking (or using Task.Run to run synchronous methods on a background thread). This greatly improves the throughput of a web server that performs database operations. This library outperforms MySQL Connector/NET... -
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Ultralytics
Ultralytics YOLO
Ultralytics is a comprehensive computer vision framework that provides state-of-the-art implementations of the YOLO (You Only Look Once) family of models, enabling developers to perform tasks such as object detection, segmentation, classification, tracking, and pose estimation within a unified system. It is designed to be fast, accurate, and easy to use, offering both command-line and Python-based interfaces for training, validation, and deployment of machine learning models. The framework... -
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/last30days
Claude Code skill that researches any topic across Reddit + X
/last30days is a specialized Claude Code skill designed to research current trends and practices across Reddit, X, and the wider web from the last 30 days, synthesize that data, and produce copy-paste-ready prompts or summaries that reflect what the community is actually talking about now. Rather than returning generic model responses, it intelligently analyzes social media and community discussions to identify what’s genuinely trending or working in practice across topics ranging from prompt techniques to tool usage or cultural trends. ... -
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ProxySQL
A high-performance MySQL proxy
ProxySQL is an open source, high performance, high availability, database protocol-aware proxy for MySQL. It was created due to a lack of high performance open source proxies, and is able to scale millions of connections across hundreds of thousands of backend servers, all while getting the freedom of being open source. ProxySQL provides end-to-end MySQL connection handling, real-time statistics and database traffic inspection. It's got failover detection, rich query rule definitions, and... -
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secator
Automated framework for running pentesting tools and workflows
Secator is a task and workflow runner designed to streamline security assessments by integrating many well-known penetration testing and reconnaissance tools into a unified framework. It acts as a centralized automation platform that helps security professionals run tasks, workflows, and scans more efficiently from a single command-line interface. It supports dozens of established security tools and organizes them into structured workflows, enabling users to perform complex reconnaissance... -
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Dozzle
Realtime log viewer for containers. Supports Docker, Swarm and K8s
...The interface includes practical quality-of-life features like fuzzy searching for containers, regex log search, split-screen viewing for multiple logs, and live stats such as CPU and memory usage. It supports more advanced analysis through an in-browser SQL query engine for querying logs, which helps when you need structured filtering without exporting data elsewhere. Dozzle also supports multi-user authentication and can integrate with proxy-forward authorization setups for deployments behind gateways. For larger environments, it can monitor multiple hosts via an agent mode and supports orchestrators like Docker Swarm and Kubernetes. -
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5ire
5ire is a cross-platform desktop AI assistant, MCP client
5ire is a sleek, cross‑platform desktop AI assistant and MCP client that connects to major service providers, supports a local knowledge base and tool integration via MCP servers, enabling robust RAG and assistant features. These components are required as they constitute the runtime environment for the MCP Server. If you don't anticipate using the tools feature immediately, you may choose to skip this installation step and complete it later when the need arises. MCP is an open protocol that... -
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FSKneeboard
FSKneeboard adds a helpful ingame panel to your flight simulator
FSKneeboard (formerly known as "VFR Map For VR") adds a helpful in-game panel to your flight simulator which brings several different maps, waypoints and tracks, a charts viewer, and a notepad right into your Flight Simulator cockpit! This is is especially helpful for those of us who like to fly in VR. Powerful, highly detailed maps for your next VFR trip. Optimized for VR! Your approach charts, checklists, and notes at your fingertips. Use your mouse to quickly take notes of ATIS and ATC... -
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tinysearch
Tiny, full-text search engine for static websites built with Rust
tinysearch is a lightweight full-text search engine designed specifically for static websites, offering fast and efficient search capabilities without requiring a backend server. It is written in Rust and compiled to WebAssembly, allowing it to run entirely in the browser while maintaining a very small footprint. The engine uses compact data structures such as XOR filters to efficiently index and query text, significantly reducing memory usage compared to traditional search libraries. TinySearch is particularly well-suited for blogs and documentation sites generated by static site generators, where simplicity and performance are critical. It processes content into a serialized binary index that can be loaded quickly and searched client-side, eliminating the need for external search services. ... -
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AI Engineer Headquarters
A collection of scientific methods, processes, algorithms
...Rather than focusing only on theoretical knowledge, the repository emphasizes applied learning and encourages engineers to build real systems that incorporate machine learning, large language models, data pipelines, and AI infrastructure. The curriculum includes a progression of topics such as foundational AI engineering skills, machine learning systems design, large language model usage, retrieval-augmented generation systems, model fine-tuning, and autonomous AI agents. It also promotes disciplined learning routines and project-based practice so learners can develop practical experience and build deployable solutions. -
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FlexLLMGen
Running large language models on a single GPU
FlexLLMGen is an open-source inference engine designed to run large language models efficiently on limited hardware resources such as a single GPU. The system focuses on high-throughput generation workloads where large batches of text must be processed quickly, such as large-scale data extraction or document analysis tasks. Instead of requiring expensive multi-GPU systems, the framework uses techniques such as memory offloading, compression, and optimized batching to run large models on commodity hardware. The architecture distributes computation and memory usage across the GPU, CPU, and disk in order to maximize the number of tokens processed during inference. ... -
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Agently 4
Build GenAI application quick and easy
...With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at production-grade GenAI application development rather than just one-off scripts — you’ll find examples of news gathering, agentic workflows, control systems, etc. It is licensed under Apache-2.0, allowing commercial use and modification. Because it's built in Python, it integrates easily with existing data pipelines, databases, and agent architectures. -
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From Java To Kotlin
Your Cheat Sheet For Java To Kotlin
From Java to Kotlin is a practical guide for Android developers transitioning existing codebases and habits from Java to idiomatic Kotlin. Rather than simply showing syntax translations, it emphasizes Kotlin’s expressive features—null safety, extensions, data classes, sealed hierarchies, and higher-order functions—and how to apply them sensibly. Examples illustrate side-by-side Java and Kotlin snippets, revealing opportunities to reduce boilerplate and improve readability. The guide includes best practices for coroutine usage, collection operations, and scoping functions that make asynchronous and functional patterns feel natural. ...
