Search Results for "bandwidth"
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Showing 53 open source projects for "bandwidth"
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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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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Nicotine+
Graphical client for the Soulseek peer-to-peer network
...Built in Python with a Qt-based GUI, Nicotine+ offers a lightweight yet feature-rich experience for users looking to share and discover files in a decentralized, user-governed environment. It includes search capabilities, bandwidth throttling, chat rooms, and user-to-user messaging, supporting a vibrant community of digital collectors and music lovers. -
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Nitter
Alternative Twitter front-end
...The system also supports RSS feeds and advanced search features, enabling integration with external tools and workflows. Because it avoids JavaScript and heavy frontend dependencies, Nitter delivers faster performance and lower bandwidth usage compared to the official platform. -
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DeepEP
DeepEP: an efficient expert-parallel communication library
...Because MoE architectures require routing inputs to different experts, communication overhead can become a bottleneck — DeepEP addresses that by providing optimized GPU kernels and efficient dispatch/combining logic. The library also supports low-precision operations (such as FP8) to reduce memory and bandwidth usage during communication. DeepEP is aimed at large-scale model inference or training systems where expert parallelism is used to scale model capacity without replicating entire networks. -
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Dispatcharr
Your Ultimate IPTV & Stream Management Companion
Dispatcharr is a self-hosted IPTV and streaming management platform built for people who want full control over their playlists, streams, and program guide (EPG) data. It lets you import M3U/EPG sources, curate and organize them with filtering and grouping, and serve them reliably to clients like Plex, Jellyfin, and Emby with advanced proxying and failover support. Designed with both simple personal use and larger self-hosted setups in mind, Dispatcharr offers real-time streaming statistics,... -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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Algo VPN
Set of Ansible scripts that simplifies the setup of a personal VPN
Introducing Algo, a self-hosted personal VPN server designed for ease of deployment and security. Algo automatically deploys an on-demand VPN service in the cloud that is not shared with other users, relies on only modern protocols and ciphers, and includes only the minimal software you need. And it’s free. For anyone who is privacy conscious, travels for work frequently, or can’t afford a dedicated IT department, this one’s for you. Really, the paid-for services are just commercial... -
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FramePack
Lets make video diffusion practical
...The idea is to “pack” frames by detecting shared structure and storing differences efficiently, which can accelerate training or inference on video-like data. By reducing I/O and memory bandwidth, datasets become lighter to load while models still see the essential temporal variation. The repository demonstrates both packing and unpacking steps, making it straightforward to integrate into preprocessing pipelines. It’s useful for diffusion and generative models that learn from sequential image datasets, as well as classical pipelines that batch many related frames. ... -
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Sideband
LXMF client for Android, Linux and macOS to communicate with people
Sideband is a privacy-focused, peer-to-peer mesh messaging protocol and platform that allows users to communicate directly over local networks or the internet without servers. It emphasizes metadata resistance and secure message delivery, working effectively in offline, low-bandwidth, or disaster recovery scenarios. Built-in Rust, Sideband supports encrypted group messaging, file transfers, and network self-discovery. It is ideal for use in community networks, crisis response, and decentralized communications infrastructure. -
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how-to-optim-algorithm-in-cuda
How to optimize some algorithm in cuda
how-to-optim-algorithm-in-cuda is an open educational repository focused on teaching developers how to optimize algorithms for high-performance execution on GPUs using CUDA. The project combines technical notes, code examples, and practical experiments that demonstrate how common computational kernels can be optimized to improve speed and memory efficiency. Instead of presenting only theoretical explanations, the repository includes hand-written CUDA implementations of fundamental operations... -
9
Torrra
A Python tool that lets you search and download torrents
...The core of Torrra is built with modern asynchronous I/O and efficient resource handling, allowing it to manage multiple active torrents, peer connections, and swarm interactions without wasting CPU or memory. Users can add, pause, prioritize, and remove torrents dynamically, while the client intelligently manages piece selection, peer discovery, and bandwidth allocation to optimize download throughput. Torrra also includes hooks for event monitoring and status reporting, enabling third-party tools to visualize torrent progress or integrate with home automation dashboards. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Moshi
A speech-text foundation model for real time dialogue
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec. Mimi processes 24 kHz audio, down to a 12.5 Hz representation with a bandwidth of 1.1 kbps, in a fully streaming manner (latency of 80ms, the frame size), yet performs better than existing, non-streaming, codecs like SpeechTokenizer (50 Hz, 4kbps), or SemantiCodec (50 Hz, 1.3kbps). Moshi models two streams of audio: one corresponds to Moshi, and the other one to the user. At inference, the stream from the user is taken from the audio input, and the one for Moshi is sampled from the model's output. ... -
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Network Security Toolkit (NST)
A network security analysis and monitoring toolkit Linux distribution.
Network Security Toolkit (NST) is a bootable ISO image (Live USB Flash Drive) based on Fedora 42 providing easy access to best-of-breed Open Source Network Security Applications and should run on most x86_64 systems. The main intent of developing this toolkit was to provide the security professional and network administrator with a comprehensive set of Open Source Network Security Tools. The majority of tools published in the article: Top 125 Security Tools by INSECURE.ORG are available... -
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voxshare_gui
*VoxShare* is a simple Python-based push-to-talk multicast voice chat
VoxShare is a simple Python-based push-to-talk multicast voice chat application with a sleek modern GUI built using CustomTkinter. Provided as python source code or compiled standalone windows application (no need to install anything). -
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vido
Video/Audio Downloader frontend for youtube-dl
Vido is a Video/Audio Downloader frontend for the popular youtube downloader youtube-dl, a rewrite of ytd-gtk by the same team, updated to python 3 using pygobjects and GTK+. Vido now uses yt-dlp, an updated fork of youtube-dl for downloading videos. yt-dlp is faster and supports more sites than the original youtube-dl The program has been tested only on linux and the installation instructions are also provided for the same on our wiki. We do not provide support for windows/mac... -
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Barman for PostgreSQL
Backup and Recovery Manager for PostgreSQL
Barman (backup and recovery manager) is an administration tool for disaster recovery of PostgreSQL servers written in Python. It allows to perform remote backups of multiple servers in business critical environments and help DBAs during the recovery phase. Barman's most wanted features include backup catalogs, retention policies, remote recovery, archiving and compression of WAL files and backups. Barman is written and maintained by PostgreSQL professionals 2ndQuadrant. -
15
lms2fits
Dual-channel spectroscopic receiver using LimeSDR-USB
`lms2fits` is a dual-channel spectroscopic receiver for radio astronomy that employs theLimeSDR's LimeSDR-USB dual-channel transceiver, which in turn employs Lime Microsystems' LMS7002M transceiver chip. These systems allow a frequency-agile (<30 MHz to 3.8 GHz) receiver providing Stokes parameters in dynamic spectra of up to 60 MHz analog bandwidth streamed to a FITS file with three-axis primary table. It runs on linux under .Net. -
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Datahosting ipfs kubo-cluster
Managed IPFS Kubo pinning with IPFS Cluster replication
...For higher availability, IPFS Cluster replication is available with 1, 2, or 3 replicas, enabling redundancy across nodes and improved resilience against node failure. Bandwidth usage is tracked separately, with included allowances and predictable overage pricing.https://github.com/branislav1989/ipfs-kubo-private-public-ipfs-cluste -
17
Qvid
Stream low latency video from your desktop or webcam over TCP/IP
Qvid is a demo video streaming application for Windows (MacOs support limited and currently broken), written in Python. It allows you to capture screenshots of your desktop, webcam, and selected windows programs. The captured images are compressed and sent as a continuous stream over a TCP connection to a single machine. Developed alongside https://sourceforge.net/projects/netjoy/ to allow for off-site, single and multiplayer, game play over an internet connection. -
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GrainSizeTools script
A Python script for estimating the grain size from thin sections
Homepage & docs: http://marcoalopez.github.io/GrainSizeTools/ GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology), and estimating differential stress via paleopizometers. The script requires as the input the... -
19
Electronic Shelf Label Firebase Edition
An electronic shelf label is a type of price tag
...It doesn't require an expensive gateway to function, once configured, all it needs is a power supply and a Wi-Fi access point. ESL Firebase Edition V2.0 allows you to operate as many of them as you wish, provided that each has its own unique ID, and there's enough power and bandwidth for all of them. For more information please visit https://github.com/Northstrix/Electronic-Shelf-Label-Firebase-Edition You can find the tutorial on V2.0: https://www.instructables.com/DIY-IoT-Electronic-Shelf-Label-With-Google-Firebas-1/ V1.0: https://www.instructables.com/DIY-IoT-Electronic-Shelf-Label-With-Google-Firebas/ The desktop app is made with the help of the ChatGPT. -
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ADB Sync
Synchronize files between a PC and Android device using ADB
...It simplifies the process of transferring and mirroring directories without requiring root access or complex configuration. By comparing file states between the host and the device, adb-sync efficiently updates only changed files, reducing transfer time and bandwidth usage. The tool also supports reverse synchronization, allowing users to copy data from an Android device back to their PC. While this project has been deprecated in favor of better-adb-sync, it remains a lightweight and effective option for managing file transfers and backups over USB debugging connections. -
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Alphafold
Open source code for AlphaFold
...The total download size for the full databases is around 415 GB and the total size when unzipped is 2.2 TB. Please make sure you have a large enough hard drive space, bandwidth and time to download. We recommend using an SSD for better genetic search performance. -
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Twitch Drops Miner
An app that allows you to AFK mine timed Twitch drops
TwitchDropsMiner is a desktop application that automates earning timed Twitch Drops by simulating “watch” activity without actually streaming video, letting users collect rewards while saving bandwidth and attention. It works by periodically fetching stream metadata to advance Drops progress, while maintaining a websocket connection to monitor which channels are online, offline, or changing status. The app is designed to reduce manual babysitting by switching channels automatically when a stream goes offline or when a higher-priority opportunity becomes available. ... -
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Diems - CodeShine
Web application for posting, submitting, and evaluating assignments
CodeShine (a part of Di website) - is an application for posting, submitting, and evaluating assignments. As a whole, 'Di' is a shorthand for Deogiri Institute of Engineering and Management Studies, Aurangabad 431001, Maharashtra, India. -
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Bandwidth
Monitor monthly internet Transmit and Receive bandwidth usage - Linux
...Equally, we didn't have the foresight or the money to purchase an snmp managed router, so we are unable to strip the traffic information from the router itself, rather we have to rely on the logging into our ISP, to discover if we are approaching the bandwidth limit. Bandwidth logger, runs a daemon that notes how much traffic is passing through your network interface. Bandwidth logger was written to install on a system using 'systemd' but can be configured to run under 'upstart'. An upstart script "/usr/share/bandwidth/bandwidth.upstart.conf" is included but will have to installed manually for those using 'upstart'. -
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VoiceFixer
General Speech Restoration
VoiceFixer is a machine-learning framework for “speech restoration”: given a degraded or distorted audio recording — with noise, clipping, low sampling rate, reverberation, or other artifacts — it attempts to recover high-fidelity, clean speech. The architecture works in two stages: first an analysis stage that tries to extract “clean” intermediate features from the noisy audio (e.g. removing noise, denoising, dereverberation, upsampling), and then a neural vocoder-based synthesis stage that...
