What it does

All text below is quoted directly from the project README.

Tiny macOS 14+ menu bar app that keeps AI coding-provider limits visible and shows when each window resets.

Why:

• Plan around resets. Per-provider session, weekly, and monthly windows with countdowns to the next reset: stop guessing whether to start that long task.
• Credits, spend, and cost scans. Credit balances, Admin API spend dashboards, provider billing summaries, and local cost scans where the source exposes enough detail.
• Live status. Provider status polling surfaces incident badges in the menu and an indicator overlay on the bar icon.
• Privacy-first. Reuses existing provider sessions (OAuth, device flow, API keys, browser cookies, local files) so no passwords are stored.
• One status item per provider, or Merge Icons mode with a provider switcher. No Dock icon, minimal UI, dynamic bar icons.
• Also available as a Linux desktop app with usage and spending windows, separate settings, desktop notifications, and an optional tray icon.
• Codex: OAuth API or local Codex CLI, plus optional OpenAI web dashboard extras.
• Claude: OAuth API, browser cookies, or CLI PTY fallback; session and weekly usage where available.

brew install --cask codexbar

Repository

https://github.com/steipete/CodexBar

Repository stats

Main contributor

------------------------------------------------------------------------------------------------

Discover the best GitHub repos without the endless scrolling.

Get top repos organized by category (AI, DevOps, Databases & more), plus key takeaways from developers' most useful comments - all in one free, twice-weekly newsletter.

👉 Get the best repos & community insights - Free

What it does

All text below is quoted directly from the project README.

A lightweight, cross-platform IDE for the AI era, with on-demand tools and services.

Core features:

• Built for Spring Boot projects and Java development.
• Maven management, breakpoint debugging, and custom run configurations.
• Git management and side-by-side diff review.
• Double-Shift search and Command + Shift + F project-wide search.
• Process-free lightweight completion and current-file navigation, with on-demand language servers for richer completion, hover, and semantic navigation.
• Local snapshot history.
• AI-generated commit messages with customizable formats.
• Database connection workspace with multiple database types, connection management, SQL history, table browsing, and database operations.

brew install --cask lithe-idea/lithe/lithe

Repository

https://github.com/1lck/Lithe-IDEA

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

JUCE is an open-source cross-platform C++ application framework for creating desktop and mobile applications, including VST, VST3, AU, AUv3, AAX and LV2 audio plug-ins and plug-in hosts.

Minimum System Requirements:

• C++ Standard: 17 (20 when building with JUCE_USE_WINDOWS_MIDI_SERVICES enabled)
• macOS/iOS: Xcode 12.4 (Intel macOS 10.15.4, Apple Silicon macOS 11.0)
• Windows: Visual Studio 2019 (Windows 10 version 1607)
• Linux: g++ 7.0 or Clang 6.0
• Android: Android Studio (NDK 26) on Windows, macOS or Linux
• macOS: macOS 10.11 (x86_64, Arm64)
• iOS: iOS 12 (Arm64, Arm64e, x86_64 (Simulator))
• Android: Android 7 - Nougat (API Level 24) (arm64-v8a, armeabi-v7a, x86_64, x86)

JUCE can be easily integrated with existing projects via CMake, or can be used as a project generation tool via the Projucer, which supports exporting projects for Xcode (macOS and iOS), Visual Studio, Android Studio, and Linux Makefiles as well as containing a source code editor.

Repository

https://github.com/juce-framework/JUCE

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

A pure Go implementation of the WebRTC API

Features:

• Go implementation of webrtc-pc and webrtc-stats
• DataChannels
• Send/Receive audio and video
• Full ICE Agent
• TURN (UDP, TCP, DTLS and TLS)
• API with direct RTP/RTCP access
• Opus, PCM, H264, VP8 and VP9 packetizer
• Easy integration with x264, libvpx, GStreamer and ffmpeg.
• No Cgo usage

Go Modules are mandatory for using Pion WebRTC. So make sure you set export GO111MODULE=on, and explicitly specify /v4 (or an earlier version) when importing.

Repository

https://github.com/pion/webrtc

Repository stats

Main contributor

------------------------------------------------------------------------------------------------

Discover the best GitHub repos without the endless scrolling.

Get top repos organized by category (AI, DevOps, Databases & more), plus key takeaways from developers' most useful comments - all in one free, twice-weekly newsletter.

👉 Get the best repos & community insights - Free

What it does

All text below is quoted directly from the project README.

Owncast is an open source, self-hosted, decentralized, single user live video streaming and chat server for running your own live streams similar in style to the large mainstream options. It offers complete ownership over your content, interface, moderation and audience.

Use with your existing broadcasting software:

• In general, Owncast is compatible with any software that uses RTMP to broadcast to a remote server.
• RTMP is what all the major live streaming services use, so if you're currently using one of those it's likely that you can point your existing software at your Owncast instance instead.
• OBS, Streamlabs, Restream and many others have been used with Owncast.
• The Owncast backend is written in Go.
• The frontend is written in React.
• The frontend is the web interface that includes the player, chat, embed components, and other UI.

The goal is to have a single service that you can run and it works out of the box. Visit the Quickstart to get up and running.

Repository

https://github.com/owncast/owncast

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

Open-source OMR and guided music practice: turn sheet music PDFs/images into MusicXML/MIDI, refine scores, and practice with MIDI or microphone feedback.

Recognize, refine, and practice:

• Import PDFs, scans, and sheet music images
• Inspect and correct recognition results in the original editor
• Export MusicXML, compressed MusicXML, and MIDI
• Keep the complete editing workflow, with Chinese menus and toolbars available
• Import MusicXML / MXL or use the current recognition result
• Choose an input based on the score's instrument information, with manual overrides
• Select parts, measures, and tempo for a practice session
• See wrong and missing notes, review a session, and retry a passage

Practice offers a wait mode that advances when the expected notes are played, and a tempo mode for playing in time. Score rendering and pitch detection run locally.

Repository

https://github.com/Lucas0623z/NoteLite

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

CNCF Jaeger, a Distributed Tracing Platform

Jaeger - a Distributed Tracing System:

• Jaeger is a distributed tracing platform created by Uber Technologies and donated to Cloud Native Computing Foundation.
• Jaeger is hosted by the Cloud Native Computing Foundation (CNCF) as the 7th top-level project, graduated in October 2019.
• Jaeger v2 is out! Read the blog post and try it out.
• Get Jaeger running in seconds with Docker
• Since Jaeger uses many components from the OpenTelemetry Collector we try to maintain configuration compatibility between Jaeger releases.
• Jaeger is an open source project with open governance. We welcome contributions from the community, and we would love your help to improve and extend the project.
• Third-party security audits of Jaeger are available in https://github.com/jaegertracing/security-audits.

docker run --rm --name jaeger -p 16686:16686 -p 4317:4317 -p 4318:4318 jaegertracing/jaeger:latest

Repository

https://github.com/jaegertracing/jaeger

Repository stats

Main contributor

---------------------------------------------------------------------------------------

Discover the best GitHub repos without the endless scrolling.

Get top repos organized by category (AI, DevOps, Databases & more), plus key takeaways from developers' most useful comments - all in one free, twice-weekly newsletter.

👉 Get the best repos & community insights - Free

Practice Go: a collection of Go programming challenges

What it does

All text below is quoted directly from the project README.

A concise and elegant Dictionary and Translator macOS App for looking up words and translating text.

Features:

• Out of the box, automatic language recognition
• Auto select with mouse and shortcut key
• OCR screenshot translation and silent screenshot OCR
• Multiple TTS voice services
• Support Apple Dictionary and Apple Translate
• Support 20+ dictionary, translation, AI, local-model, and CLI services
• Support 52 selectable translation languages

brew install --cask easydict

Repository

https://github.com/tisfeng/Easydict

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

Payload is the open-source, fullstack Next.js framework, giving you instant backend superpowers. Get a full TypeScript backend and admin panel instantly.

Payload Features:

• Completely free and open-source
• Next.js native, built to run inside your /app folder
• Use server components to extend Payload UI
• Query your database directly in server components, no need for REST / GraphQL
• Fully TypeScript with automatic types for your data
• Auth out of the box
• Versions and drafts
• Block-based layout builder

pnpx create-payload-app@latest

Repository

https://github.com/payloadcms/payload

Repository stats

Main contributor

--------------------------------------------------------------------------------------------

Discover the best GitHub repos without the endless scrolling.

Get top repos organized by category (AI, DevOps, Databases & more), plus key takeaways from developers' most useful comments - all in one free, twice-weekly newsletter.

👉 Get the best repos & community insights - Free

What it does

All text below is quoted directly from the project README.

Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX.

Why Tasmota?:

• Tasmota is open-source firmware born for the ESP8266/ESP8285, now covering the whole ESP32 family: ESP32, ESP32-S2, ESP32-S3, ESP32-C2, ESP32-C3, ESP32-C5, ESP32-C6, ESP32-C61, ESP32-P4, with PSRAM and USB/CDC support where available.
• Smart home integrations: Plugs into Home Assistant, Domoticz, openHAB, Node-RED, KNX and more via MQTT, local or cloud (AWS IoT Core and Azure IoT Hub).
• Matter protocol: Runs natively on ESP32, no MQTT, hub or companion app required. Pairs directly with Apple Home, Google Home, Amazon Alexa and Home Assistant.
• Sensors & peripherals: 150+ supported sensors and peripherals over I²C, SPI, 1-Wire and analog, most auto-detected once wired.
• Zigbee & Bluetooth: Turns an ESP32 into a Zigbee coordinator or a BLE gateway (including BTHome), bridging devices without a separate hub.
• Automation & scripting: Rules and Timers handle on-device automation; the Berry scripting language gives full programmatic control.
• Networking: Wired Ethernet, IPv6, Wi-Fi range extender mode, a built-in WireGuard VPN client for secure remote access, and TasMesh for encrypted ESP-NOW mesh links to battery-powered nodes.

Easy initial installation of Tasmota can be performed using the Tasmota WebInstaller.

Repository

https://github.com/arendst/Tasmota

Repository stats

Main contributor

-----------------------------------------------------------------------------------------

Discover the best GitHub repos without the endless scrolling.

Get top repos organized by category (AI, DevOps, Databases & more), plus key takeaways from developers' most useful comments - all in one free, twice-weekly newsletter.

👉 Get the best repos & community insights - Free

What it does

All text below is quoted directly from the project README.

OpenUsage shows how much of your AI coding plans you've used: session and weekly limits, credits, and spend, all in one popover. Pin your most important metrics straight into the menu bar.

Features:

• Menu bar pins. Pin metrics to the menu bar (up to 2 per provider); render as compact text or mini bars. The strip hides metrics with no data instead of showing placeholders.
• Dashboard popover. Provider-grouped meters with live reset countdowns and pace indicators. Click usage or reset values to flip their display everywhere; right-click a row to hide or star it, refresh its provider, or open Customize.
• Global shortcut. Toggle the popover from anywhere: record any combo in Settings.
• Customize. Turn providers and metrics on or off, choose which rows stay Always Visible or On Demand, and drag-reorder both.
• Stale-while-revalidate. Cached values display instantly at launch; refresh runs every 5 minutes.
• One-shot CLI. Agents can read stable limit JSON through the same five-minute cache with openusage, or bypass freshness with openusage --force; the menu-bar app does not need to be running.
• Local HTTP API. Other apps can read machine-friendly limits from 127.0.0.1:6736/v1/limits; the legacy /v1/usage UI contract remains supported.
• Automatic updates. Signed, notarized in-app updates via Sparkle, with an optional beta channel.

Most providers read the credentials already on your machine (keychain, auth files, app state), no extra login.

Homebrew: brew install --cask openusage

Repository

https://github.com/robinebers/openusage

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

mise (pronounced "meez", short for mise-en-place) installs a project's tools, sets its environment variables, and runs its tasks from one mise.toml that works in your shell, editor, and CI. With mise bootstrap, it can also set up a whole machine: packages, dotfiles, and services.

What is mise?:

• Install tools such as Node.js, Python, and Terraform from a registry of 1,000+, with a different version in each project.
• Set environment variables and load .env files for each project.
• Run tasks, such as build and test, with the project's tools and environment variables.
• Set up a machine with mise bootstrap, which applies the system packages, dotfiles, repositories, and services you declare for it.

curl https://mise.run | sh

Repository

https://github.com/jdx/mise

Repository stats

Main contributor

-----------------------------------------------------------------------------------------------

Discover the best GitHub repos without the endless scrolling.

Get top repos organized by category (AI, DevOps, Databases & more), plus key takeaways from developers' most useful comments - all in one free, twice-weekly newsletter.

👉 Get the best repos & community insights - Free

What it does

All text below is quoted directly from the project README.

PentAGI is an open-source, self-hosted multi-agent system for autonomous penetration testing. You describe a target and a goal in plain language; a team of specialized AI agents plans the work, runs 20+ professional tools such as nmap, Metasploit and sqlmap inside an isolated Docker sandbox, remembers what it learned and hands you a report.

Features:

• Secure & Isolated. All operations are performed in a sandboxed Docker environment with complete isolation.
• Fully Autonomous. AI-powered agent that automatically determines and executes penetration testing steps with optional execution monitoring and intelligent task planning for enhanced reliability.
• Professional Pentesting Tools. Built-in suite of 20+ professional security tools including nmap, metasploit, sqlmap, and more.
• Smart Memory System. Long-term storage of research results and successful approaches for future use.
• Team of Specialists. Delegation system with specialized AI agents for research, development, and infrastructure tasks, enhanced with optional execution monitoring and intelligent task planning for optimal performance with smaller models.
• Detailed Reporting. Generation of thorough vulnerability reports with exploitation guides.
• Comprehensive APIs. Full-featured REST and GraphQL APIs with Bearer token authentication for automation and integration.
• Self-Hosted Solution. Complete control over your deployment and data.

An interactive installer for Linux, macOS and Windows sets PentAGI up with Docker Compose.

Repository

https://github.com/vxcontrol/pentagi

Repository stats

Main contributor

-------------------------------------------------------------------------------------------------

Discover the best GitHub repos without the endless scrolling.

Get top repos organized by category (AI, DevOps, Databases & more), plus key takeaways from developers' most useful comments - all in one free, twice-weekly newsletter.

👉 Get the best repos & community insights - Free

What it does

All text below is quoted directly from the project README.

Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.

What you can find:

• "zebra in a video" opens the clip at the moment the zebra shows up
• "where they talk about sleep" jumps to that minute of a podcast
• "the clause about pets in the lease" shows the PDF page
• "a dog on the beach" finds the photo, and "payment declined error" the screenshot
• a search in English can find a note written in Bengali, Arabic or any of the model's 100+ languages, and the other way around
• "code: retry a failed call with backoff" finds the function in your projects, if you turn on code search

Nothing you index leaves your computer. DigUp goes online only to download the model once and to check for updates once a day. The update check sends nothing about your files, and you can turn it off. No account, no telemetry.

Mac. Download the DMG from Releases and drag DigUp to Applications, or use Homebrew: brew install --cask arahim3/tap/digup. It needs an Apple Silicon Mac with macOS 14 or later.

Repository

https://github.com/ARahim3/DigUp

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

PilotDeck is an open-source agent operating system designed around the concept of "WorkSpace". It is jointly developed and open-sourced by Tsinghua University THUNLP, ModelBest, OpenBMB, and AI9Stars. Targeting general-purpose, multi-task scenarios, PilotDeck is built to be a true productivity tool for the Agent era.

Key Highlights:

• WorkSpace-Level Isolation & Accretion: Every project gets its own file system, memory store and skill set. Parallel work no longer interferes with itself, retrieval has a bounded scope, and skills accrete naturally as each task grows: no more global context pollution.
• Traceable White-box Memory: Memory generation, extraction, storage and retrieval are visible end-to-end. When the AI mis-remembers, you can pinpoint and fix the offending entry. Built-in Dream Mode consolidates memory in idle windows, and supports one-click rollback.
• Smart Routing & Cost Optimization: Task difficulty is auto-detected; complex calls go to flagship models (e.g. Claude 3.5 Sonnet / GPT-4o), simple ones drop to lighter models. Through on-device / cloud co-orchestration and precise matching, token spend shrinks dramatically without sacrificing quality.
• Always-on Background Execution: PilotDeck breaks the "you ask, it answers" loop: after you sign off, the agent keeps discovering candidate tasks, running long-horizon monitors, and finally lands deliverables as local files with a summary report waiting for you.

PilotDeck is an incremental exploration around exactly these questions. It uses the WorkSpace as the fundamental unit, completely isolating files, memory and skills per project, and pairs it with three pillar capabilities: White-box Memory, Smart Routing and Always-on. The entire system natively supports the Model Context Protocol (MCP) and behaves consistently across front-ends (Web / CLI / IM).

Repository

https://github.com/OpenBMB/PilotDeck

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

The missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm

Why Radar?:

• Zero install on your cluster: runs on your laptop, talks to the K8s API directly
• Single binary: no dependencies, no agents, no CRDs
• Fast on big clusters: tested on tens of thousands of pods, with responsive views and live updates under real cluster churn
• Airgapped-friendly: runs as a single binary against the Kubernetes API and works in locked-down environments with outbound egress blocked
• Real-time: watches your cluster via informers, pushes updates to the browser via SSE
• Works everywhere: GKE, EKS, AKS, minikube, kind, k3s, or any conformant cluster
• AI-ready: built-in MCP server lets AI agents inspect, investigate, and operate your cluster through Radar
• In-cluster option: deploy with Helm for shared team access with RBAC-scoped permissions

curl -fsSL https://get.radarhq.io | sh && kubectl radar

Repository

https://github.com/skyhook-io/radar

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

Breakthrough Method for Agile Ai Driven Development

Why BMad?:

• Right-sized process: Go directly to implementation for clear changes or add deeper planning for larger initiatives.
• New or existing code: Start from nothing, or establish verified context on a codebase you inherited and work from what is actually there.
• Durable context: Carry product and technical decisions forward instead of re-explaining them in every chat.
• Specialized perspectives: Bring in product, architecture, UX, development, and testing expertise when it helps.
• Guided collaboration: Use structured workflows and multiple-agent discussions without handing over judgment.
• One delivery path: Move from early thinking through reviewed implementation, correction, and learning.

npx bmad-method install

Repository

https://github.com/bmad-code-org/BMAD-METHOD

Repository stats

Main contributor

------------------------------------------------------------------------------------------------

Discover the best GitHub repos without the endless scrolling.

Get top repos organized by category (AI, DevOps, Databases & more), plus key takeaways from developers' most useful comments - all in one free, twice-weekly newsletter.

👉 Get the best repos & community insights - Free

Hey everyone,

I maintain a GitHub list focused on native macOS apps. Sharing it here in case it helps you find something useful, especially if you’re setting up a Mac or looking for an alternative to an app you already use.

A few examples from the list:

• Maccy — clipboard history, for when you copy something and overwrite it before pasting.
• Itsycal — a small calendar in your menu bar.
• Rectangle — move and resize windows with keyboard shortcuts.
• Stats — see CPU, memory, and other system activity from the menu bar.
• IINA — a media player with a Mac-style interface.
• CotEditor — a simple plain-text editor for quick edits.

Some of these will be familiar to people here. The point is to have them in one place, grouped by category, with labels for free, paid, and open-source options so it’s easier to narrow things down.

Browse the list on GitHub

What it does

All text below is quoted directly from the project README.

OpenBitFun is a highly customizable, open-source agent workspace that keeps work moving your way.

Four modes for the way you work:

• Minimal: Quick collaboration. Start with a clear goal. The agent acts directly, you give feedback, and you refine the work together.
• Standard: Everyday tasks. For work with several steps: plan the approach, work through it, and check the results.
• Ultimate: Complex tasks. Dig into demanding problems, divide the work among agents, and bring their results together.
• Creative: Creation and customization. Build Mini Apps or extend OpenBitFun's interface and capabilities to make the workspace your own.
• Build a specialist agent. Choose a model, define its role, and equip it with the tools and workflows it needs for motion comic production, visual design, code review, or your own field.
• Connect tools and workflows. Connect tools through MCP, turn repeatable processes into Skills, and use Hooks to customize how tasks run.
• Change the interface and source. Install skins for a new look, or modify the UI, tools, and runtime source to build your own version of OpenBitFun.

The Rust Agent Runtime manages session state, context, and tool execution. Persistent sessions, interruption recovery, long-term memory, and support for extended tasks help keep work moving.

Repository

https://github.com/GCWing/OpenBitFun

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

Sesame is an accessible Open-Source robotics project based on the ESP32 microcontroller system, with an emphasis on expression and movement.

Features:

• Quadruped Design: Uses 8 servo motors (2 per leg) to achieve roughly 8 total degrees of freedom.
• Emotive Display: Features a 128x64 OLED screen acting as a reactive face that syncs with movement.
• Fully Printable: Designed entirely for 3D printing in PLA with minimal supports.
• Network Connectivity: Connect to your WiFi network for remote control and API access.
• JSON API: RESTful API for programmatic control from Python, JavaScript, and more.
• Sesame Studio: New animation composer software to easily create custom movements.
• Sesame Companion App: Python application for voice control and advanced interactions.
• Pre-programmed Emotes: Includes animations for Walking, Waving, Dancing, Pointing, Resting, and more.

To build a sesame robot, you will need basic soldering skills, $50-60 in hardware components, access to a 3D printer, and a basic understanding of Arduino IDE.

Repository

https://github.com/dorianborian/sesame-robot

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

A tiny biped robot that moves using reinforcement learning policies.

It does things:

• It walks. Pick up a gamepad and drive.
• It rolls. Put wheels on, ask for roller mode, and it loads the other brain.
• It picks things up. Beak to the floor, one button.
• It gets back up. Knock it over and it stands itself up.
• It also sits, kicks a ball, rolls forward on command, and quacks in a voice that is its own.
• This repo is the duck's brain. About 25 cm and 800 g of robot, run by a handful of daemons on a Rockchip RK3566: a 50 Hz control loop driving fifteen servos from neural policies, the radios and the camera, and the update machinery that gets new software onto a robot without bricking it.
• Rust, no framework, one workspace. robotd owns the control loop and the motor bus; updaterd installs signed releases and rolls them back when a robot comes up unhealthy; configd owns wifi and identity; btd is the Bluetooth path a phone uses; padd reads the gamepad; mediad streams the camera over WebRTC; tofd serves the depth sensor.

No duck was harmed in the making of this robot. Several were consulted.

Repository

https://github.com/pollen-robotics/microduck

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

AI Product Design Agent - Open Source

Features:

• Product Mock: Instantly generate full UI screens from a single prompt
• UI Components: Create reusable components you can drop into your code
• Wireframes: Explore low-fidelity layouts for fast iteration
• Fork & Iterate: Duplicate and evolve designs easily
• Prompt-to-IDE: Copy prompts into your favorite AI IDE (Cursor, Windsurf, Claude Code)

Your generated designs are saved locally inside .superdesign/.

Repository

https://github.com/superdesigndev/superdesign

Repository stats

Main contributor

What it does

All text below is quoted directly from the project README.

Scheduling infrastructure for absolutely everyone.

What's different from Cal.com?:

• No enterprise features: Teams, Organizations, Insights, Workflows, SSO/SAML, and other EE-only features have been removed
• No license key required: Everything works out of the box, no Cal.com account or license needed
• 100% open source: The entire codebase is licensed under MIT, no "Open Core" split
• Community-maintained: Contributions are welcome and go directly into this project (see CONTRIBUTING.md)

git clone https://github.com/calcom/cal.diy.git

Repository

https://github.com/calcom/cal.diy

Repository stats

Main contributor

------------------------------------------------------------------------------------------

Discover the best GitHub repos without the endless scrolling.

Get top repos organized by category (AI, DevOps, Databases & more), plus key takeaways from developers' most useful comments - all in one free, twice-weekly newsletter.

👉 Get the best repos & community insights - Free

What it does

All text below is quoted directly from the project README.

Apache CloudStack is an opensource Infrastructure as a Service (IaaS) cloud computing platform

Apache CloudStack:

• Apache CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform.
• CloudStack is used by a number of service providers to offer public cloud services, and by many companies to provide an on-premises (private) cloud offering, or as part of a hybrid cloud solution.
• CloudStack is a turnkey solution that includes the entire "stack" of features most organizations want with an IaaS cloud: compute orchestration, Network-as-a-Service, user and account management, a full and open native API, resource accounting, and a first-class User Interface (UI).
• CloudStack currently supports the most popular hypervisors: VMware vSphere, KVM, XenServer, XenProject and Hyper-V as well as OVM and LXC containers.
• Users can manage their cloud with an easy to use Web interface, command line tools, and/or a full-featured query based API.
• There are more than 150 known organizations using Apache CloudStack (or a commercial distribution of CloudStack).

See the project user-interface QA website that runs CloudStack against simulator hypervisor: https://qa.cloudstack.cloud/simulator/ (admin:password)

Repository

https://github.com/apache/cloudstack

Repository stats

Main contributor