aidlearning/AidLearning-FrameWork
🔥🔥🔥AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high performance acceleration...Linux on Android or HarmonyOS observed · 2026-08-28
Health v2 · maintenance only
70/100
- Activity 75
- Release rhythm 45
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2693
- days_rel: 154
- days_push: 153
- n_releases_24m: 1
Adoption not part of the score
5797 stars · 720 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
AidLux (originally AidLearning) is an AIoT development platform that runs a native Ubuntu Linux environment with GUI, deep learning tooling, and a visual IDE directly on Android, HarmonyOS, and HyperOS devices without virtualization. It provides an SDK (AidLite) for scheduling CPU+GPU+NPU inference, supports on-device deployment of hundreds of LLM/VLM/VLA models, and bundles tools like a Python IDE, terminal, ROS2, and generative AI serving.
Use cases
- run large language models locally on an android phone
- develop and deploy ai models on mobile edge devices
- get a full ubuntu linux desktop on android without root or dual boot
- accelerate deep learning inference using phone npu and gpu
- build robotics applications with ros2 on android hardware
- write and run python ai code on a tablet or phone
- serve rag or generative ai endpoints from a mobile device
- prototype aiot applications combining android sensors and linux ai tools
When to choose
- you need on-device llm or vision model inference on arm android hardware with npu acceleration
- you want a linux development environment coexisting with android without a vm or reboot
- you are building robotics or embodied ai prototypes on phones, tablets, or arm dev boards
- you want quantized model deployment (int4/int8/fp16) optimized for qualcomm snapdragon chips
When to avoid
- you need a general-purpose linux server or cloud deployment rather than android/arm edge devices
- your project targets x86 desktops, ios, or non-arm platforms
- you require a lightweight python library to import into an existing codebase instead of a full platform
- you depend on standard apache-2.0 licensing clarity, since the repo license is not clearly specified
Facets
framework · maturity active
machine-learning deep-learning llm-inference computer-vision robotics developer-tools terminal-ui gui sdk self-hosted streaming chatbot rag stable-diffusion gpu-computing embedded iot speech-recognition tts image-processing video-processing audio-processing nlp agent-framework mcp prompt-engineering llm-training transformers data-science data-visualization etl web-scraping workflow-automation scheduling webhook api-framework http-server http-client websocket rpc middleware routing templating static-site-generator ssr frontend-framework ui-components css-framework animation state-management form-handling mobile-framework desktop-framework cli editor browser-extension file-upload file-system compression concurrency error-handling internationalization date-time math plugin-system documentation markdown pdf email json yaml csv security cryptography networking p2p blockchain game-engine game graphics simulation cloud serverless container-runtime container-orchestration infrastructure-as-code deployment microservices api-gateway service-discovery secrets-management feature-flags configuration-management monitoring alerting tracing logging testing e2e-testing mocking fuzzing benchmarking rate-limiting web-framework graphql graphql-client object-storage analytics trading ocr geospatial charts pdf-viewer backup proxy load-testing accessibility theme chat-interface version-control code-review dependency-audit api-documentation mock-api data-generation auth authorization orm database-driver database vector-database search-engine caching message-queue serialization parser compiler interpreter programming-language type-system linter formatter build-tool package-manager ci-cd vpn privacy penetration-testing vulnerability-scanning osint reverse-engineering ssh wasm reinforcement-learning artificial-intelligence machine-learning deep-learning large-language-models chatbots speech-processing computer-vision image-processing data-science data-visualization databases analytics big-data web-development frontend backend mobile-development desktop-applications browser-extensions web-design graphics cloud-computing infrastructure-as-code microservices monitoring networking security penetration-testing osint reverse-engineering blockchain fintech e-commerce iot robotics autonomous-vehicles simulation bioinformatics healthcare education developer-tools text-editors version-control compilers programming-languages parsers apis documentation testing performance self-hosted operating-systems embedded-systems gpu-computing email messaging-platforms social-media media photography cms weather travel food gaming-tools entertainment sports accessibility crawlers files pdf spreadsheets windows apple-ecosystem android-tools privacy censorship-circumvention e-government legal real-estate hr erp logistics agriculture energy astronomy chemistry mathematics quantum-computing reinforcement-learning time-series graph-processing cross-platform hardware awesome-lists tutorials python cli cross-platform self-hosted cloud embedded iot editor-plugin browser bun wasm serverless jvm dotnet php ruby go rust cpp c lua elixir jvm-scripting game-engine browser-extension mac-catalyst windows bsd aiot android-linux linux-on-android edge-ai on-device-ai mobile-ai-development ubuntu-on-android harmonyos hyperos npu-acceleration qualcomm-qnn aidlite-sdk ros2 ros moveit2 gazebo vscode jupyter xfce ubuntu-desktop arm64 fusion-architecture no-vm dual-ecosystem android-api-access touch-bar-terminal app-center aidgen aidstream aidcode aidterminal rhino-pi edge-computing int8-quantization int4-quantization fp16 vlm vla openclaw qwen phi3 deepseek embodied-ai lidar robot-arm usb-camera http-inference-service web-remote-access nginx filebrowser embedded-boards single-board-computer snapdragon cpu-gpu-npu heterogeneous-computing low-power-inference python-ide interactive-terminal android-storage-mapping sdcard-mount usb-storage-mount startup-scripts systemd enterprise-boards ai-box developer-platform one-stop-ai-development mobile-desktop-environment linux-container proot-like chroot-like android-app apk-installer camera-sensors gps-sensors opencv python-for-android py2apk android-hacking opencl tflite aios macos-on-android ai-agents retrieval-augmented-generation video audio natural-language-processing data-engineering search game-development minecraft devops containers cryptocurrency command-line algorithms automation messaging maps localization real-time android linux desktop mobile web-server docker gpu nodejs deno electron tauri kubernetes swift wechat discord telegram macos ios
3 sources
- readme: https://github.com/aidlearning/AidLearning-FrameWork · fetched 2026-08-28 · 36e54899f3be
- homepage: https://docs.aidlux.com · fetched 2026-08-29 · 848601fc9e4f
- site_page: https://docs.aidlux.com/faq · fetched 2026-08-29 · 0bfc86485e20
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| aidlearning/AidLearning-FrameWork | main | 70 |
For agents
markdown · JSON · MCP: product_card(name="aidlearning/AidLearning-FrameWork")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem