alibaba/AliOS-Things

Name: AliOS-Things

Owner: Alibaba

Description: AliOS Things released by Alibaba is an open-source implementation of operating system (OS) for Internet of Things (IoT).

Created: 2017-08-30 09:58:27.0

Updated: 2018-05-24 15:08:56.0

Pushed: 2018-05-24 16:34:17.0

Homepage: http://aliosthings.io

Size: 233965

Language: C

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README

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AliOS Things is Alibaba's IoT version of AliOS Family, it was announced in The Computing Conference 2017 in Hangzhou by Alibaba Cloud, and open sourced in 20th, October, 2017 at github:https://github.com/alibaba/AliOS-Things.

Architecture Overview

From an architectural point of view, AliOS Things adapts Layered Architecture and Component Architecture. From bottom to top, AliOS Things includes:

All modules have been organized as Components, and each component has its own .mk file to describe its dependency with other Components, which enables applications to choose components needed easily.

Documentation

AliOS Things' documentation are mainly hosted at Github Wiki.

How to contribute

Please refer to Contributing Guideline.

Quick Start by Command Line using Ubuntu Machine
p install aos-cube
t clone https://github.com/alibaba/AliOS-Things.git
 AliOS-Things
s make helloworld@linuxhost
out/helloworld@linuxhost/binary/helloworld@linuxhost.elf
Quick Start by IDE(supporting Windows/MAC/Linux)

Please refer to AliOS Things Application Develop Guide.

Community

License

AliOS Things is released under the Apache 2.0 license.

Copyright 2015-2017 Alibaba Group Holding Ltd.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at following link.

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.