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To the extent that Chinese firms have been slower to contribute directly to open source, it’s easy to see the logic. It would certainly serve to demonstrate a deepening participation.

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It’s promising that Baidu has been a substantial code contributor, for example when they announced late last year that they were open-sourcing their ML platform, PaddlePaddle, under an Apache license.īefore long, we might see the first open source project initiated in China from scratch, possibly related to machine learning in particular. Not surprisingly, Baidu is deeply involved with direct backing for several high-profile initiatives from the Chinese government, most recently the opening of the National Engineering Laboratory of Deep Learning Technology on Baidu’s own campus in Beijing. Why should those areas be of particular interest? As several recent articles point out, China is surging forward as a force in the world of machine learning - especially in deep learning.

The lower rates of contribution from China impact open source projects across the board, but let’s consider the areas of machine learning and AI. It’s possible that the tide is beginning to turn, but there looks to be more work to do - especially in the arena of machine learning. Results have been mixed: Chinese developers have yet to be provided with an organic system of incentives for FOSS contribution in the form of recognisable career benefits, social prestige or symbolic payoffs. Instead, it imported a mature model and tried to integrate it through strong top-down support. Unfortunately, those big-banner contributions obscure a deeper trend: In general, open source contributions from China - while impressive - still pale in comparison to contributions from the US and Europe:Ĭhina did not have the benefit of this formative phase.

Giants like Huawei, Baidu, Alibaba, and Tencent have recently contributed significant code around cloud infrastructure and machine learning. When it comes to China’s own contributions to open source projects, things were slow for a time but are beginning to take off. Obviously, that ability is especially key in the high-storage, high-throughput arena of modern China, with its estimated 720 million internet users. We know the number of organizations who use some aspect of open source code is increasing year by year, especially when it comes to the adoption of big data infrastructure that typically outperforms proprietary options.

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Happily, Chinese government agencies and corporations have been leveraging open source for a long time, especially since the mid-2000s when the arrival of Android (and Android’s inclusion of Linux) exposed a generation of developers to open source code - and, just as important, exposed them to the idea that that they could use open source as a foundation to innovate.

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The upshot is that Chinese software developers are playing a larger role in the global world of code, not only at companies like Baidu, Alibaba, and Tencent, but at thousands of smaller tech firms wrestling with transportation, healthcare, energy, e-commerce, and more.Īll that makes this a key moment to look at China and open source.