To better understand the landscape of available tools for machine learning production, I decided to look up every AI/ML tool I could find. The resources I used include:
Various lists of top AI startups by the media
People (friends, strangers, VCs) share with me their lists
After filtering out applications companies (e.g. companies that use ML to provide business analytics), tools that aren’t being actively developed, and tools that nobody uses, I got 202 tools. See the full list. Please let me know if there are tools you think I should include but aren’t on the list yet!
This list was made in November 2019, and the market must have changed in the last 6 months.
Some tech companies just have a set of tools so large that I can’t enumerate them all. For example, Amazon Web Services offer over 165 fully featured services.
There are many stealth startups that I’m not aware of, and many that died before I heard of them.
This post consists of 6 parts:
I. Overview II. The landscape over time III. The landscape is under-developed IV. Problems facing MLOps V. Open source and open-core VI. Conclusion