Back in early April, we had launched the Generative AI Open Source (GenOS) Index to track the top open source projects related to Generative AI and LLMs. Since then, we published a second edition of the GenOS Index that reflected the frenetic pace of innovation in the Generative AI space. This month, we are back with the latest edition of the GenOS Index - the May edition - showcasing the fastest growing open source projects in Generative AI between the end of February and the end of May.
First, a quick refresher on the methodology. Every month, we identify the top 30 open source projects in Generative AI as ranked by GitHub star growth (adds) in the preceding 90 days, with 500-star adds being the minimum for a project to be considered. Furthermore, we categorize the projects into three categories - Models, Infrastructure/Tooling and Applications - to provide visibility into how different parts of the Generative AI ecosystem are evolving.
The key takeaways from this month’s GenOS Index are as below.
In contrast to the April edition, when the GenOS Index (the top 30 list) had a whopping 18 new entrants, this month it has only 5 - PrivateGPT, Bark, Text Generation Web UI, Chatbox, and Chatbot for PDF. Additionally, there has been very little movement at the top of the list - Auto-GPT continues to crush it at the very top - while the top 5 projects this month were ranked almost similarly last month as shown below.
All in all, it feels that we are seeing some early signs of stability among the top 30 projects, with the fastest growing projects growing even faster and making it harder for the new entrants to break in.
In this month’s Index, Microsoft showed up prominently in the Infrastructure/Tooling category, with two projects ranked in the top 30 and two more among the top 45:
While Microsoft has been on the forefront of all things AI for a while now, this month’s GenOS Index showcased several projects from the company that represent a few key pieces of the infrastructure stack needed to make LLMs mainstream and integrate into regular apps.
Finally, the category makeup - across Models, Infrastructure/Tooling and Applications - for the top 30 projects continues to hold steady with at least 80% of the projects being in the Models and Infrastructure/Tooling categories. The relatively lighter representation of projects in the Application category likely reflects the fact that the open source ecosystem naturally favors projects that are more Model and Infrastructure/Tooling centric.
The list of all top 30 projects in this month’s GenOS Index are as follows:
As we had done in the past, we highlight below a few other really interesting projects that, while not on the GenOS Index this month, have gained significant traction and are anticipated to break into a future edition of the GenOS Index:
That is it for this month - stay tuned for the next monthly installment of the GenOS Index!