#The rtemis ecosystem

- powerful, low-code APIs: high-level functions with complete controls of the entire data pipeline.
- no-code web applications: interactive, user-friendly interfaces.
- Machine learning algorithm development.
- Applied data science, with emphasis on biomedical basic research, clinical predictive modeling, and public health.
- Health Data Science education.
#APIs
- rtemis: ML & visualization API in R.
- rtemis-py: ML & visualization API in Python. (currently private)
- rtemis.jl: ML & visualization API in Julia. (currently private)
- rtemisbio: Bioinformatics extension in R.
- kaimana-r: API access to state-of-the-art open source LLMs in R. (currently private)
- kaimana-py: API access to state-of-the-art open source LLMs in Python. (currently private)
#Web applications
- rtemislive: Web application for ML & visualization. (currently private; deployed at UCSF)
- rtemisSeq: Interactive protein sequence visualization.
- rtemisXt: Interactive time-series data visualization.
- kaimana: AI Agent Chatbot using state-of-the-art open source LLMs. (currently private)
#Online books
- Programming for Data Science in R: Beginner- to intermediate-level resource for R programming. Used in UCSF Biostat 213 & 214, among others.
- Programming for Data Science in Python: Python version (work in progress).
- Programming for Data Science in Julia: Julia version (work in progress).
#GenLib
GenLib is a project using kaimana to create AI-generated educational material.#Screenshots
Some screenshots from rtemislive, the Web UI for rtemis:Loading gallery...