Qoma's Seamless for Data Scientists brand of application programming interfaces enables FAME clients to leverage legacy applications and databases with contemporary open source tools. Using Seamless for Data Scientists, analysts access and share FAME data, reports, graphics, and analytic capabilities from web pages using Jupyter notebooks. Developers use their favorite languages, such as Java, Perl, Python or R. Operations exploits the robustness and flexibility of Docker containers that encapsulate the FAME ecosystem expanded by Qoma.