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Roadmap

This roadmap should give you an idea of the features we will work on in the future.

If you find any feature highly relevant for you, please let us know: hello@lmrt.fyi.

LMRTFY Library

Annotation

  • annotate resources in your code, e.g. big data sets

  • support for more languages (help us prioritize with your feedback):

    • JavaScript
    • R
    • Matlab
    • C++
    • Julia
    • ...
  • create runners with decorator

Catalog (calling cloud functions like native ones)

  • support for more languages (see above)
  • enhance job and results handling (async handling, context)

LMRTFY CLI tool

  • cloud deployment via lmrtfy deploy

    • deploy to one of the big cloud service providers (AWS, Azure, GCP, ...)
    • deploy to your own servers (private cloud)
  • deploy jupyter notebooks

LMRTFY web application

  • accounting system for deployed functions (monetize your functions)
  • overview of your functions
  • manage functions
  • see available runners
  • sharing functions with others
  • functions activity graph