skream
skream copied to clipboard
Skream is a high-performance time-series library with memory-footprint guarantees.
The example below computes quantiles for randomly shuffled numbers in the range 0..1000. The 10% and 90% quantiles don't look good. By contrast the this Java library https://github.com/mayconbordin/streaminer gives reasonably...
Find a dataset with an authoritative answer.
Check whether memoizing the get-new-_math_ functions in the Skreams themselves (metadata again?) helps performance.
Implement a persistent store for session information, so Skreams survive a bounce of the REST server. Maybe into Redis?