DataSketches is an open source, high-performance library of stochastic streaming algorithms commonly called "sketches" in the data sciences. Sketches are small, stateful programs that process massive data as a stream and can provide approximate answers, with mathematical guarantees, to computationally difficult queries orders-of-magnitude faster than traditional, exact methods.
Started: 2019-03-30; Last Status Update: 2019-10-29
Reporting: February, May, August, November
All Committers are PPMC members
Mentors: Liang Chen (chenliang613), Kenneth Knowles (kenn), Furkan Kamaci (kamaci), Dave Fisher (wave), Evans Ye (evansye)
2019-03-30 Datasketches enters incubation.
Developer mailing list: http://mail-archives.apache.org/mod_mbox/datasketches-dev
Commits mailing list: http://mail-archives.apache.org/mod_mbox/datasketches-commits
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