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Tags: Data pipelines and messaging
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1–23 of 23 · Most stars

GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more

  • go
  • golang
  • data-structure
  • map

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.

A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others

  • java
  • bitset
  • roaring-bitmaps
  • roaringbitmap

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.

Data structure and algorithm library for go, designed to provide functions similar to C++ STL

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

A set of open-source .NET libraries helping with DDD (domain-driven design) and CQRS (command query responsibility segregation).

hypermatch is a high-performance ⚡ Go library designed for rapid matching of a large number of rules to events. It processes thousands of events per second 🚀 against extensive rule sets in-memory with minimal latency ⏱️.

  • go
  • golang
  • matching
  • matching-engine

Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3

  • kmeans
  • kmeans-clustering
  • clustering
  • gap-statistic