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FeatHub

Stream-batch unified open-source feature store for real-time machine learning.

PlatformWebfree

FeatHub is an open-source feature store that unifies stream and batch feature computation for ML, letting engineers define features once in a Python SDK and compile them into distributed jobs on Apache Flink or Spark. It's aimed at ML/data engineering teams building real-time feature pipelines who want to avoid rewriting Python logic into separate stream and batch processing code.

Categories
feature storemlopsstream processing

Full match profile

Behind the summary, Matchbox keeps a richer profile of FeatHub - the signals our matcher actually reads to decide when to surface it. It stays private; claim the listing to see and control it.

  • Problem & pain-point mapping
  • Who we surface it to (audience fit)
  • What it's a strong alternative to
  • Trust & credibility signals

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