Hyper LogLog (native and sliding) cardinality counters
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Updated
Aug 15, 2025 - Python
Hyper LogLog (native and sliding) cardinality counters
PilotScope is a middleware to bridge the gaps of deploying AI4DB (Artificial Intelligence for Databases) algorithms into actual database systems.
Dynatrace hash library for Java
Fast HyperLogLog for Python.
Paper related to AI4DB techniques
Neural Relation Understanding: neural cardinality estimators for tabular data
Implementation of DeepDB: Learn from Data, not from Queries!
State-of-the-art neural cardinality estimators for join queries
Estimating k-mer coverage histogram of genomics data
Paper about the estimation of cardinalities from HyperLogLog sketches
SetSketch: Filling the Gap between MinHash and HyperLogLog
Lightning fast concurrent HyperLogLog for Rust.
A crate for estimating the cardinality of distinct elements in a stream or dataset.
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
A Python library for efficient feature ranking and selection on sparse data sets.
Fast and Memory Efficient Genome Sketching via HyperLogLog, HyperMinHash and UltraLogLog
Fast Cardinality Estimation of Multi-Join Queries Using Sketches
ExaLogLog: Space-Efficient and Practical Approximate Distinct Counting up to the Exa-Scale
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