online-ml/river
🌊 Online machine learning in Python
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🌊 Online machine learning in Python
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Python Stream Processing
Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.
Open-Source Web UI for managing Apache Kafka clusters
Python Streaming DataFrames for Kafka
Real-time stream processing for python
Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.
Open Source Phasor Data Concentrator
Utils for streaming large files (S3, HDFS, gzip, bz2...)
A streaming multimodal database for Edge AI, and Edge Computing.
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
That's all 13 repositories in this period.