Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
Open-Source Web UI for managing Apache Kafka clusters
Fancy stream processing made operationally mundane
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
π Online machine learning in 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.
π¦ event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Utils for streaming large files (S3, HDFS, gzip, bz2...)
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
Python Stream Processing
Stream Processing and Complex Event Processing Engine
Python Streaming DataFrames for Kafka
Real-time stream processing for python
β‘ Single-pass algorithms for statistics
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
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