A curated list of awesome big data frameworks, ressources and other awesomeness.

Open-Source Web UI for Apache Kafka Management

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

Fancy stream processing made operationally mundane

The Cloud Operational Data Store: use SQL to transform, deliver, and act on fast-changing data.

🌊 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.

Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.

Utils for streaming large files (S3, HDFS, gzip, bz2...)

Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.

Pravega - Streaming as a new software defined storage primitive

A lightweight stream processing library for Go

Python Stream Processing

Python stream processing for Kafka

Trill is a single-node query processor for temporal or streaming data.

Real-time stream processing for python

📐 Pushing the boundaries of simplicity

⚡ Single-pass algorithms for statistics

A machine learning package for streaming data in Python. The other ancestor of River.

HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.