marsupialtail/quokka
Making data lake work for time series observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1749
- days_rel: n/a
- days_push: 743
- n_releases_24m: 0
Adoption not part of the score
1192 stars · 63 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Quokka is a lightweight distributed dataflow/query engine written in Python, built on Ray, DuckDB, Polars, and Arrow, designed for stateful and windowed computation over large time series datasets in data lakes. It offers a Polars-inspired DataStream API plus SQL support, outperforming SparkSQL on many SQL workloads over cloud storage.
Use cases
- run distributed SQL queries over parquet and csv files in a data lake
- backtest trading strategies against years of tick-level market data
- perform complex windowed and asof joins on terabytes of time series data
- apply machine learning models inside distributed data pipelines
- do feature engineering across thousands of columns at scale
- replace SparkSQL with a faster Python-native query engine
- process streaming clickstream data with incremental algorithms
When to choose
- you need distributed time series analytics with complex windows, asof joins, or pattern matching
- you want a Python-native alternative to Spark with a Polars-like API
- you run SQL workloads over cloud object storage and need better performance than SparkSQL
- you want to embed PyTorch or scikit-learn transformations inside a distributed pipeline
When to avoid
- you need a mature, battle-tested engine with a large community like Spark or Flink
- your datasets are small enough for pandas, Polars, or DuckDB on a single machine
- you need full compatibility with the latest Polars API
- you require streaming ingestion of live real-time data rather than historical batch analysis
Facets
library · maturity active
etl streaming data-science big-data data-science time-series analytics python cloud data-lake-analytics distributed-query-engine datastream-api polars-inspired ray-based time-series-analytics sql-engine mlops query-engine distributed-computing data-engineering docker
2 sources
- readme: https://github.com/marsupialtail/quokka · fetched 2026-08-28 · 5cc9bd7cb21c
- homepage: https://marsupialtail.github.io/quokka/ · fetched 2026-08-29 · aeb246f0fc9f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| marsupialtail/quokka | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="marsupialtail/quokka")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem