sryza/spark-timeseries

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1196 stars · 414 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Scala/Java/Python library for time series analysis on Apache Spark, providing distributed abstractions for large time series datasets plus statistical models and tests. It is no longer under active development, though pull requests are still reviewed.

Use cases

• analyze large time series datasets on spark
• distributed time series forecasting
• manipulate time series data at scale like pandas
• fit statistical time series models on spark
• work with time series in scala or python on spark

When to choose

• you need pandas-like time series operations on massive datasets in Spark
• you want statistical time series models (ARIMA-style) running distributed on a Spark cluster
• you're already invested in the JVM/Spark ecosystem and need time series abstractions

When to avoid

• you need actively maintained software with bug fixes and new features
• your time series data fits in memory on a single machine - use pandas or statsmodels instead
• you want modern Spark DataFrame-native time series tooling

Facets

library · maturity maintenance

data-science machine-learning math time-series big-data data-science jvm python time-series-analysis apache-spark distributed-computing scala forecasting spark

Member repositories

For agents

markdown · JSON · MCP: product_card(name="sryza/spark-timeseries")