# twosigma/flint

A Time Series Library for Apache Spark

Repository: https://github.com/twosigma/flint
Canonical: https://ross.abutalabs.com/products/twosigma-flint
Language: Scala
License: Apache-2.0
License Family: permissive
Topics: spark, timeseries
Last push: 2020-07-03T12:32:23+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3605, "days_push": 2252, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1177, forks 200 (observed 2026-08-28T04:03:52.832135+00:00)

## What it is
Flint is Two Sigma's open-source time series library for Apache Spark, built around a time series aware TimeSeriesRDD data structure. It provides highly optimized, parallel time series operations that exploit temporal ordering for locality-based optimizations on large-scale and high-frequency data.

## Use cases
- analyze large-scale time series data in Spark
- compute rolling window aggregations over high frequency financial data
- run panel data analysis across many instruments
- resample and summarize tick data at scale
- join and align multiple time series by timestamp
- process IoT sensor time series with Spark

## When to choose
- you already use Spark 2.x and need efficient time series operations
- you work with high-frequency or panel data too large for a single machine
- you want locality-aware optimizations that respect temporal ordering

## When to avoid
- you use Spark 3.x, which Flint does not support
- your time series data fits in pandas or polars
- you need an actively developed library with recent releases

## Facets
- artifact type: library
- maturity: maintenance
- function: data-science, etl, analytics
- domain: time-series, big-data, data-science, fintech
- platform: jvm, python
- tags: apache-spark, timeseries, distributed-computing, panel-data

## Member repositories
- twosigma/flint (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:52.832135+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:26:18.632376+00:00, confidence not recorded.
  - readme: https://github.com/twosigma/flint (fetched 2026-08-28T04:03:52.832135+00:00, sha c11af1c11a14)
- Data as of 2026-08-30T08:39:29.467469+00:00.