# lf-edge/ekuiper

Lightweight data stream processing engine for IoT edge

Repository: https://github.com/lf-edge/ekuiper
Canonical: https://ross.abutalabs.com/products/ekuiper
Homepage: https://ekuiper.org
Language: Go
License: Apache-2.0
License Family: permissive
Topics: edge, sql, iot, edge-analytics, edge-streaming, edge-computing, rule-engine, hacktoberfest
Last push: 2026-08-19T05:24:10+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 98, release rhythm 97, longevity 100
- inputs: {"age_days": 2618, "days_push": 14, "days_rel": 20, "gap_med": 17.0, "n_releases_24m": 27}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1731, forks 455 (observed 2026-08-28T04:05:28.639265+00:00)

## What it is
LF Edge eKuiper is a lightweight stream processing engine for IoT edge devices, offering SQL-based and graph-based rule engine for real-time data analytics. It runs on resource-constrained hardware with a small footprint and integrates with MQTT brokers and Kubernetes edge frameworks.

## Use cases
- process IoT sensor data at the edge in real time
- run SQL queries against MQTT streams
- filter and transform industrial equipment telemetry
- analyze vehicle CAN bus data on a gateway
- route edge data to cloud MQTT broker
- run lightweight Flink-like streaming on Raspberry Pi

## When to choose
- you need low-latency stream processing on resource-constrained edge hardware
- you want SQL or Node-RED-style rules without writing Java
- you deploy analytics across many edge nodes managed from the cloud

## When to avoid
- you need full-scale distributed stream processing like Apache Flink in the datacenter
- your stack is JVM-centric and you prefer Java streaming APIs

## Facets
- artifact type: application
- maturity: active
- function: streaming, etl, workflow-automation, machine-learning, message-queue, analytics
- domain: iot, analytics
- platform: go, cli, self-hosted
- tags: stream-processing, rule-engine, sql, mqtt, edge-computing, flink-alternative, data-engineering, edge, linux, macos, docker, kubernetes

## Member repositories
- lf-edge/ekuiper (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:28.639265+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 2026-08-30T03:31:42.977609+00:00, confidence not recorded.
  - readme: https://github.com/lf-edge/ekuiper (fetched 2026-08-28T04:05:28.639265+00:00, sha fdfec18cb4f2)
  - homepage: https://ekuiper.org (fetched 2026-08-29T11:08:36.187625+00:00, sha e32ceeaae160)
  - site_page: https://ekuiper.org/docs/en/latest/usecases/overview.html (fetched 2026-08-29T11:08:36.190409+00:00, sha 617984bf562f)
  - site_page: https://ekuiper.org/docs/en/latest (fetched 2026-08-29T11:08:36.192353+00:00, sha 6a23a8105341)
  - site_page: https://ekuiper.org/docs/en/latest/getting_started/getting_started.html (fetched 2026-08-29T11:08:36.194021+00:00, sha 3c958e0f0d13)
  - site_page: https://ekuiper.org/docs/en/latest/integrations/edge_cloud/overview.html (fetched 2026-08-29T11:08:36.195898+00:00, sha 614ddce3d66b)
  - site_page: https://ekuiper.org/docs/en/latest/usecases/iov.html (fetched 2026-08-29T11:08:36.197409+00:00, sha 852423e1543f)
  - site_page: https://ekuiper.org/docs/en/latest/edgex/edgex_rule_engine_tutorial.html (fetched 2026-08-29T11:08:36.199480+00:00, sha e8e51408283a)
  - site_page: https://ekuiper.org/docs/en/latest/integrations/kubeedge/overview.html (fetched 2026-08-29T11:08:36.201308+00:00, sha 623373b6b889)
- Data as of 2026-08-30T08:39:29.467469+00:00.