# birdLark/LarkMidTable

LarkMidTable 是一站式开源的数据中台，实现中台的 基础建设，数据治理，数据开发，监控告警，数据服务，数据的可视化，实现高效赋能数据前台并提供数据服务的产品。

Repository: https://github.com/birdLark/LarkMidTable
Canonical: https://ross.abutalabs.com/products/larkmidtable
Homepage: http://www.larkmidtable.com
Language: Java
License: Apache-2.0
License Family: permissive
Topics: flink, flinkx, seatunnel, datax, flink-sql, flink-cdc
Last push: 2023-08-20T15:41:26+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2223, "days_push": 1109, "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 2071, forks 627 (observed 2026-08-28T04:06:10.405932+00:00)

## What it is
LarkMidTable (云雀) is a one-stop open-source data middleware platform covering metadata management, data warehouse development, data integration, quality monitoring, alerting, data services, and visualization. It is built on Java and integrates tools like Flink, FlinkCDC, SeaTunnel, DataX, Kafka, ClickHouse/Doris, DolphinScheduler, and Datart.

## Use cases
- build a data middle platform for a small company
- sync data between heterogeneous databases with datax or flinkx
- manage offline and real-time data warehouses
- monitor data quality and get alerts
- schedule and develop flink sql jobs
- serve processed data to downstream apps via an api layer
- visualize data reports and dashboards

## When to choose
- you want an integrated Chinese-language data platform rather than assembling components yourself
- your stack already uses Flink, DataX, SeaTunnel, ClickHouse, or Doris
- you need data integration plus governance and visualization in one product

## When to avoid
- you need fully open-source functionality beyond the data integration module, since other modules are commercial/paid
- you require active maintenance and recent releases, as the latest release dates to 2023
- you prefer English-first documentation and community support

## Facets
- artifact type: application
- maturity: maintenance
- function: etl, data-visualization, monitoring, alerting, streaming, workflow-automation, analytics
- domain: big-data, analytics, self-hosted
- platform: jvm, self-hosted, cloud
- tags: data-middleware, data-platform, datax, flink, data-warehouse, data-integration, data-governance, chinese, data-engineering, web-server, docker

## Member repositories
- birdLark/LarkMidTable (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:10.405932+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 2026-08-30T02:56:42.045125+00:00, confidence not recorded.
  - readme: https://github.com/birdLark/LarkMidTable (fetched 2026-08-28T04:06:10.405932+00:00, sha e3c8a22555a5)
- Data as of 2026-08-30T08:39:29.467469+00:00.