Ross ROSS = Recommend OSS · open-source software intelligence for agents

DataLinkDC/dinky

Dinky is a real-time data development platform based on Apache Flink, enabling agile data development, deployment and operation. observed · 2026-08-28

github.com/DataLinkDC/dinky · homepage · Java · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

80/100

  • Activity 99
  • Release rhythm 43
  • 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: 37
  • age_days: 1911
  • days_rel: 301
  • days_push: 9
  • n_releases_24m: 6

Full methodology

Adoption not part of the score

3752 stars · 1356 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Dinky is an open-source, one-stop real-time computing platform built around Apache Flink, providing an IDE for FlinkSQL development, online debugging, and job operations. It supports all Flink deployment modes, FlinkCDC whole-database synchronization into warehouses and lakes, monitoring, alerting, and enterprise-grade multi-tenant management.

Use cases

  • develop and debug flinksql jobs online
  • sync entire mysql database to data lake with flinkcdc
  • manage and monitor flink streaming jobs
  • set up alerting for real-time flink tasks
  • manage savepoint and checkpoint recovery for flink jobs
  • build a stream-batch unified real-time data warehouse
  • run flink jobs on yarn or kubernetes from a web ide

When to choose

  • your team develops many FlinkSQL/FlinkCDC jobs and needs a unified IDE and ops center
  • you want out-of-the-box job deployment across Local, Yarn, and Kubernetes modes
  • you need whole-database CDC synchronization into warehouses or lakes with schema evolution
  • you want built-in monitoring, alerting, and checkpoint management for streaming jobs

When to avoid

  • you don't use Apache Flink or the JVM big-data ecosystem
  • you need a lightweight SQL client without stream-processing orchestration
  • you require a fully managed cloud service rather than self-hosted deployment
  • your use case is batch-only ETL with no streaming component

Facets

application · maturity active

web-framework monitoring alerting etl streaming data-visualization workflow-automation developer-tools big-data analytics self-hosted databases jvm self-hosted cross-platform apache-flink flinksql flinkcdc data-warehouse data-lake stream-processing sql-ide job-orchestration olap paimon data-engineering real-time docker kubernetes web-server

10 sources

Member repositories

RepositoryRoleHealth v2
DataLinkDC/dinkymain80

For agents

markdown · JSON · MCP: product_card(name="DataLinkDC/dinky")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem