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cookieY/Yearning

🐳 A most popular sql audit platform for mysql observed · 2026-08-28

github.com/cookieY/Yearning · homepage · Go · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

79/100

  • Activity 99
  • Release rhythm 40
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 8
  • age_days: 3241
  • days_rel: 661
  • days_push: 9
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

8964 stars · 2032 forks observed · 2026-08-28

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

Yearning is a self-hosted web-based SQL audit platform for MySQL, providing audit tickets with approval workflows, automated syntax checking, query auditing, and rollback statement generation. It also includes an AI assistant for SQL optimization suggestions and text-to-SQL conversion, with RBAC and encryption for privacy-focused deployment.

Use cases

  • audit mysql sql statements before execution
  • create sql approval workflow tickets for dba review
  • audit and restrict user database queries
  • generate rollback statements for ddl and dml changes
  • check sql syntax against security and compliance rules
  • convert natural language to sql with ai assistance
  • self-host a sql review tool for my team

When to choose

  • your team needs approval workflows and audit trails for MySQL schema and data changes
  • you want a self-hosted, privacy-focused SQL audit platform with RBAC
  • you need automated SQL syntax checking and rollback statement generation
  • you want query auditing with data source restrictions and field anonymization

When to avoid

  • you use databases other than MySQL, since support is MySQL-specific
  • you rely heavily on stored procedures, triggers, foreign keys, or cross-database DML rollbacks
  • you need a fully managed cloud service rather than a locally deployed platform
  • you require guaranteed accurate affected-row counts, since Explain-based estimates can be imprecise

Facets

application · maturity active

database security workflow-automation web-framework auth authorization llm-inference databases self-hosted developer-tools backend self-hosted go sql-audit mysql database-operations approval-workflow query-audit rbac text-to-sql dba-tools devops linux docker web-server

4 sources

Member repositories

RepositoryRoleHealth v2
cookieY/Yearningmain79

For agents

markdown · JSON · MCP: product_card(name="cookieY/Yearning")

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