Dinky is a real-time data development platform based on Apache Flink, enabling agile data development, deployment and operation.
$ npx skills add DataLinkDC/dinkyAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
从数据仓库到用户画像,从数据建设到数据应用
Dinky is a real-time data development platform based on Apache Flink, enabling agile data development, deployment and operation.
$ npx skills add DataLinkDC/dinkyAn educational OLAP database system.
$ npx skills add risinglightdb/risinglightApache Calcite
$ npx skills add apache/calciteesProc SPL is a JVM-based programming language designed for structured data computation, serving as both a data analysis tool and an embedded computing engine.
$ npx skills add SPLWare/esProcEasy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
$ npx skills add pudo/datasetA database migrations tool for SQLAlchemy.
$ npx skills add sqlalchemy/alembicA fast PostgreSQL Log Analyzer
$ npx skills add darold/pgbadgerAn immutable SQL database for application development, time-travel reporting and data compliance. Developed by @juxt
$ npx skills add xtdb/xtdb基于开源的flink,对其实时sql进行扩展;主要实现了流与维表的join,支持原生flink SQL所有的语法
$ npx skills add DTStack/flinkStreamSQLH2 is an embeddable RDBMS written in Java.
$ npx skills add h2database/h2databaseSQL schema migration tool for Go.
$ npx skills add rubenv/sql-migrateExtensible SQL Lexer and Parser for Rust
$ npx skills add apache/datafusion-sqlparser-rsGolang driver for ClickHouse
$ npx skills add ClickHouse/clickhouse-goSlick (Scala Language Integrated Connection Kit) is a modern database query and access library for Scala
$ npx skills add slick/slickQuery git repositories with SQL. Generate reports, perform status checks, analyze codebases. 🔍 📊
$ npx skills add mergestat/mergestat-liteDatabase Client For Visual Studio Code
$ npx skills add cweijan/vscode-database-clientHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep DataWarehouse if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.