sql-lint
ElectroCRUD
| sql-lint | ElectroCRUD | |
|---|---|---|
| 3 | 2 | |
| 432 | 1,539 | |
| - | - | |
| 7.6 | 8.4 | |
| 16 days ago | 11 months ago | |
| TypeScript | JavaScript | |
| MIT License | MIT License |
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sql-lint
ElectroCRUD
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After few years, ElectroCRUD is coming back
development branch: https://github.com/garrylachman/ElectroCRUD/tree/develop
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How to go from spreadsheet to “app”?
Another great option (and potentially better than the first) is ElectroCRUD: https://github.com/garrylachman/ElectroCRUD. Unfortunately I don't have first-hand experience with this either, so it's still hearsay but worth a look.
What are some alternatives?
node-pg-migrate - Node.js database migration management for PostgreSQL
MikroORM - TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases.
vscode-sqltools - Database management for VSCode
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.
deno-nessie - A modular Deno library for PostgreSQL, MySQL, MariaDB and SQLite migrations
antares - A modern, fast and productivity driven SQL client with a focus in UX
schemats - Generate typescript interface definitions from SQL database schema
lucid - AdonisJS SQL ORM. Supports PostgreSQL, MySQL, MSSQL, Redshift, SQLite and many more
@databases - TypeScript clients for databases that prevent SQL Injection
boxball - Prebuilt Docker images with Retrosheet's complete baseball history data for many analytical frameworks. Includes Postgres, cstore_fdw, MySQL, SQLite, Clickhouse, Drill, Parquet, and CSV.
ngx-crud - CRUD services in Angular with effortless aborting, caching and observing
pgtt - pgtt is a time traveling tool for PostgreSQL to help speedup development and testing of various applications by enabling the user to easily travel between points in time. This can be useful when for example you have to test a certain mutation multiple times and want to quickly rollback to before the mutation to make changes to the behaviour and test again. This will save time and avoids setting up the data over and over again, especially in larger applications with complex data and flows.