PyPika
mfsqlchecker
| PyPika | mfsqlchecker | |
|---|---|---|
| 4 | 3 | |
| 2,371 | 56 | |
| 0.8% | - | |
| 5.6 | 0.0 | |
| 14 days ago | 11 months ago | |
| Python | TypeScript | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PyPika
-
any recommendations for a good query builder library with good support?
I recently started using drizzle orm and I am now looking for something similar in python, my goal is to be as close to sql syntax as possible without just passing dml commands as strings, type safety would be cool as well, I saw this one pypika but it ha a lot of open issues and no commits for a year, is there anything similar but more stable?
-
Ask HN: Is SQLAlchemy the industry standard Python ORM in 2023?
Yes it is. I haven't seen many Python projects using Prisma and
Note that there are several types of technologies that can help connect an application to an SQL database:
- SQL builders: the best known project seems to be Pypika by Kayak (https://github.com/kayak/pypika) but it seems to be dead of sleeping.
-
Write an SQL query builder in 150 lines of Python
https://github.com/kayak/pypika
Have used in multiple projects and have found it's the right balance between ORMs and writing raw SQL. It's also easily extensible and takes care of the many edge cases and nuances of rolling your own SQL generator.
-
Migrating to SQLAlchemy 2.0
There is a middle-ground between writing SQL statement strings in your code, and a full-blown ORM: query builders. At least in my experience with small to medium projects, these have far fewer footguns while keeping the code composable and readable. Here's one for Python: https://github.com/kayak/pypika
mfsqlchecker
-
Deepkit – High-Performance TypeScript Framework
Here is another TypeScript library for validating types of SQL queries: https://github.com/MedFlyt/mfsqlchecker
It uses the actual PostgreSQL parser against your project's database schema to give 100% accurate results. Guarantees that all of your queries are valid, and that all input and output types are correct (and will also auto-generate/quickfix the output types for you in VSCode)
-
Write an SQL query builder in 150 lines of Python
> In an ideal world (one I think we are getting very close to) I think we will end up having SQL queries validated in our code against the actual DB structure the same way we have any other compilation error.
This library for TypeScript works exactly like this
https://github.com/MedFlyt/mfsqlchecker
-
Postgres to TypeScript Interfaces and Enums
This library does exactly what you want: https://github.com/MedFlyt/mfsqlchecker
and it also validates the types of the parameters that go into the query
What are some alternatives?
TinyDB - TinyDB is a lightweight document oriented database optimized for your happiness :)
pg-to-ts - Generate TypeScript interface definitions from your Postgres schema
sqlc - Generate type-safe code from SQL
xql - SQL builder and utilities library for node.js (runs in browser as well).
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
vramework
PipelineDB - High-performance time-series aggregation for PostgreSQL
ts-sql - A SQL database implemented purely in TypeScript type annotations.
tksheet - Python tkinter table widget for displaying tabular data
liveviewjs - LiveView-based library for reactive app development in NodeJS and Deno
pickleDB - pickleDB is an open source key-value store using Python's json module.
pgtyped - pgTyped - Typesafe SQL in TypeScript