PyPika
sql-athame
PyPika | sql-athame | |
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4 | 2 | |
2,378 | 11 | |
1.1% | - | |
5.6 | 0.0 | |
8 days ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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PyPika
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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?
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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.
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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.
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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
sql-athame
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Show HN: Sqlbind a Python library to compose raw SQL
I had my own take on this concept[1], though with considerably less language magic involved. I imagine there's a lot of these kind of things running around. My criteria were:
a) let me write actual SQL, not a python DSL that generates SQL
b) be placeholder-safe
c) be composable
[1] https://github.com/bdowning/sql-athame
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Write an SQL query builder in 150 lines of Python
This is my middle-ground solution for Python: https://github.com/bdowning/sql-athame
Still fundamentally manipulating SQL text (which is a feature as I don't want to learn a full DSL), but it handles wrangling embedded placeholders while you're composing stuff and some other common compositional tasks. It's worked well for me anyway but I'm under no illusions it'd be right for everyone.
Not an original concept regardless; my original version of this was in Node: https://github.com/bdowning/sql-assassin, but a few years after I wrote that (and mostly didn't use it) I found https://github.com/gajus/slonik which was very similar and much more fleshed-out; I rolled _some_ of its concepts and patterns into sql-athame.
What are some alternatives?
TinyDB - TinyDB is a lightweight document oriented database optimized for your happiness :)
pgcli - Postgres CLI with autocompletion and syntax highlighting
sqlc - Generate type-safe code from SQL
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
postgres-typed
PipelineDB - High-performance time-series aggregation for PostgreSQL
xql - SQL builder and utilities library for node.js (runs in browser as well).
tksheet - Python tkinter table widget for displaying tabular data
pickleDB - pickleDB is an open source key-value store using Python's json module.
django-compositepk-model - Extended Django Model class with composite-primary-key support