snowflake-connector-python
PyPika
snowflake-connector-python | PyPika | |
---|---|---|
3 | 4 | |
553 | 2,378 | |
0.5% | 1.1% | |
9.0 | 5.6 | |
8 days ago | 8 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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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.
snowflake-connector-python
- Snowflake Python connector lack of async support
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Connecting Raspberry Pi + Python with Snowflake
Regarding your question, please check the dependencies here.
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Loading a file-like object to Snowflake via Python?
I actually just found a useful comment on https://github.com/snowflakedb/snowflake-connector-python/issues/317 saying that this isn't supported yet. Its fine, I can just go through S3 in the meantime.
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
What are some alternatives?
ibis - the portable Python dataframe library
TinyDB - TinyDB is a lightweight document oriented database optimized for your happiness :)
jaydebeapi - JayDeBeApi module allows you to connect from Python code to databases using Java JDBC. It provides a Python DB-API v2.0 to that database.
sqlc - Generate type-safe code from SQL
dataset - Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
q - q - Run SQL directly on delimited files and multi-file sqlite databases
PipelineDB - High-performance time-series aggregation for PostgreSQL
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
postgres-typed