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. (by baztian)
PyPika
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis. (by kayak)
| jaydebeapi | PyPika | |
|---|---|---|
| 1 | 4 | |
| 355 | 2,378 | |
| - | 1.1% | |
| 0.0 | 5.6 | |
| about 1 month ago | 8 days ago | |
| Python | Python | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
jaydebeapi
Posts with mentions or reviews of jaydebeapi.
We have used some of these posts to build our list of alternatives
and similar projects.
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Bulk load Pandas DataFrames into SQL databases using Jaydebeapi
Loading Pandas DataFrames into SQL databases of all names is a common task between all developers working on building data pipelines for their environments or trying to automate ETL jobs generally. And for that, Pandas DataFrame class has the built-in method pandas.DataFrame.to_sql that allows to do so very quickly, for SQLite and all the databases supported by SQLAlchemy library, and when it comes to those who doesn’t have a good support by it ( in my case was IBM DB2 ), developers find themselves forced to think twice for some work around in order to get the job done. Jaydebeapi introduces himself as a good alternative, and it’s particularly seen thus by all developers coming from a Java background and having some familiarities of working with JDBC API to access the database. Let’s start first by creating the database connection. for that reason I will be creating a simple function that takes in params all the informations required and it will give a connection to DB2 as a return.
PyPika
Posts with mentions or reviews of PyPika.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-11.
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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