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SQLAlchemy Alternatives
Similar projects and alternatives to SQLAlchemy
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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PostgreSQL
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
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Prisma
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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litestar
Discontinued Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better SQLAlchemy alternative or higher similarity.
SQLAlchemy discussion
SQLAlchemy reviews and mentions
Posts with mentions or reviews of SQLAlchemy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-07-28.
- How to Make Websites That Will Require Lots of Your Time and Energy
at the very least, if you are really writing lots of INSERTs by hand I bet you are either not quoting properly or you are writing queries with 15 placeholders and someday you'll put one in the wrong place.
ORMs and related toolkits have come a long way since they were called the "Vietnam of Computer Science". I am a big fan of JooQ in Java
https://www.jooq.org/
and SQLAlchemy in Python
https://www.sqlalchemy.org/
Note both of these support both an object <-> SQL mapper (usually with generated objects) that covers the case of my code sample above, and a DSL for SQL inside the host language which is delightful if you want to do code generation to make query builders and stuff like that. I work on a very complex search interface which builds out joins, subqueries, recursive CTEs, you name it, and the code is pretty easy to maintain.
- Automatic PR creation on GitHub for database schema change
Updating a database schema as part of your development process often feels more complicated than it should be. If you’ve ever worked with tools like SQLAlchemy, Alembic, or EF Core, you probably know the drill: you first update your model classes in code, then generate a migration file, and finally apply those changes to your database. It's not a terrible process—but it's slow, easy to mess up with the correct migration order, and repetitive. You constantly have to switch contexts: from writing model code, to terminal commands, to reviewing raw SQL.
- A Lisp adventure on the calm waters of the dead C (2021)
Two good examples of "builders to SQL" are
https://www.jooq.org/
and
https://www.sqlalchemy.org/
JooQ isn't everybody's taste but I use it for my job and I think it's great particularly in that you can reuse expressions and write generators for complex queries. We have a powerful search interface that combines full-text with other kinds of queries ("Is about topic T", "Data was collected between S and E") that is beautiful. I think it's funny how JooQ has that lispy f(a,b) style (no accident it is like ferocity) and how Sqlalchemy is really fluent and takes advantage of operator overloading.
- 10 Useful Tools and Libraries for Python Developers
6. SQLAlchemy - Database Interaction using ORM
- Ask HN: SQL ORM with nested atomic updates?
- How To Secure APIs from SQL Injection Vulnerabilities
Object-Relational Mapping frameworks like Hibernate (Java), SQLAlchemy (Python), and Sequelize (Node.js) typically use parameterized queries by default and abstract direct SQL interaction. These frameworks help eliminate common developer errors that might otherwise introduce vulnerabilities.
- Ask HN: Python ORM Solutions in 2025?
SQLAlchemy [0] is still arguably the most featureful and robust ORM in Python (although it is much more than an ORM). It is likely the best default choice unless you're already working within a framework that offers its own ORM.
[0]: https://www.sqlalchemy.org
- Creating an Application with Amazon RDS and MySQL in the Cloud
SQLAlchemy Documentation. "SQLAlchemy ORM." https://www.sqlalchemy.org/.
- Leveraging Python for Scalable Data Pipelines
Let’s start with a simple example of a data pipeline that reads data from a CSV file, processes it, and stores the result in a database. We’ll use Pandas for data manipulation and SQLAlchemy to interact with an SQL database.
- Creating an arXiv DB
We will define our database schema using SQLAlchemy. First, we will store a subset of the information in a single table called documents. This is to test that our database configuration is correct and avoid storing nested data now. The code is fairly simple to create a SQLite3 database with SQLAlchemy:
- A note from our sponsor - InfluxDB www.influxdata.com | 23 Dec 2025
Stats
Basic SQLAlchemy repo stats
141
11,303
9.8
4 days ago
sqlalchemy/sqlalchemy is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of SQLAlchemy is Python.
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