SkillAgentSearch skills...

Sqllex

The most pythonic ORM (for SQLite and PostgreSQL). Seriously, try it out!

Install / Use

/learn @v1a0/Sqllex
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

<div align="center"> <img src="./pics/sqllex-logo.svg" width="300px" alt="sqllex logo">

SQLLEX ORM v0.3.0

python-auto-ver lgtm-quality-img lgtm-alerts-img

pypi-version-img pypi-downloads-img

wiki-img docs-dark-img telegram-group-img

<br> The most pythonic ORM. Seriously, try it out!<br> </div><br>

Installation

pip install sqllex

| Version | Status | Tests, and actions | |:-----------:|:-------------------------------------:|:---------------------------------------------------------------------------------------------------------------------:| | >=0.3.0 | ✔️ Supported <br> ✔️ Stable | code-ql-img <br> sqllex-tests-img <br> pypi-upload-img | | <=0.2.3 | ⚠️ OUTDATED | ⚠️ Mostly passing | | <=0.2.0.4 | ❌️ Security issue <br> CVE-2022-0329 | ❌️ |

| Databases | Support | |:-----------|:-------:| | SQLite | ✔️ | | PostgreSQL | ✔️* |

<small>* - partially support</small>

About

Use databases without thinking about SQL.

Interact with a database as python object by intuitive methods just like .insert(), .select() or .find().

Let me show you how sqllex ORM makes your life easier. Imagine you need create some database, save some data into this and take it back. That's how your easy to code it with sqllex.

SQLite3

from sqllex import *

db = SQLite3x(                              
    path='my_database.db',                      
    template={                              
        "users": {                          
            "username": [TEXT, NOT_NULL],   
            "age": INTEGER,                 
        }                                   
    }                                       
)

users = db["users"]

users.insert('Sqllex', 33)

users_33 = users.find(age=33)

print(users_33)  # [('Sqllex', 33)]
<br> <details> <summary id="what1">WHAT IS GOING ON THERE?!</summary>
from sqllex import *

# Create some database, with simple structure
db = SQLite3x(                              # create database
    path='my_data.db',                      # path to your database, or where you would like it locate
    template={                              # schema for tables inside your database                              
        "users": {                              # name for the 1'st table
            "username": [TEXT, NOT_NULL],       # 1'st column of table, named "username", contains text-data, can't be NULL
            "age": INTEGER,                     # 2'nd column of table, named "age", contains integer value
        }                                   # end of table
    }                                       # end of schema (template)
)

# Ok, now you have database with table inside it.
# Let's take this table as variable
users = db["users"]

# Now add record of 33 years old user named 'Sqllex' into it
# Dear table, please insert ['Sqllex', 33] values
users.insert('Sqllex', 33)

# Dear table, please find records where_ column 'age' == 33
users_33 = users.find(age=33)

# Print results
print(users_33)  # [('Sqllex', 33)]
</details>

Examples

| DMS | Example | | :----: | :---:| | SQLite3 | "Zero level" (v0.2+) | | SQLite3 | "Pre-Intermediate" (v0.2+) | | SQLite3 | Data Science (v0.1.8.4) | | SQLite3 | Project Showcase | | PostgreSQL | - |

Community

stars-image

Not enough? Read more in Sqllex Documentation!

Wiki contents


Other

UPDATES

WARNING

LICENSE

DOCUMENTATION

<!-- ALIASES --> <!-- Images --> <!-- Sources -->

Related Skills

View on GitHub
GitHub Stars89
CategoryData
Updated2d ago
Forks8

Languages

Python

Security Score

100/100

Audited on Mar 25, 2026

No findings