Sql Server Python Packages

mssql-python

Microsoft Python Driver for SQL Server

bcpandas

High-level wrapper around BCP for high performance data transfers between pandas and SQL Server. No knowledge of BCP required!!

dbt-sqlserver

dbt adapter for SQL Server and Azure SQL

pypyodbc

pypyodbc is a pure Python cross platform ODBC interface module (pyodbc compatible as of 2017)

dask-sql

Distributed SQL Engine in Python using Dask

dbt-materialize

The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL

mssql-dataframe

Update, Upsert, and Merge from Python dataframes to SQL Server and Azure SQL database.

pysqlserver

PySQL is a Python library for interacting with SQL Server databases. It provides a simplified methodes for common database operations.

flashorm

A powerful, database-agnostic ORM with multi-database support and type-safe code generation

exceltosqlserver

This package help convert your excel files (xlsx,xls,csv) to SQL Server Database.

sqlmlutils

Utility functions for easier usage of SQL Server Machine Learning Services

dbscripts

A small Python package to quickly run database object scripts against a database without dependency issues.

deploydb

Deploy your database objects automatically when the git branch is updated.

databus-keremkoseoglu

Async middleware SDK

dataxi

Dataxi is a cross-DBMS server tool with credential management that can help you centralize the data extraction and transfer from different data sources.

layabase

Database for layab

dorkeye

Advanced Google Dorking with Google Dorks Generator, SQLi analysis, WAF detection and extract metadata.

cdk-sqlserver-seeder

A simple CDK seeder for SQL Server RDS databases.

pyodbc-mcp-server

MCP server for read-only SQL Server access via Windows Authentication

zodbc

DBAPI2-like ODBC Driver with PyArrow Support - written in Zig.

mssql-mcp-server-enhanced

A Model Context Protocol server for Microsoft SQL Server

cartonnage

The Database-First ORM that speaks your database fluently-live and runtime-bound, built for exisitng databases.

bytesized

I needed a tool that would convert data sizes. It was a good candidate to put up even if it is just useful for me. If work with 8k pages and need the conversion, this tool is your one stop.

ipython-sqlcmd

Run SQL Server Queries in Jupyter with Ease: Create tables and databases using Ipython magic for SQLCMD easily connect to Microsoft SQL Server from IPython/Jupyter notebooks using the sqlcmd utility. Supports variable substitution, batch execution, external SQL files, and more.