SQLSpec

Type-safe SQL execution for Python, without an ORM.

PyPI Python License Docs

SQLSpec is a SQL execution layer for Python. You write the SQL -- as strings, through a builder API, or loaded from files. SQLSpec handles connections, parameter binding, and dialect translation. It maps results back to typed Python objects. It uses sqlglot under the hood. Queries are parsed, validated, and optimized before they hit the database.

Area Support
One API The same session and result APIs with sync or async drivers.
Databases PostgreSQL, SQLite, DuckDB, MySQL, SQL Server, Oracle, CockroachDB, BigQuery, Spanner, and supported Arrow Database Connectivity backends such as Snowflake, Flight SQL, and GizmoSQL.
Data tools Typed result mapping, Arrow export, built-in storage, and native bulk ingest where the adapter supports it.
Frameworks Litestar, FastAPI, Flask, Sanic, and Starlette.

Quick Start

pip install sqlspec

from dataclasses import dataclass

from sqlspec import SQLSpec
from sqlspec.adapters.sqlite import SqliteConfig


@dataclass
class Greeting:
    message: str


spec = SQLSpec()
db = spec.add_config(SqliteConfig(connection_config={"database": ":memory:"}))

with spec.provide_session(db) as session:
    greeting = session.select_one("SELECT 'Hello, SQLSpec!' AS message", schema_type=Greeting)
    print(greeting.message)  # Output: Hello, SQLSpec!

Write SQL, define a schema, get typed objects back. The getting started guide covers adapter installation and the query builder.

Features

  • Session lifecycle -- sync and async sessions with pooling where the adapter supports it
  • Parameter binding and dialect translation -- powered by sqlglot, with a fluent query builder and .sql file loader
  • Result mapping -- map rows to Pydantic, msgspec, attrs, or dataclass models, or export to Arrow tables for pandas and Polars
  • Storage layer -- read and write Arrow tables to local files, fsspec, or object stores
  • Framework integrations -- Litestar plugin with DI, Starlette/FastAPI/Sanic middleware, Flask extension
  • Google ADK -- SQLSpec-backed session, event, memory, and artifact services
  • Observability -- OpenTelemetry and Prometheus instrumentation, structured logging with correlation IDs
  • Event channels -- LISTEN/NOTIFY, Oracle AQ/TxEventQ, and durable table-backed queues with polling fallback
  • Migrations -- native schema migration CLI backed by SQLSpec's SQL file loader

Documentation

Playground

Want to try it without installing anything? The interactive playground runs SQLSpec in your browser with a sandboxed Python runtime.

Reference Applications

  • PostgreSQL + Vertex AI Demo -- Vector search with pgvector and real-time chat using Litestar and Google ADK. Shows connection pooling, migrations, type-safe result mapping, vector embeddings, and response caching.
  • Oracle + Vertex AI Demo -- Oracle 23ai vector search with semantic similarity using HNSW indexes. Demonstrates NumPy array conversion, large object handling, and real-time performance metrics.

Contributing

Contributions are welcome -- whether that's bug reports, new adapter ideas, or pull requests. Take a look at the contributor guide to get started.

License

MIT

Project links

Data verified by PyPI on Jul 26, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
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  • Released:
Newer release available (0.60.0)

Owner

PyPI data
Data sourced directly from PyPI's database.

Credits

Author: Cody Fincher

Maintainer: Litestar Developers

GitHub Statistics

Data verified by PyPI on Jul 26, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python <4.0, >=3.10

Provides Extra

adbc adk aiomysql aiosqlite alloydb arrow-odbc asyncmy asyncpg attrs bigquery cloud-sql cockroachdb duckdb fastapi flask fsspec litestar msgspec mssql-python mypyc mysql-connector nanoid obstore opentelemetry oracledb orjson pandas performance polars prometheus psqlpy psycopg pydantic pymssql pymysql sanic spanner starlette uuid

Classifiers

Report project as malware

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