dbt-adapters
The set of adapter protocols and base functionality that supports integration with dbt-core
Decision gist · record as of 2026-08-14
Yes, if you are developing or maintaining a dbt adapter. No, if you are an end user of dbt—install the specific adapter for your database instead (e.g., dbt-postgres, dbt-snowflake). This is a library for adapter developers, not a standalone tool. It is actively maintained, has no known vulnerabilities, and uses a permissive license.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Intended for use by adapter developers, not end users directly.
- Active maintenance with a release 30 days ago.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache License (permissive), allowing commercial and private use with minimal restrictions.
last release 2026-07-15 (30 days) · last repo commit 2026-08-13 · 231 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 121,337,316 downloads/mo, #303 on PyPI
Alternatives
Verify before relying
pip install dbt-adapters
from dbt.adapters.base import BaseAdapter
from dbt.adapters.sql import SQLAdapter- Whether this package is meant for direct end-user installation or only as a dependency of concrete database adapters.
- Specific version compatibility guarantees between dbt-adapters and dbt-core releases.
- Performance characteristics or scalability limits for relation caching with large metadata volumes.
What it is and what it does
dbt-adapters is the foundational library that database adapter developers use to build dbt integrations. It defines two main adapter types—BaseAdapter for generic functionality and SQLAdapter for SQL-based platforms—and provides shared components for connections, dialect translation, relation caching, and integration with dbt-core. Rather than a tool for end users, it's infrastructure: concrete adapters (like dbt-postgres, dbt-snowflake) inherit from these base classes and implement platform-specific logic on top.
The package handles the heavy lifting of managing connections to storage and compute systems, translating dbt requests into platform-specific operations, caching relation metadata locally, and exposing the plugin interface that dbt-core uses to discover and load adapters. If you're building a dbt adapter for a new database or data platform, this is the foundation you build on; if you're using dbt with an existing database, you depend on it indirectly through your adapter.
Use it for
- Building a new dbt adapter for an unsupported database or data platform by inheriting from BaseAdapter or SQLAdapter.
- Extending or customizing an existing adapter's behavior by leveraging the shared protocols and component interfaces.
- Understanding dbt's adapter architecture and how adapters integrate with dbt-core for development or debugging.
- Maintaining or contributing to an existing dbt adapter that depends on dbt-adapters for base functionality.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are developing or maintaining a dbt adapter.
No, if you are an end user of dbt—install the specific adapter for your database instead (e.g., dbt-postgres, dbt-snowflake). This is a library for adapter developers, not a standalone tool. It is actively maintained, has no known vulnerabilities, and uses a permissive license.
Install
dbt-adapters on PyPI
Before you install
Active maintenance with a release 30 days ago. Low install friction; depends on well-established packages like protobuf, agate, and pytz. Supports Python 3.10 through 3.14.
Requires Python 3.10 or later. Intended for use by adapter developers, not end users directly.
License in practice
Licensed under Apache License (permissive), allowing commercial and private use with minimal restrictions.
Quickstart
pip install dbt-adapters
from dbt.adapters.base import BaseAdapter
from dbt.adapters.sql import SQLAdapterVerify before relying
- Whether this package is meant for direct end-user installation or only as a dependency of concrete database adapters.
- Specific version compatibility guarantees between dbt-adapters and dbt-core releases.
- Performance characteristics or scalability limits for relation caching with large metadata volumes.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesagatedbt-commondbt-protosmashumaroprotobufpytztyping-extensions |
| Maintenance | Actively maintained 30 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 121,337,316 / month, #303 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: dbt_adapters-1.24.5-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “dbt adapter framework”
- dbt-adaptersProvides base adapter protocols and shared functionality that…
- dbt-postgresdbt-postgres is a dbt adapter that connects dbt to PostgreSQL…
- dbt-oracledbt-oracle is a dbt adapter that enables data transformation and…
Give your agent the search over MCP, or paste the wish link into any chat.
More Database packages
psycopg2-binary is a PostgreSQL database adapter for Python that implements the DB API 2.0 specification, enabling Python applications to connect to and query PostgreSQL databases with thread-safe concurrent operations.
Python client library for connecting to and executing commands against Redis key-value stores, supporting both synchronous and asynchronous operations.
Install it if your application needs to interact with Redis; the only prerequisite is a running Redis server instance.
YDB Python SDK is the official client library for connecting to and querying YDB databases from Python applications.
Install it if you need to connect Python applications to YDB databases.
Connects Python applications to Snowflake data warehouses using the DB API 2.0 specification, enabling SQL queries, data transfers, and warehouse operations.
sqlparse tokenizes SQL text into a tree of statements, clauses, and expressions, and provides functions to split scripts, format queries, and inspect parsed tokens without validating dialect or syntax.
Install it if you need to manipulate, format, or analyze SQL text programmatically.
PyMongo is the official MongoDB Python driver, providing synchronous and asynchronous APIs for querying, inserting, updating, and managing MongoDB databases from Python applications.
Install it if you need to connect Python to MongoDB.
See also dbt-common · dbt-postgres · dbt-osmosis · dbt-sqlserver · dbt-state · dbt-core-interface · dbt-clickhouse · dbt-exasol · dbt-bigquery · dbt-metricflow