pyatlan
Atlan Python Client
Decision gist · record as of 2026-08-14
Yes. The package is production-ready, actively maintained with zero known vulnerabilities, has low install friction, and uses a permissive license. Install it if you need to interact with Atlan's metadata platform from Python or automate data governance workflows. The main prerequisite is access to an Atlan instance and valid API credentials.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires ATLAN_BASE_URL and ATLAN_API_KEY environment variables or explicit credentials to connect to an Atlan instance.
- Low friction installation with a pure-Python wheel and modern dependency stack.
- Active maintenance with a release 1 day old and no known vulnerabilities.
License · maintenance · safety
Apache LICENSE 2.0 (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions, suitable for most production deployments.
last release 2026-08-13 (1 days) · last repo commit 2026-08-13 · 21 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 501,509 downloads/mo, #6,314 on PyPI
Alternatives
Verify before relying
pip install pyatlan
from pyatlan.client import Client
client = Client(
base_url="https://your-tenant.atlan.com",
api_key="your_api_key"
)- Whether the SDK supports async operations beyond what httpx provides natively.
- Performance characteristics when working with large asset catalogs or complex queries.
- Completeness of type coverage for all Atlan asset types and custom metadata schemas.
What it is and what it does
Pyatlan is the official Python client library for Atlan, a metadata management and data governance platform. It provides typed, programmatic access to Atlan's REST API, enabling developers to query, create, update, and manage data assets, lineage, tags, and custom metadata from Python code. The SDK is built on a modern stack including pydantic for validation, httpx for HTTP operations, and msgspec for efficient serialization, with support for both synchronous and async patterns.
The package is designed for production use with active maintenance, comprehensive type hints, and support for current Python versions (3.9–3.14). It includes built-in caching for tags and metadata definitions, retry logic via tenacity, and templating support through Jinja2. Developers typically use it to automate metadata workflows, integrate Atlan with data pipelines, or build custom governance applications.
Use it for
- Automate bulk asset registration and metadata enrichment across data catalogs.
- Build custom data lineage tracking and impact analysis workflows.
- Integrate Atlan metadata into CI/CD pipelines for automated governance checks.
- Query and manage business glossaries, tags, and custom metadata programmatically.
- Generate typed asset models from your Atlan instance for IDE autocomplete and type safety.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is production-ready, actively maintained with zero known vulnerabilities, has low install friction, and uses a permissive license. Install it if you need to interact with Atlan's metadata platform from Python or automate data governance workflows. The main prerequisite is access to an Atlan instance and valid API credentials.
Install
pyatlan on PyPI
Before you install
Low friction installation with a pure-Python wheel and modern dependency stack. Active maintenance with a release 1 day old and no known vulnerabilities. Supports Python 3.9 through 3.14.
Requires ATLAN_BASE_URL and ATLAN_API_KEY environment variables or explicit credentials to connect to an Atlan instance.
License in practice
Apache 2.0 permissive license allows commercial and private use with minimal restrictions, suitable for most production deployments.
Quickstart
pip install pyatlan
from pyatlan.client import Client
client = Client(
base_url="https://your-tenant.atlan.com",
api_key="your_api_key"
)Verify before relying
- Whether the SDK supports async operations beyond what httpx provides natively.
- Performance characteristics when working with large asset catalogs or complex queries.
- Completeness of type coverage for all Atlan asset types and custom metadata schemas.
Package facts
| License | Apache LICENSE 2.0 permissive |
| Python support | Supports the current Python release >=3.9.1 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 12 packagespydanticjinja2tenacitylazy-loadernanoidpytzpython-dateutilPyYAMLhttpxhttpx-retriesauthlibmsgspec |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 501,509 / month, #6,314 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 :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9 |
Evidence: pyatlan-10.0.0-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 › “atlan python sdk”
- pyatlanOfficial Python SDK for Atlan, providing programmatic access to…
- ringcentralPython SDK for accessing RingCentral's cloud communications platform,…
- alibabacloud-tea-xmlParses and handles XML data as part of Alibaba Cloud's Tea SDK…
Give your agent the search over MCP, or paste the wish link into any chat.
More Front-Ends packages
SQLAlchemy is a Python SQL toolkit and Object Relational Mapper (ORM) that provides both a high-level ORM layer for declarative object persistence and a Core SQL construction system for direct database abstraction and query building.
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.
Alembic generates and manages database schema migrations for SQLAlchemy applications, handling version control of database structure changes with support for upgrades, downgrades, and auto-generation from model changes.
Install it if you use SQLAlchemy and need to version-control schema changes; skip it only if you manage migrations manually or use a different ORM entirely.
A Python client library for connecting to and querying Weaviate, a vector database that enables semantic search and AI-powered data retrieval.
A Python client library that connects to Databricks clusters and SQL warehouses using a Thrift-based protocol, conforming to the Python DB API 2.0 specification and supporting Arrow-based data exchange.
Install it if you need to query Databricks clusters or SQL warehouses from Python.
Psycopg 3 is a PostgreSQL database adapter for Python that enables applications to connect to, query, and manage PostgreSQL databases using Python code.
Install it if you need to connect Python to PostgreSQL.
See also airbyte-source-declarative-manifest · catalystwan · agent-client-protocol · unitycatalog-client · prophecy-libs · azure-mgmt-msi · depgather · docker-py · azure-mgmt-commerce · devcycle-python-server-sdk