authzed
Client library for SpiceDB.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive license, and integrates cleanly with standard gRPC tooling. It's the official client for a specialized but well-defined use case (SpiceDB permissions queries). Install it if you're using Authzed/SpiceDB for authorization; skip it if you don't need that specific service.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid Authzed API token from the Authzed dashboard to authenticate and connect.
- Low friction installation with a pure-Python wheel.
- Actively maintained with a release within the last month.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary applications with minimal restrictions.
last release 2026-07-14 (31 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 940,344 downloads/mo, #4,683 on PyPI
Alternatives
Verify before relying
pip install authzed
from authzed.api.v1 import Client, CheckPermissionRequest, ObjectReference, SubjectReference
client = Client(
"grpc.authzed.com:443",
bearer_token_credentials("t_your_token_here_1234567deadbeef"),
)
resp = client.CheckPermission(CheckPermissionRequest(
resource=ObjectReference(object_type="blog/post", object_id="1"),
permission="reader",
subject=SubjectReference(object=ObjectReference(object_type="blog/user", object_id="emilia")),
))- Performance characteristics and latency of permission checks at scale
- Backward compatibility guarantees across minor versions
- How bearer token credentials are provided in the usage example
What it is and what it does
Authzed is a Python client for SpiceDB, a permissions database and service. It provides gRPC-based access to Authzed's API for storing, computing, and validating application permissions. Developers define a schema modeling their permission requirements, then use this client to apply that schema, insert relationship data, and query permissions efficiently.
The library supports two API versions: v1 for core permission checks and schema management, and materialize/v0 for building materialized permission views in external systems. It handles both secure TLS connections to remote Authzed instances and insecure connections for local development environments, with straightforward initialization via bearer token authentication.
Use it for
- Check whether a user has permission to perform an action on a resource in a web application
- Build materialized permission views for high-performance lookups in your own database
- Manage and validate complex permission schemas across microservices
- Integrate fine-grained access control into SaaS applications without building custom authorization logic
- Query relationship data to determine group membership or role hierarchies
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries a permissive license, and integrates cleanly with standard gRPC tooling. It's the official client for a specialized but well-defined use case (SpiceDB permissions queries). Install it if you're using Authzed/SpiceDB for authorization; skip it if you don't need that specific service.
Install
authzed on PyPI
Before you install
Low friction installation with a pure-Python wheel. Actively maintained with a release within the last month. Depends on standard gRPC and protobuf libraries.
Requires a valid Authzed API token from the Authzed dashboard to authenticate and connect.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary applications with minimal restrictions.
Quickstart
pip install authzed
from authzed.api.v1 import Client, CheckPermissionRequest, ObjectReference, SubjectReference
client = Client(
"grpc.authzed.com:443",
bearer_token_credentials("t_your_token_here_1234567deadbeef"),
)
resp = client.CheckPermission(CheckPermissionRequest(
resource=ObjectReference(object_type="blog/post", object_id="1"),
permission="reader",
subject=SubjectReference(object=ObjectReference(object_type="blog/user", object_id="emilia")),
))Verify before relying
- Performance characteristics and latency of permission checks at scale
- Backward compatibility guarantees across minor versions
- How bearer token credentials are provided in the usage example
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesgrpcioprotobufgrpc-interceptorgoogleapis-common-protos |
| Maintenance | Actively maintained 31 days since the last release |
| First released | |
| Downloads | 940,344 / month, #4,683 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: authzed-1.25.0-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 › “spicedb python client”
- authzedPython client library for SpiceDB that enables applications to query…
- codewords-clientA Python client library for the Codewords API with built-in FastAPI…
- openapi-python-clientGenerates type-annotated Python HTTP clients from OpenAPI 3.0 and 3.1…
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.
Provides base adapter protocols and shared functionality that database adapters use to integrate with dbt-core, handling connections, dialect translation, relation caching, and core interface management.
See also cerbos · google-auth-httplib2 · djangorestframework-api-key · connectrpc · grpclib · dry-rest-permissions · zope.security · nebius · auth · invenio-records-permissions