dagster-rest-resources
Decision gist · record as of 2026-08-14
Yes, if you are already using Dagster and need to ingest or orchestrate data from REST APIs. The package has low install friction, active maintenance, no known vulnerabilities, and Apache-2.0 licensing. It is a natural fit for Dagster users building data platforms that consume external HTTP services. Not relevant if you are not using Dagster or do not need REST API integration.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports 3.10–3.14); httpx must be available at runtime.
- Low friction install with three lightweight runtime dependencies (dagster-shared, httpx, pydantic).
- Active maintenance as of 2026-08-14 with no reported vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 licensed under permissive terms, allowing use in commercial and proprietary projects with minimal restriction.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 15,996 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 787,825 downloads/mo, #5,060 on PyPI
Alternatives
Verify before relying
pip install dagster-rest-resources
import dagster as dg
from dagster_rest_resources import rest_api_resource
@dg.asset
def my_rest_asset(rest_api: rest_api_resource) -> dict:
return rest_api.get("https://api.example.com/data")- Specific REST authentication methods supported (basic, OAuth, API keys, etc.)
- Whether this package provides pre-built connectors for common REST APIs or is a generic HTTP client wrapper
- Performance characteristics and rate-limiting or retry behavior
- Whether REST responses are automatically mapped to Dagster asset types or require manual serialization
What it is and what it does
dagster-rest-resources is a Dagster integration library that brings REST API connectivity into Dagster's asset orchestration model. It sits between Dagster's declarative asset framework and HTTP endpoints, allowing you to fetch, transform, and orchestrate data from REST services as first-class Dagster assets. The package wraps httpx for HTTP communication and integrates with pydantic for data validation, letting you define assets that pull from REST APIs and participate in Dagster's dependency graph, lineage tracking, and observability.
You use it by decorating asset functions with Dagster's @asset decorator and injecting a REST resource that handles the HTTP calls. This lets you treat external API data the same way you treat database tables or local files—as managed, versioned, observable data assets that Dagster orchestrates alongside your other pipelines. It's designed for teams building data platforms that need to ingest, combine, and monitor data from multiple REST sources.
Use it for
- Fetch data from third-party REST APIs and materialize it as Dagster assets for downstream processing.
- Build multi-stage pipelines where one asset calls a REST endpoint and passes results to dependent assets.
- Monitor and observe REST API data ingestion with Dagster's built-in lineage and observability tools.
- Integrate REST-based microservices into a unified data orchestration platform.
- Test REST integrations locally and promote them through staging to production with Dagster's environment support.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using Dagster and need to ingest or orchestrate data from REST APIs.
The package has low install friction, active maintenance, no known vulnerabilities, and Apache-2.0 licensing. It is a natural fit for Dagster users building data platforms that consume external HTTP services. Not relevant if you are not using Dagster or do not need REST API integration.
Install
dagster-rest-resources on PyPI
Before you install
Low friction install with three lightweight runtime dependencies (dagster-shared, httpx, pydantic). Active maintenance as of 2026-08-14 with no reported vulnerabilities.
Requires Python 3.10 or later (supports 3.10–3.14); httpx must be available at runtime.
License in practice
Apache-2.0 licensed under permissive terms, allowing use in commercial and proprietary projects with minimal restriction.
Quickstart
pip install dagster-rest-resources
import dagster as dg
from dagster_rest_resources import rest_api_resource
@dg.asset
def my_rest_asset(rest_api: rest_api_resource) -> dict:
return rest_api.get("https://api.example.com/data")Verify before relying
- Specific REST authentication methods supported (basic, OAuth, API keys, etc.)
- Whether this package provides pre-built connectors for common REST APIs or is a generic HTTP client wrapper
- Performance characteristics and rate-limiting or retry behavior
- Whether REST responses are automatically mapped to Dagster asset types or require manual serialization
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesdagster-sharedhttpxpydantic |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 787,825 / month, #5,060 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dagster_rest_resources-0.29.18-py3-none-any.whl
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See also dagster-webserver · dagster-fivetran · dagster-cloud-cli · dagster-ssh · dagster-graphql · dagster · dagster-docker · dagster-pandera · dagster-aws · dagster-dg-core