dagster-msteams
A Microsoft Teams client resource for posting to Microsoft Teams
Decision gist · record as of 2026-08-14
Yes, if you use Dagster and Teams and want direct integration between them. The package is actively maintained, has no known vulnerabilities, installs with low friction, and carries a permissive license. It's a straightforward add-on to Dagster's resource ecosystem with no notable downsides for Teams users.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Microsoft Teams webhook URL configured in your Teams channel to send messages.
- Low install friction with a pure-Python wheel.
- Actively maintained as part of the Dagster ecosystem with a recent release and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache 2.0 permissive license allows use in commercial and proprietary projects with minimal restrictions.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 15,996 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 102,985 downloads/mo, #12,833 on PyPI
Alternatives
Verify before relying
pip install dagster-msteams
import dagster as dg
from dagster_msteams import MSTeamsResource
@dg.asset
def my_asset() -> None:
pass
defs = dg.Definitions(
assets=[my_asset],
resources={"msteams": MSTeamsResource(hook_url="https://outlook.webhook.office.com/...")}
)- Whether the resource supports message formatting, attachments, or adaptive cards beyond plain text.
- Whether it handles Teams API rate limits or retry logic automatically.
- Whether it works with Teams channels, group chats, or direct messages.
What it is and what it does
dagster-msteams is a Dagster resource that integrates Microsoft Teams with your data orchestration workflows. It lets you send notifications and alerts to Teams channels directly from your Dagster assets and jobs, enabling real-time communication about pipeline status, failures, or completion events.
The package wraps Teams webhook functionality into a Dagster resource that you can inject into your assets and ops. It depends on Dagster itself and the requests library for HTTP communication. It's designed for teams running Dagster in production who want to route pipeline notifications to Teams instead of or alongside other alerting channels.
Use it for
- Send alerts to a Teams channel when a critical data asset fails or completes in production.
- Notify team members of data quality issues detected during pipeline execution.
- Post summary messages to Teams after scheduled jobs finish, including row counts or data lineage.
- Integrate Dagster observability with existing Teams-based incident response workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Dagster and Teams and want direct integration between them.
The package is actively maintained, has no known vulnerabilities, installs with low friction, and carries a permissive license. It's a straightforward add-on to Dagster's resource ecosystem with no notable downsides for Teams users.
Install
dagster-msteams on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained as part of the Dagster ecosystem with a recent release and no known vulnerabilities.
Requires a Microsoft Teams webhook URL configured in your Teams channel to send messages.
License in practice
Apache 2.0 permissive license allows use in commercial and proprietary projects with minimal restrictions.
Quickstart
pip install dagster-msteams
import dagster as dg
from dagster_msteams import MSTeamsResource
@dg.asset
def my_asset() -> None:
pass
defs = dg.Definitions(
assets=[my_asset],
resources={"msteams": MSTeamsResource(hook_url="https://outlook.webhook.office.com/...")}
)Verify before relying
- Whether the resource supports message formatting, attachments, or adaptive cards beyond plain text.
- Whether it handles Teams API rate limits or retry logic automatically.
- Whether it works with Teams channels, group chats, or direct messages.
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 | 2 packagesdagsterrequests |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 102,985 / month, #12,833 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dagster_msteams-0.29.18-py3-none-any.whl
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See also dagster-slack · dagster · dagster-aws · dagster-cloud-cli · dagster-dg-core · dagster-webserver · dagster-rest-resources · dagster-azure · dagster-graphql · dagster-docker