pulumiverse-grafana
A Pulumi package for creating and managing grafana.
Decision gist · record as of 2026-08-14
Yes, if you use Pulumi and need to manage Grafana resources as code. The package is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. Install it only if you're already committed to Pulumi as your IaC framework—it's a specialized tool for that ecosystem, not a general Grafana client.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Pulumi CLI to be installed and configured first; Python 3.9 or later.
- Low install friction with a pure-Python wheel distribution.
- The package is actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), so you can use, modify, and distribute this package freely in both open-source and proprietary projects without significant legal restrictions.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 33 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 119,611 downloads/mo, #12,061 on PyPI
Alternatives
Verify before relying
pip install pulumiverse_grafana
import pulumi
import pulumiverse_grafana as grafana
# Create a Grafana resource via Pulumi
resource = grafana.SomeResource("name", ...)- Which specific Grafana resources (dashboards, alerts, data sources, etc.) are actually supported by this provider version.
- Whether the provider supports all current Grafana API features or only a subset.
- Performance characteristics when provisioning large numbers of Grafana resources.
What it is and what it does
This is a Pulumi resource provider that bridges Grafana and infrastructure-as-code workflows. It lets you define Grafana resources—dashboards, alerts, data sources, and other Grafana objects—in Python code using Pulumi's declarative model, then deploy and manage them the same way you would cloud infrastructure. You write Python code, Pulumi handles the state tracking and reconciliation against your Grafana instance.
The package depends on pulumi as its core orchestration engine, plus parver, semver, and typing-extensions for version handling and type hints. It's designed for teams that want to version-control their Grafana configuration, automate dashboard creation, or manage monitoring infrastructure as part of a larger infrastructure-as-code stack. The package is actively maintained and carries no known security vulnerabilities.
Use it for
- Automate creation and updates of Grafana dashboards as part of a larger infrastructure deployment.
- Version-control your Grafana configuration (dashboards, alerts, data sources) in Git alongside other infrastructure code.
- Provision monitoring infrastructure for new environments or services programmatically using Pulumi.
- Manage Grafana resources across multiple instances or organizations from a single codebase.
- Integrate Grafana setup into CI/CD pipelines for repeatable, auditable monitoring deployments.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Pulumi and need to manage Grafana resources as code.
The package is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. Install it only if you're already committed to Pulumi as your IaC framework—it's a specialized tool for that ecosystem, not a general Grafana client.
Install
pulumiverse-grafana on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. The package is actively maintained with a recent release and no known vulnerabilities. Four runtime dependencies (parver, pulumi, semver, typing-extensions) are all standard ecosystem packages.
Requires Pulumi CLI to be installed and configured first; Python 3.9 or later.
License in practice
Licensed under Apache-2.0 (permissive), so you can use, modify, and distribute this package freely in both open-source and proprietary projects without significant legal restrictions.
Quickstart
pip install pulumiverse_grafana
import pulumi
import pulumiverse_grafana as grafana
# Create a Grafana resource via Pulumi
resource = grafana.SomeResource("name", ...)
Verify before relying
- Which specific Grafana resources (dashboards, alerts, data sources, etc.) are actually supported by this provider version.
- Whether the provider supports all current Grafana API features or only a subset.
- Performance characteristics when provisioning large numbers of Grafana resources.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesparverpulumisemvertyping-extensions |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 119,611 / month, #12,061 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: pulumiverse_grafana-2.39.0-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 › “pulumi grafana provider”
- pulumiverse-grafanaA Pulumi resource provider that lets you create and manage Grafana…
- pulumiverse-timeA Pulumi resource provider that lets you manage time-based resources…
- pulumi-aws-nativePulumi AWS Cloud Control Provider enables infrastructure-as-code…
Give your agent the search over MCP, or paste the wish link into any chat.
More Monitoring packages
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.
Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.
Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.
Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.
Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.
Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.
Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.
Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.
See also pulumi-docker · pulumiverse-time · grafanalib · pulumi-tls · pulumi-tailscale · pulumi-docker-build · pulumi-command · pulumi-github · pulumi-awsx · pulumi-random