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TerraVision

Cloud architecture diagrams generated from terraform plan, with official AWS, Azure, GCP icons

Open source Open in the app JSON README (API)

About

Cloud architecture diagrams generated from terraform plan, with official AWS, Azure, GCP icons

Details

Kind
MCP servers
Topic
Cloud & DevOps
Publisher
patrickchugh
Origin
official
Category
ferramentas
Transport
local
Version
0.47.0
Stars
1,625
Forks
175
Open pull requests
1
Last push
2026-09-04T14:05:21Z
Repository state
ativo
Language
Python
License
AGPL-3.0
Added
2026-08-29 04:00:59
Updated
2026-09-04 15:00:38
Origin id
io.github.patrickchugh/terravision

README

# TerraVision

<!-- mcp-name: io.github.patrickchugh/terravision -->

**Turn Terraform code into professional cloud architecture diagrams that stay in sync with your infrastructure — automatic, secure, living documents**

[![lint-and-test](https://github.com/patrickchugh/terravision/actions/workflows/lint-and-test.yml/badge.svg)](https://github.com/patrickchugh/terravision/actions/workflows/lint-and-test.yml)
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**📖 [Full documentation site →](https://patrickchugh.github.io/terravision/)**

---

## Watch a 4-Minute Intro

[![TerraVision intro video](./images/youtube-thumbnail.png)](https://youtu.be/bTrWHBI2mF4)

---
## What is TerraVision?

TerraVision automatically converts your Terraform code into professional-grade cloud architecture diagrams using the official AWS, GCP, and Azure icon sets. Your diagrams stay in sync with your infrastructure — no more outdated Visio, draw.io or Lucidchart files.

## Why TerraVision?

- ✅ **Always up-to-date** — diagrams generated directly from your Terraform code
- ✅ **100% client-side** — no cloud access required, runs locally, your code never leaves your machine
- ✅ **CI/CD ready** — automate diagram updates on every PR merge
- ✅ **Free & open source** — no expensive diagramming tool licenses
- ✅ **Multi-cloud** — AWS (full), GCP, and Azure (core services)
- ✅ **Interactive HTML output** — clickable nodes, pan/zoom, search, animated data flow
- ✅ **Editable draw.io export** — open in draw.io, Lucidchart, or any mxGraph editor
- ✅ **Optional AI annotations** — labels, titles, and flow sequences from Ollama (local) or AWS Bedrock
- ✅ **Terragrunt compatible** — auto-detects single- and multi-module Terragrunt projects
- ✅ **MCP server** — let AI agents generate diagrams from your Terraform, [see the guide](docs/mcp-server.md)

---

## Supported Cloud Providers

| Provider         | Status             | Resources     |
| ---------------- | ------------------ | ------------- |
| **AWS**          | ✅ Full support    | 200+ services |
| **Google Cloud** | 🔄 Partial support | Core services |
| **Azure**        | 🔄 Partial support | Core services |

---

## Quick Start

### Install

```bash
pipx install terravision   # or: pip install terravision if in a virtual env
```

You also need **Python 3.10+**, **Terraform 1.x**, **Graphviz**, and **Git**. See the [Installation Guide](https://patrickchugh.github.io/terravision/installation/) for platform-specific instructions, Docker, and Nix.

### Generate your first diagram

```bash
git clone https://github.com/patrickchugh/terravision.git
cd terravision

# EKS cluster example
terravision draw --source tests/fixtures/aws_terraform/eks_automode --show

# Azure VM scale set
terravision draw --source tests/fixtures/azure_terraform/test_vm_vmss --show

# From a public Git repo (note the // for subfolder)
terravision draw --source https://github.com/patrickchugh/terraform-examples.git//aws/wordpress_fargate --show
```

That's it — your diagram is saved as `architecture.png` and opens automatically.

### Generate an interactive HTML diagram

```bash
terravision visualise --source ./path-to-your-terraform --show
```

Click any resource to see its Terraform metadata, search resources, pan/zoom, and watch animated data flow on edges. The HTML is a single self-contained file that works fully offline.

---

## Try the Interactive Demos

Click any of these to see the interactive HTML output TerraVision produces:

- 🟧 **[AWS demo](https://patrickchugh.github.io/terravision/demo-aws.html)** — Wordpress on ECS Fargate with CloudFront, RDS, EFS
- 🟦 **[Azure demo](https://patrickchugh.github.io/terravision/demo-azure.html)** — VM scale set with load balancer and VNet
- 🟩 **[GCP demo](https://patrickchugh.github.io/terravision/demo-gcp.html)** — Core GCP networking and compute

---

## Basic Usage

### Generate a diagram

```bash
# From a local directory
terravision draw --source ./path-to-your-terraform

# From a Git repository
terravision draw --source https://github.com/user/repo.git

# Custom format and filename
terravision draw --source ./path-to-your-terraform --format svg --outfile my-architecture

# Editable draw.io file
terravision draw --source ./path-to-your-terraform --format drawio --outfile my-architecture
```

### Use a pre-generated Terraform plan (no cloud credentials needed)

```bash
# Step 1: in your Terraform environment
terraform plan -out=tfplan.bin
terraform show -json tfplan.bin > plan.json
terraform graph > graph.dot

# Step 2: diagram generation, no Terraform or cloud access required
terravision draw --planfile plan.json --graphfile graph.dot --source ./path-to-your-terraform
```

### AI-powered annotations (optional)

```bash
terravision draw --source ./path-to-your-terraform --ai-annotate ollama   # local LLM (no data leaves your machine)
terravision draw --source ./path-to-your-terraform --ai-annotate bedrock  # AWS Bedrock via boto3 (uses your AWS credentials)
terravision draw --source ./path-to-your-terraform --ai-annotate restapi  # any OpenAI-compatible endpoint (OpenAI, LiteLLM, vLLM, ...)
```

Only metadata and the summary graph are sent to the LLM — never your `.tf` source. The `bedrock` backend authenticates via the standard AWS credential chain (no infrastructure to deploy); `restapi` is configured via `TV_RESTAPI_URL`, `TV_RESTAPI_KEY`, and `TV_RESTAPI_MODEL`. See the [Annotations Guide](https://patrickchugh.github.io/terravision/annotations/) and [AI-Powered Annotations](https://patrickchugh.github.io/terravision/usage-guide/#ai-powered-annotations) for the full configuration.

### Simplified view

```bash
terravision draw --source ./path-to-your-terraform --simplified
```

Strips VPCs, subnets, and networking plumbing. Great for executive presentations.

### Common options

``terravision --help`` shows full help text details. 

| Option          | Description                                                                | Example                             |
| --------------- | -------------------------------------------------------------------------- | ----------------------------------- |
| `--source`      | Terraform directory or Git URL                                             | `./path-to-your-terraform`                       |
| `--format`      | Output format: `png`, `svg`, `pdf`, `drawio`, [and more][formats]          | `svg`                               |
| `--outfile`     | Output filename                                                            | `my-architecture`                   |
| `--workspace`   | Terraform workspace                                                        | `production`                        |
| `--varfile`     | Variable file (repeatable)                                                 | `prod.tfvars`                       |
| `--planfile`    | Pre-generated plan JSON                                                    | `plan.json`                         |
| `--graphfile`   | Pre-generated graph DOT                                                    | `graph.dot`                         |
| `--ai-annotate` | AI annotation backend                                                      | `ollama`, `bedrock`, `restapi`      |
| `--simplified`  | High-level view (no networking)                                            | (flag)                              |
| `--show`        | Open after generation                                                      | (flag)                              |

[formats]: https://patrickchugh.github.io/terravision/usage-guide/#output-formats

---

## Documentation

The complete documentation lives at **[patrickchugh.github.io/terravision](https://patrickchugh.github.io/terravision/)**.

**For users:**
- [Installation Guide](docs/installation.md)
- [Usage Guide](docs/usage-guide.md)
- [Annotations Guide](docs/annotations.md)
- [CI/CD Integration](docs/cicd-integration.md)
- [MCP Server Guide](docs/mcp-server.md)
- [FAQ](docs/faq.md)
- [Troubleshooting](docs/troubleshooting.md)

**For contributors:**
- [Contributing Guide](docs/CONTRIBUTING.md)
- [Developer Guide](docs/developer-guide.md)
- [Resource Handler Guide](docs/resource-handler-guide.md)
- [Project Constitution](docs/constitution.md)

---

## FAQ

Common questions — cloud credentials, LLM data privacy, offline use, Terragrunt, output formats, and more — are answered in the **[FAQ on the documentation site](https://patrickchugh.github.io/terravision/faq/)**.

---

## Contributing

Contributions are very welcome. See [CONTRIBUTING.md](docs/CONTRIBUTING.md) for development setup, coding standards, and the PR process.

## Support

- **Issues**: [GitHub Issues](https://github.com/patrickchugh/terravision/issues)
- **Discussions**: [GitHub Discussions](https://github.com/patrickchugh/terravision/discussions)
- **Documentation**: [patrickchugh.github.io/terravision](https://patrickchugh.github.io/terravision/)

## License

See [LICENSE](LICENSE).

## Acknowledgments

- [Graphviz](https://graphviz.org/) — diagram rendering
- [Terraform](https://www.terraform.io/) — infrastructure parsing
- [Terragrunt](https://terragrunt.gruntwork.io/) — multi-module orchestration
- Cloud provider icons from official AWS, GCP, and Azure icon sets

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