https://github.com/datarobot-community/app-framework

Framework for creating and updating App Templates
https://github.com/datarobot-community/app-framework

dr-engineering

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Framework for creating and updating App Templates

• Host: GitHub
• URL: https://github.com/datarobot-community/app-framework
• Owner: datarobot-community
• License: apache-2.0
• Created: 2025-03-21T21:52:34.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2026-05-29T13:40:45.000Z (about 1 month ago)
• Last Synced: 2026-05-29T15:07:34.789Z (about 1 month ago)
• Topics: dr-engineering
• Language: Python
• Homepage: http://af.datarobot.com/
• Size: 4.45 MB
• Stars: 5
• Watchers: 8
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Codeowners: .github/CODEOWNERS
  • Authors: AUTHORS

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App Framework Studio




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Tooling to apply and update App Framework components.

## Which skill pack?

DataRobot publishes two skill packs for coding assistants. They share words like "agent," "deployment," and "DataRobot," but target different workflows — install the pack that matches your task (you can install both).

| You want to… | Skill pack | Install |

|--------------|------------|---------|

| Build or deploy **App Framework** recipes (Studio): `af-component-*`, `dr component add`, `uvx copier copy`, LLM Gateway, CrewAI/LangGraph/LlamaIndex agents, Custom Applications (`dr task deploy`) | **This repository** (App Framework Studio) | `npx ai-agent-skills install datarobot-community/app-framework` |

| **Tabular ML** on the DataRobot platform: AutoML training, model deployments for predictions, batch scoring, feature engineering, drift monitoring, SHAP / explainability | [datarobot-agent-skills](https://github.com/datarobot-oss/datarobot-agent-skills) (OSS ML pack) | `npx ai-agent-skills install datarobot-oss/datarobot-agent-skills` |

> In this pack, **agent** means an LLM agentic app in a recipe; **deployment** means a Custom Application. In the OSS pack, **deployment** usually means an ML model deployment for predictions.

## Installing skills

Install all skills from this repository into your AI agent using [`ai-agent-skills`](https://github.com/skillcreatorai/Ai-Agent-Skills):

```bash

npx ai-agent-skills install datarobot-community/app-framework

```

## Components

| Component | Description |

|-----------|-------------|

| [`af-component-base`](https://github.com/datarobot-community/af-component-base) | Task runner, Pulumi project, CI/CD, `.datarobot/` config. |

| [`af-component-fastapi-backend`](https://github.com/datarobot-community/af-component-fastapi-backend) | FastAPI server and Custom App deployment. |

| [`af-component-react`](https://github.com/datarobot-community/af-component-react) | React frontend. |

| [`af-component-llm`](https://github.com/datarobot-community/af-component-llm) | LLM Gateway / external model integration. |

| [`af-component-agent`](https://github.com/datarobot-community/af-component-agent) | Agentic workflows (CrewAI, LangGraph, LlamaIndex). |

| [`af-component-datarobot-mcp`](https://github.com/datarobot-community/af-component-datarobot-mcp) | FastMCP server with DataRobot predictive tools and third-party integrations. |

## Development

See the [Developer Guide](https://af.datarobot.com/developer/) for setup instructions, running docs locally, and using `copier-watch` to iterate on component templates.