typeflowapp 0.0.2

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Typeflow

Typeflow is a visual, type-safe workflow engine for Python.
It turns your Python functions and classes into reusable visual nodes that can be connected to build complete systems.

You design workflows visually — Typeflow generates the orchestrator and runs it with full type validation.

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Features

Feature	Description
Visual DAG editor	React Flow UI served locally
Type-safe nodes	@node() and @node_class decorators
Deterministic lifecycle	compile → generate → run
Live execution	Real-time updates via Server-Sent Events (SSE)
Auto orchestrator	Generates src/orchestrator.py
Isolated dependencies	Project-level .venv via uv
Python-first	No external server or cloud required
Fully offline	Pure local development

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Installation

pip install typeflowapp

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Quickstart

1. Create a new project

typeflow setup my_project
cd my_project
source .venv/bin/activate    # macOS/Linux
# or
.\.venv\Scripts\activate     # Windows

2. Create your first node

typeflow create-node word_counter

Edit src/nodes/word_counter/main.py:

from typeflow import node

@node()
def word_counter(text: str) -> int:
    """Count words in a string."""
    return len(text.split())

3. Create a class node

typeflow create-class TextFormatter

Edit src/classes/TextFormatter.py:

from typeflow import node_class

@node_class
class TextFormatter:
    prefix: str = ""
    suffix: str = ""

    def format(self, text: str) -> str:
        """Apply prefix and suffix."""
        return f"{self.prefix}{text}{self.suffix}"

4. Validate all nodes

typeflow validate

5. Open the visual editor

typeflow start-ui

Navigate to: http://localhost:8000

6. Build your workflow

Drag and connect:

Input → TextFormatter.format → word_counter → Output

7. Compile, generate, and run

typeflow compile
typeflow generate
typeflow run

This builds and executes the orchestrator at src/orchestrator.py.

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Documentation

Complete documentation, examples, and guides are available at:

https://typeflow.dev (replace with your hosted MkDocs URL)

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Why Typeflow?

• Brings structure, clarity, and determinism to workflow creation
• Makes Python functions/classes visually orchestratable
• Encourages modular, strongly typed design
• Future-ready for AI-assisted node generation
• Ideal for:
  • Data pipelines
  • ETL
  • Automation
  • ML preprocessing
  • AI agents

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Contributing

Contributions are welcome!
See CONTRIBUTING.md or See Contributing from hosted Documentation for details on:

• Development workflow
• Testing standards
• Area ownership

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License

Licensed under the GNU General Public License.

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