dlubal.api 2.9.4

Python Client Library for Dlubal Software APIs powered by gRPC

Dlubal API 2.0

Overview

The dlubal.api package is the next-generation Python client library for interacting with Dlubal Software APIs, leveraging modern gRPC technology to deliver high-speed communication, scalability, and improved performance. This API enables seamless automation and remote access to Dlubal software like RFEM 6, with near future support for RSTAB 9 and RSECTION 1.

Key Features

• Unified API: Works across all Dlubal applications, starting with RFEM.
• Performance Boost: 5-10x faster execution than previous implementations.
• Seamless Model Export: Generate Python scripts directly from RFEM models.
• Blocks & Components: Define reusable components for efficient model parametrization.
• AI-Driven Tools: Leverage AI-based features (e.g., MIA powered by structured data).
• Flexible Licensing: Supports on-premises and cloud-based workflows.
• Secure & Scalable: API authentication via API keys, with fine-grained access control.

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Installation

Ensure you have Python 3.10+ installed. Then, install the package via pip:

pip install dlubal.api

For additional installation options, refer to the official documentation.

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Quick Start

Authentication & Authorization

To access the API, you need:

• Authentication: API Keys which can be generated in your Extranet user account under the API & Cloud Dashboard.
• Authorization: Active API Service subscription (license-based).

Be aware, certain API methods are monetized by API Credits!.

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Example Usage

import dlubal.api.rfem

with rfem.Application(api_key="your_api_key") as rfem_app:
    # Example API call
    rfem_app.create_model("MyModel")
    rfem_app.create_object(
        rfem.structure_core.Node(coordinate_1=2)
    )

Documentation & Support

• 📖 API Documentation: API Docs
• 💬 Support: Contact Dlubal Support
• 🔑 Extranet: API & Cloud Dashboard

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License

This package is proprietary software and requires an active API Service subscription. Unauthorized use is prohibited.