https://github.com/CadQuery/OCP

https://github.com/CadQuery/OCP

b-rep brep cad occt opencascade python

Last synced: about 2 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/CadQuery/OCP
• Owner: CadQuery
• License: apache-2.0
• Created: 2019-12-17T20:02:11.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-04-02T15:36:57.000Z (3 months ago)
• Last Synced: 2024-04-02T20:33:56.091Z (3 months ago)
• Topics: b-rep, brep, cad, occt, opencascade, python
• Language: C++
• Homepage:
• Size: 27 MB
• Stars: 76
• Watchers: 12
• Forks: 25
• Open Issues: 25
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-cadquery - OCP - based CAD (Extensions and Plugins)

README

        
# OCP

[![Build Status](https://dev.azure.com/cadquery/OCP/_apis/build/status/CadQuery.OCP?branchName=master)](https://dev.azure.com/cadquery/OCP/_build/latest?definitionId=5&branchName=master)

[![Anaconda-Server Badge](https://anaconda.org/cadquery/ocp/badges/installer/conda.svg)](https://conda.anaconda.org/cadquery)

Python wrapper for OCCT generated using pywrap. Typing stubs available [here](https://github.com/CadQuery/OCP-stubs).

## Goals

* Provide thin bindings to OCCT.

* Wrap all OCCT modules (if practical).

* React quickly to new OCCT releases.

* Cater primarily for the CadQuery project.

## Non-goals

* Provide additional functionality not present in OCCT

## Installation

The easiest way to get started is to use conda:

```

conda install -c conda-forge -c cadquery ocp

```

Generating and building from sources is also possible using https://github.com/CadQuery/pywrap , but not advised.

```

pywrap all ocp.toml

cmake -S OCP -B build

cmake --build build

```

To generate the bindings you'll need to use packages version specified in the `environment.devenv.yml` file and you might need to specify additional headers and libclang location for pywrap.

```

pywrap -i path1/include -i path2/include -l path/to/libclang.so all ocp.toml

```

Building from the released sources without the generation step is possible too. Note that this is how the conda-forge package is built.