AutoWIG: automatic generation of python bindings for C++ libraries

Most of Python and R scientific packages incorporate compiled scientific libraries to speed up the code and reuse legacy libraries. While several semi-automatic solutions exist to wrap these compiled libraries, the process of wrapping a large library is cumbersome and time consuming. In this paper,...

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Bibliographic Details
Published in:PeerJ. Computer science Vol. 4; p. e149
Main Authors: Fernique, Pierre, Pradal, Christophe
Format: Journal Article
Language:English
Published: United States PeerJ. Ltd 02.04.2018
PeerJ, Inc
PeerJ
PeerJ Inc
Subjects:
Analysis
Architectural engineering
Artificial intelligence
Automatic bindings generation
Automation
Batch processing
C plus plus
C++
C++ (Programming language)
Computer programming
Computer Science
Engineering
Libraries
Linear algebra
Methods
Modeling and Simulation
Programming languages
Python
Python (Programming language)
Science
Software
France
C++
Automatic bindings generation
Python
Engineering
Transpiler
Scientific Computing and Simulation
Programming Languages
Software
Subjects Data Science
ISSN:2376-5992, 2376-5992
Online Access:Get full text
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Description
Summary:Most of Python and R scientific packages incorporate compiled scientific libraries to speed up the code and reuse legacy libraries. While several semi-automatic solutions exist to wrap these compiled libraries, the process of wrapping a large library is cumbersome and time consuming. In this paper, we introduce AutoWIG, a Python package that wraps automatically compiled libraries into high-level languages using LLVM/Clang technologies and the Mako templating engine. Our approach is automatic, extensible, and applies to complex C++ libraries, composed of thousands of classes or incorporating modern meta-programming constructs.
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ISSN:2376-5992
2376-5992
DOI:10.7717/peerj-cs.149