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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Vydáno v:PeerJ. Computer science Ročník 4; s. e149
Hlavní autoři: Fernique, Pierre, Pradal, Christophe
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States PeerJ. Ltd 02.04.2018
PeerJ, Inc
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Témata:
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
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Abstract 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.
AbstractList 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.
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.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.
ArticleNumber e149
Audience Academic
Author Pradal, Christophe
Fernique, Pierre
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CitedBy_id crossref_primary_10_1016_j_envsoft_2021_105055
crossref_primary_10_1093_insilicoplants_diaa007
Cites_doi 10.1007/s00180-013-0422-9
10.7717/peerj.453
10.1504/IJCSE.2009.029165
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ContentType Journal Article
Copyright 2018 Fernique and Pradal.
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Keywords C++
Automatic bindings generation
Python
Engineering
Transpiler
Scientific Computing and Simulation
Programming Languages
Software
Subjects Data Science
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Snippet Most of Python and R scientific packages incorporate compiled scientific libraries to speed up the code and reuse legacy libraries. While several...
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SubjectTerms 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
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Title AutoWIG: automatic generation of python bindings for C++ libraries
URI https://www.ncbi.nlm.nih.gov/pubmed/41064161
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