NumPy vs. ProGuard Comparison


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About Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.	About ProGuard: Open Source Optimizer for Java and Kotlin. ProGuard is the most popular optimizer for Java bytecode. ProGuard also provides minimal protection against reverse engineering by obfuscating the names of classes, fields and methods. ProGuard reduces the download and startup time of Android applications and improves their performance on mobile devices. ProGuard obfuscates Java applications and pre-verifies the processed code for Java Micro Edition and for Java 6 and higher. ProGuard optimizes and obfuscates Java applications for cell phones, Blu-ray players, set-top boxes and other constrained devices. ProGuard fully supports Java and Kotlin applications, enabling developers to take full advantage of these languages’ features without sacrificing performance or security. ProGuard is a command-line tool with an optional graphical user interface. ProGuard is fast: It processes small Android applications and entire runtime libraries in seconds.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Component Library solution for DevOps teams	Audience Organizations interested in an open source optimizer for Java and Kotlin
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information NumPy numpy.org	Company Information Guardsquare Founded: 2014 Belgium www.guardsquare.com/en/products/proguard
Alternatives Polars	Alternatives DoveRunner 4.0 out of 5 stars
h5py HDF5	ByteHide
broot	Quixxi 4.5 out of 5 stars
PyQtGraph	DexGuard Guardsquare
Dask View All	JavaScript Obfuscator Pro JavaScript Obfuscator View All
Categories Component Libraries Supported	Categories Application Development Supported Static Code Analysis Supported

Integrations 3LC Supported Android Not Supported Avanzai Supported Codédex Supported Coiled Supported Cython Supported Dash Supported Flower Supported Gensim Supported JAX Supported Java Not Supported Kotlin Not Supported MPI for Python (mpi4py) Supported NVIDIA FLARE Supported PyCharm Supported Spyder Supported Train in Data Supported Yandex Data Proc Supported imageio Supported scikit-learn Supported Show More Integrations View All 22 Integrations	Integrations 3LC Not Supported Android Supported Avanzai Not Supported Codédex Not Supported Coiled Not Supported Cython Not Supported Dash Not Supported Flower Not Supported Gensim Not Supported JAX Not Supported Java Supported Kotlin Supported MPI for Python (mpi4py) Not Supported NVIDIA FLARE Not Supported PyCharm Not Supported Spyder Not Supported Train in Data Not Supported Yandex Data Proc Not Supported imageio Not Supported scikit-learn Not Supported Show More Integrations View All 3 Integrations
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