NumPy vs. ruffus 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 Ruffus is a computation pipeline library for python. It is open-sourced, powerful and user-friendly, and widely used in science and bioinformatics. Ruffus is designed to allow scientific and other analyses to be automated with the minimum of fuss and the least effort. Suitable for the simplest of tasks. Handles even fiendishly complicated pipelines which would cause make or scons to go cross-eyed and recursive. No "clever magic", no pre-processing. Unambitious, the lightweight syntax which tries to do this one small thing well. Ruffus is available under the permissive MIT free software license. This permits free use and inclusion even within proprietary software. It is good practice to run your pipeline in a temporary, “working” directory away from your original data. Ruffus is a lightweight python module for building computational pipelines. Ruffus requires Python 2.6 or higher or Python 3.0 or higher.
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 Supported Mac Supported Linux Supported Cloud Not 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 Professionals in science and bioinformatics seeking a computation pipeline library solution
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 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 Free Free Version 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 Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information NumPy numpy.org	Company Information ruffus www.ruffus.org.uk
Alternatives Polars	Alternatives Thoa Thoa.io
h5py HDF5	LatchBio
broot	Seqera
PyQtGraph	Mako
Dask View All	Illumina Connected Analytics Illumina View All
Categories Component Libraries Supported	Categories Bioinformatics Supported Component Libraries Supported

Integrations 3LC Supported Avanzai Supported Codédex Supported Coiled Supported Cython Supported Dash Supported Flower Supported JAX Supported MPI for Python (mpi4py) Supported NVIDIA FLARE Supported PaizaCloud Supported PyCharm Supported Python Not Supported Spyder Supported Unify AI Supported Visual Studio Code Supported Yandex Data Proc Supported h5py Supported imageio Supported scikit-learn Supported Show More Integrations View All 22 Integrations	Integrations 3LC Not Supported Avanzai Not Supported Codédex Not Supported Coiled Not Supported Cython Not Supported Dash Not Supported Flower Not Supported JAX Not Supported MPI for Python (mpi4py) Not Supported NVIDIA FLARE Not Supported PaizaCloud Not Supported PyCharm Not Supported Python Supported Spyder Not Supported Unify AI Not Supported Visual Studio Code Not Supported Yandex Data Proc Not Supported h5py Not Supported imageio Not Supported scikit-learn Not Supported Show More Integrations View All 1 Integration
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