5 Integrations with Octave

View a list of Octave integrations and software that integrates with Octave below. Compare the best Octave integrations as well as features, ratings, user reviews, and pricing of software that integrates with Octave. Here are the current Octave integrations in 2024:

  • 1
    Rayven

    Rayven

    Rayven

    Rayven is an easy-to-use SaaS platform for solving business' interoperability, real-time data + app development challenges without replacing legacy technologies, adding risk, or long development cycles. iPaaS, Data, IoT, Workflow Automation, Analytics, BI, AI, App Development + PaaS all rolled into one; Rayven simplifies the complexity of system integration, real-time data analysis + custom app development - empowering you to tackle any real-world business challenge and solve it, simply. Rayven enables you to: - Integrate Anything-to-Everything - Build Workflows + Applications, Fast - Add custom AI + Automation Anywhere Easy-to-use, universally compatible + infinitely scalable; Rayven streamlines your technology stack, is affordable for every business, and turbocharges your existing technologies to deliver on the full potential of real-time decision-making (via human or AI).
    Starting Price: $0
  • 2
    Overleaf

    Overleaf

    Overleaf (Writelatex Limited)

    There's nothing complicated or difficult for you to install, and you can start using LaTeX right now, even if you've never seen it before. Overleaf comes with a complete, ready to go LaTeX environment which runs on our servers. With Overleaf you get the same LaTeX set-up wherever you go. By working with your colleagues and students on Overleaf, you know that you're not going to hit any version inconsistencies or package conflicts.
  • 3
    JupyterLab

    JupyterLab

    Jupyter

    Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
  • 4
    Bayesforge

    Bayesforge

    Quantum Programming Studio

    Bayesforge™ is a Linux machine image that curates the very best open source software for the data scientist who needs advanced analytical tools, as well as for quantum computing and computational mathematics practitioners who seek to work with one of the major QC frameworks. The image combines common machine learning frameworks, such as PyTorch and TensorFlow, with open source software from D-Wave, Rigetti as well as the IBM Quantum Experience and Google's new quantum computing language Cirq, as well as other advanced QC frameworks. For instance our quantum fog modeling framework, and our quantum compiler Qubiter which can cross-compile to all major architectures. All software is made accessible through the Jupyter WebUI which, due to its modular architecture, allows the user to code in Python, R, and Octave.
  • 5
    Shogun Machine Learning Toolbox
    The Shogun Machine Learning Toolbox is devoted to making machine learning tools available for free, to everyone. It provides efficient implementation of all standard ML algorithms. Shogun ensures that the underlying algorithms are transparent and accessible—a unified interface provides access via many popular programming languages, including C++, Python, Octave, R, Java, Lua, C#, and Ruby.
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