Python Physics Software for Mac

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Browse free open source Python Physics Software for Mac and projects below. Use the toggles on the left to filter open source Python Physics Software for Mac by OS, license, language, programming language, and project status.

  • The Complete PDF SDK Icon
    The Complete PDF SDK

    Bring PDF viewing, annotating, editing, creation, and generation to any web, mobile, desktop or server framework or application.

    Bring accurate PDF viewing, annotating, editing, creation, and generation to any web, mobile, desktop or server framework or application. Own the full document and data lifecycle by deploying on your own infrastructure without worrying about third-party server dependencies.
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  • No-code email and landing page creation Icon
    No-code email and landing page creation

    Make campaign creation fast and easy with Knak

    Built for speed and collaboration, Knak streamlines campaign production with modular templates, real-time editing, simple collaboration, and seamless integrations with leading MAPs like Adobe Marketo Engage, Salesforce Marketing Cloud, Oracle Eloqua, and more. Whether you're supporting global teams or launching fast-turn campaigns, Knak helps you go from brief to build in minutes—not weeks. Say goodbye to bottlenecks and hello to marketing agility.
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  • 1
    Surya

    Surya

    Implementation of the Surya Foundation Model for Heliophysics

    Surya is an open‑source, AI‑based foundation model for heliophysics developed collaboratively by NASA (via the IMPACT AI team) and IBM. Named after the Sanskrit word for “sun,” Surya is trained on nine years of high‑resolution solar imagery from NASA’s Solar Dynamics Observatory (SDO). It is designed to forecast solar phenomena—such as flares, solar wind, irradiance, and active region behavior—by predicting future solar images with a sophisticated long–short vision transformer architecture, thereby enabling improved space weather forecasting. Foresees solar flares, wind, EUV spectra, and active region formation in advance. Achieves approximately 16% improvement in forecasting accuracy over traditional methods. 366-million‑parameter foundation model capturing general-purpose solar representations.
    Downloads: 1 This Week
    Last Update:
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