pyFAI | Fast Azimuthal Integration in Python

 by   silx-kit Python Version: 2024.5.0 License: Non-SPDX

kandi X-RAY | pyFAI Summary

kandi X-RAY | pyFAI Summary

pyFAI is a Python library. pyFAI has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyFAI has a Non-SPDX License. You can install using 'pip install pyFAI' or download it from GitHub, PyPI.

Fast Azimuthal Integration in Python
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            kandi-support Support

              pyFAI has a low active ecosystem.
              It has 78 star(s) with 85 fork(s). There are 14 watchers for this library.
              There were 3 major release(s) in the last 12 months.
              There are 147 open issues and 906 have been closed. On average issues are closed in 65 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyFAI is 2024.5.0

            kandi-Quality Quality

              pyFAI has 0 bugs and 0 code smells.

            kandi-Security Security

              pyFAI has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pyFAI code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pyFAI has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              pyFAI releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              pyFAI saves you 45437 person hours of effort in developing the same functionality from scratch.
              It has 56301 lines of code, 3714 functions and 328 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyFAI and discovered the below as its top functions. This is intended to give you an instant insight into pyFAI implemented functionality, and help decide if they suit your requirements.
            • Integrate a 2D image .
            • Prompt the user .
            • Setup the experiment settings
            • Parse command line arguments .
            • Counts the number of channels
            • Integrate an image .
            • Configure command line arguments .
            • Integrate image .
            • called on click
            • Calculates the sigma clip of the given data .
            Get all kandi verified functions for this library.

            pyFAI Key Features

            No Key Features are available at this moment for pyFAI.

            pyFAI Examples and Code Snippets

            No Code Snippets are available at this moment for pyFAI.

            Community Discussions

            No Community Discussions are available at this moment for pyFAI.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pyFAI

            You can install using 'pip install pyFAI' or download it from GitHub, PyPI.
            You can use pyFAI like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install pyFAI

          • CLONE
          • HTTPS

            https://github.com/silx-kit/pyFAI.git

          • CLI

            gh repo clone silx-kit/pyFAI

          • sshUrl

            git@github.com:silx-kit/pyFAI.git

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