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NiPyPE

  • Q: I'd like to participate. How do I begin?

    • [X]

      • Tip:

        Talk about diverse kinds of contributions. Include URLs if relevant (we'll automatically linkify them).

      • Examples:

        Here's how to download and patch our codes…

        Read about our death-defying mailing list and momentous IRC channel at http://lobstermag.net.

  • Q: Other than writing code, how can I contribute?

    • [X]

      • Tip:

        Discuss documentation, testing, webmastering, and/or publicity.

        Include URLs if relevant (we'll automatically linkify them).

      • Example:

        We need people to download version 0.4.5 and make sure the frobulator still frobulates correctly.

  • Q: What's a good bug for a newcomer to tackle?

    • [X]

      • Tip:

        Many projects have good small tasks that can teach newcomers how the project works. Now's your chance to share one of them!

        Include URLs if relevant (we'll automatically linkify them).

      • Example:

        Someone could improve the photo upload dialog box so that it lets you resize the photo before sending it to the web.

  • Q: What is a bug or issue with NiPyPE that you've been putting off, neglecting, or just plain avoiding?

    • [X]

      • Examples:

        I don't know how to get started with internationalizing my app.

        Bug 392 about printing was filed five years ago, and I don't even know if printing still works.

        I want help from a C coder writing a Maildir patch for Alpine.

      • Note:

        If this issue was formally filed on the web, be sure to include the URL.

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About NiPyPE

(logo)

Nipype, an open-source, community-developed initiative under the umbrella of NiPy, is a Python project that provides a uniform interface to existing neuroimaging software and facilitates interaction between these packages within a single workflow. Nipype provides an environment that encourages interactive exploration of algorithms from different packages (e.g., SPM, FSL, FreeSurfer, AFNI, Slicer), eases the design of workflows within and between packages, and reduces the learning curve necessary to use different packages. Nipype is creating a collaborative platform for neuroimaging software development in a high-level language and addressing limitations of existing pipeline systems.

from the profile of Michael Hanke (hanke)

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