Community

Intake is used and developed by individuals at a variety of institutions. It is open source (license) and sits within the broader Python numeric ecosystem commonly referred to as PyData or SciPy.

Discussion

Conversation happens in the following places:

  1. Usage questions are directed to Stack Overflow with the #intake tag. Intake developers monitor this tag.

  2. Bug reports and feature requests are managed on the GitHub issue tracker. Individual intake plugins are managed in separate repositories each with its own issue tracker. Please consult the Plugin Directory for a list of available plugins.

  3. Chat occurs on at gitter.im/ContinuumIO/intake. Note that because gitter chat is not searchable by future users we discourage usage questions and bug reports on gitter and instead ask people to use Stack Overflow or GitHub.

  4. Monthly developer meeting happens the first Thursday of the month at 9:00 US Central Time in this video meeting. Meeting notes are available at https://docs.google.com/document/d/1GVcqubeTGICQzPGq_BZxn2Bdtf31lnvcrRxMY3GPCPs/edit

    You can subscribe to this calendar to be notified of changes:

Asking for help

We welcome usage questions and bug reports from all users, even those who are new to using the project. There are a few things you can do to improve the likelihood of quickly getting a good answer.

  1. Ask questions in the right place: We strongly prefer the use of Stack Overflow or GitHub issues over Gitter chat. GitHub and Stack Overflow are more easily searchable by future users, and therefore is more efficient for everyone’s time. Gitter chat is strictly reserved for developer and community discussion.

    If you have a general question about how something should work or want best practices then use Stack Overflow. If you think you have found a bug then use GitHub

  2. Ask only in one place: Please restrict yourself to posting your question in only one place (likely Stack Overflow or GitHub) and don’t post in both

  3. Create a minimal example: It is ideal to create minimal, complete, verifiable examples. This significantly reduces the time that answerers spend understanding your situation, resulting in higher quality answers more quickly.