+++
title = "Community"
description = "About the Kubeflow Community"
weight = 4
aliases = ["/docs/community/"]
+++

In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to make participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, gender identity and expression, level of
experience, education, socio-economic status, nationality, personal appearance,
race, religion, or sexual identity and orientation.

The Kubeflow community is guided by our [Code of
Conduct](https://github.com/kubeflow/community/blob/master/CODE_OF_CONDUCT.md),
which we encourage everybody to read before participating. We hold our leaders
accountable for the guidelines in
[this document](https://github.com/kubeflow/community/blob/master/INCLUSIVITY.md).

## Community discussions

There are many ways to contribute! Join one of our communication channels, 
attend a community meeting, get to know the community, discuss updates, suggest
exciting new integrations.

### Community meetings

[**Meeting calendar**](https://calendar.google.com/calendar/embed?src=kubeflow.org_7l5vnbn8suj2se10sen81d9428%40group.calendar.google.com&ctz=America%2FLos_Angeles) ([iCal version](https://calendar.google.com/calendar/ical/kubeflow.org_7l5vnbn8suj2se10sen81d9428%40group.calendar.google.com/public/basic.ics)).

[Meeting notes](http://bit.ly/kf-meeting-notes).

If your group has a regular meeting, talk to
[@ewilderj](https://github.com/ewilderj) about getting it added to the calendar.

### Kubeflow community call

The project team holds a weekly community call on Tuesdays. This call alternates
weekly between US East/EMEA and US West/APAC friendly times. Joining the
[kubeflow-discuss](https://groups.google.com/forum/#!forum/kubeflow-discuss)
mailing list will automatically send you calendar invitations for the meetings, or you can subscribe to the community meeting calendar above.

Agenda, notes, and a reminder of the next call are sent to the kubeflow-discuss
mailing list.

### Forums and mailing groups

Summary:

* [Invitation to our Slack channel](https://join.slack.com/t/kubeflow/shared_invite/enQtNDg5MTM4NTQyNjczLTdkNTVhMjg1ZTExOWI0N2QyYTQ2MTIzNTJjMWRiOTFjOGRlZWEzODc1NzMwNTMwM2EzNjY1MTFhODczNjk4MTk)
* [Twitter](http://twitter.com/kubeflow)
* [Mailing list: kubeflow-discuss](https://groups.google.com/forum/#!forum/kubeflow-discuss)

<br>
More detail:

| Topic                                                           | Mailing list                                                                      | Slack                                                                                             |
| :----                                                           | :------------                                                                     | :-------------                                                                                    |
| General discussion                                              | [kubeflow-discuss](https://groups.google.com/forum/#!forum/kubeflow-discuss)      | [#general](https://kubeflow.slack.com/messages/C7REE0EHK)                                         |
| TF Operator ([GitHub](https://github.com/kubeflow/tf-operator)) | [tf-operator](https://groups.google.com/a/kubeflow.org/forum/#!forum/tf-operator) | [#tf-operator](https://kubeflow.slack.com/messages/https://kubeflow.slack.com/messages/C985VJN9F) |
| Community meeting chat                                          | n/a                                                                               | [#community](https://kubeflow.slack.com/messages/C8Q0QJYNB)                                       |

Slack server: [kubeflow.slack.com](https://kubeflow.slack.com/)

## Who should consider contributing to Kubeflow?

* Folks who want to add support for other ML frameworks (e.g. PyTorch, XGBoost, scikit-learn, etc...)
* Folks who want to bring more Kubernetes magic to ML (e.g. ISTIO integration for prediction)
* Folks who want to make Kubeflow a richer ML platform (e.g. support for ML pipelines, hyperparameter tuning)
* Folks who want to tune Kubeflow for their particular Kubernetes distribution or Cloud
* Folks who want to write tutorials or blog posts showing how to use Kubeflow to solve ML problems

For details on contributing please look at [the contributor's guide](/docs/about/contributing/).
