When: March 19, 2018 - April 16, 2018

Where: Anywhere

Join us at our second Visualization Virtual Hackathon to learn, network, and compete for prizes. We will provide all the tools, access to subject matter experts, and a ready-to-start environment. Just show up with your ideas and energy to develop some amazing visualizations in this 4 week event!

The hackathon will focus around adding new and innovative extensions to the OSIsoft visualization platform, PI Vision. You are free to use any of your own data or use one of our provided environments that will include several Asset Based Example Kits. At the end, your application will be judged by a group of experts. The top applications will be awarded prizes, and you and your team will be publicly recognized for the achievement.

For questions and discussions about the event, please check out our Hackathons space in PI DevClub. This will be the best medium to have your questions answered. In case you prefer to discuss something privately about this event, please contact pidevclub@osisoft.com.

Q: Who is this hackathon for?

A: If you are a PI System developer, architect, integrator, idea person, subject matter expert, data scientist, or a technologist interested in data visualization, this event is for you.

Q: How do I sign up? What is the flow of the event?

A: Once you decide to join the hackathon, we ask you to sign up you and your teammates (up to 4 people per team) on this sheet. You can then start the work on your project while engaging with us and the rest of the hackers in this space. We highly encourage you to continuously follow this space because we will be posting updates and news about the event there. You are expected to submit your entry and other requirements by the end date of the event through GitHub. We will judge the entries and announce the winners at PI World 2018 in San Francisco.

Q: What do I need to bring?

A: For this hackathon, OSIsoft will be hosting a sneak peek version of PI Vision 4.x on Microsoft Azure for all contestants to use. For development, you will be able to use your own development environment.

Q: How do I submit my entry?

A: All submissions will be done through PI Square. In order to submit your project you will need to create a blog post; you can save it as a draft and make it public at the end of the event. Your post should include:

  • A description of the general purpose of your project, including who and why someone would use it
  • A picture of your project in use
  • A video that demonstrates your project, http://camstudio.org/ is a nice screen capturing tool
  • A link to your GitHub repository where your source code is located. Please note that all source code must be published under the Apache 2.0 license.

 

Q: Is GitHub required?

A: Yes, to be accepted all contributions must be hosted on GitHub. We are making this a prerequisite to facilitate collaboration within the community. You or one of your team members will need a GitHub account, and you will need to create a new repository in your personal GitHub account to host your work. For more information about using GitHub, you can look at their contributing guidelines, https://github.com/osisoft/contributing.

 

Q: How will the judging take place? A: Judging for the event will  be based on your video submission as well as the following criteria:

  • Creativity and Originality
  • Potential Business Impact
  • Technical Implementation
  • Data Analysis and Insight
  • UI/UX

 

We will also have a bonus category for best Data Science application at this year's hackathon, complete with its own prize.

 

Q: What will I win?

A: Each member of the winning teams will receive

 

First Place: Nest Thermostat, Google Home, 3 Google Home Minis, and a Chromecast Ultra.

Second Place: Google Home, 3 Google Home Minis, and a Chromecast Ultra.

Third Place: Google Home, 1 Google Home Mini, and a Chromecast Ultra.

 

Best Data Science App: Google Home

Q: Does this replace the traditional hackathon held at the UC?

A: No, we will still be holding our regular hackathon at the UC this year.

 

Q: How can I learn more?

A: Check out the recording of our webinar for more details about the Visualization Virtual Hackathon 2018. There will also be a sneak peek into PI Vision 4 extensibility on March 8th.