So I finally got the time to get this going, and it is indeed, very cool. 
One hitch though: I grabbed the source from github, and most things seemed 
to work, but the overview page errored out. It seems that it was using 
python 3 syntax for it's format strings on line 86 and 88.

86: 'avg_resources_node': "{:10.6f}".format(avg_resources_node['Value']),
87: 'mean_failed_commands': mean_failed_commands['MeanRate'],
88: 'mean_command_time': "{:10.6f}".format(mean_command_time['MeanRate']),

I added a 0 to the format specification and it worked  fine

86: 'avg_resources_node': "{0:10.6f}".format(avg_resources_node['Value']),
87: 'mean_failed_commands': mean_failed_commands['MeanRate'],
88: 'mean_command_time': "{0:10.6f}".format(mean_command_time['MeanRate']),

On Wednesday, August 7, 2013 5:47:23 AM UTC-7, Daniele Sluijters wrote:
>
> Hello everyone,
>
>
> It’s a lovely grey and rainy day here in the Dutch summer, as good a day 
> as any to release a new little project.
>
>
> Its name is Puppetboard and has as aim to replace Puppet Dashboard’s 
> reporting functionality. It does not nor will it include ENC features. It 
> does all this without storing any data itself but querying PuppetDB instead.
>
>
> The whole thing is built in Python and relies on Flask and WTForms. The 
> communication logic has been split of in its own library called pypuppetdb 
> which makes heavy use of the requests library. The interface is powered by 
> Twitter Bootstrap with the Flatly theme.
>
>
> Though I’ve pushed all the code out and made it public it’s all very young 
> but it works fairly well. However, I’ve committed numerous barbarities in 
> the code just to get things working and to figure out how to handle certain 
> things. For the foreseeable time in the future I’ll be working on cleaning 
> all this up and figuring out what I can do on my side and on PuppetDB’s 
> side to make all this work a little better. Especially when it comes to 
> dealing with big responses from PuppetDB...
>
>
> This is the first time I’m open sourcing a project so that too is all new 
> to me. I’d welcome the feedback and if someone feels brave enough even 
> commits on the projects but try and be gentle about it :-). I’ll also be at 
> PuppetConf including the Developer Day so feel free to reach out to me in 
> person.
>
>
> To the code:
>
>
>  * puppetboard: https://github.com/nedap/puppetboard
>
>  * pypuppetdb:  https://github.com/nedap/pypuppetdb
>
>
> I realise that puppetboard doesn't have a test suite right now but it will 
> soon. In order to do so I have to restructure a few things about it first. 
> The installation documentation will improve with it.
>
>
> Pypuppetdb's test suite will be expanding the coming days once I'm done 
> mocking the HTTP requests _query() makes and manage to get a decent and big 
> enough set of test data to feed into PuppetDB. This will allow me to run 
> integration tests and benchmark certain changes I have in mind.
>
>
> I’m hoping to be able to get a release out every month with improvements 
> to both projects, perhaps even faster in the beginning but it remains to be 
> seen how much time I’ll be able to spend on it.
>
>
> A special thanks goes out to Ken Barber for helping out with all things 
> PuppetDB and coming up with a way to run PuppetDB on Travis so we can run 
> integration tests. Hunter, thank you for being so interested in this 
> project and pushing me to release it.
>
>
> — 
>
> Daniele Sluijters
>
> Nedap | Steppingstone
>

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