this is some pretty impressive stuff !
I assume the data you pipe to your plots are aggregated in some way (like
bar charts, bubble charts, etc.)
Are there any plans to have a streaming API consume these aggregates ?
something like
stream = plotly.stream('my_bubble_chart');
stream.on('data', function (data) {
// data is an object describing the current state of the bubbles
data.chartType
data.bubbles
// etc.
})
On Thursday, 27 March 2014 15:21:13 UTC+1, Postlethwaite wrote:
>
> It depends on the size of the incoming JSON objects. For simple plots like
> the one I linked to above it can be a very small amount of data.
>
> For example a stringified utf8 json object {x:1, y:3} results in a buffer
> around ~18 bytes. I accept data packets every 50ms which would be 360 bytes
> every second which is minimal. We are limiting to something closer to 22
> kb/s, which means passing in JSON strings with fairly large arrays in them,
> ~50 in length. This is useful for controlling things like bar charts or
> manipulating many bubble chart bubbles with each packet.
> See for example: http://plot.ly/~streaming-demos/44/
>
> If you want to verify the real-timeyness just open up two browser windows.
> You'll see the exact same random data moving through at the same time. It
> originates from a single source and is broadcast out.
>
>
> On Thursday, 27 March 2014 09:16:20 UTC-4, Ket wrote:
>>
>> If this is real time data streaming, it is pretty fast. Impressive. Never
>> see something working smoothly like this before.
>>
>> How much data in bytes do you send each time.
>>
>> On Tuesday, March 25, 2014 11:28:26 PM UTC+7, Postlethwaite wrote:
>>>
>>> We at Plotly have just released our Streaming API (our infrastructure is
>>> 100% Nodejs) and are looking for feedback. Check out this
>>> example<https://plot.ly/~streaming-demos/6/>to see what our realtime data
>>> streaming looks like. As part of the release
>>> we have released an early candidate module to consume it,
>>> https://github.com/plotly/plotly-nodejs. You can do things like:
>>>
>>> myDataStream.pipe(Plotly)
>>>
>>>
>>> which is how it should be.
>>>
>>> All of Plotlys graph types are supported through streaming. This means
>>> you get live histograms, realtime 2D heatmaps, streaming to multiple
>>> subplots for a DYI dashboard experience among much else. It's free and will
>>> remain so. You can easily embed real-time streaming plots in any website by
>>> burrowing the streaming URL in an iframe.
>>>
>>> Checkout out the module I linked to above to get up and going and feel
>>> free to fire me any questions you might have. This is early days and
>>> feedback and helpful criticism is greatly appreciated.
>>>
>>> Stream on!
>>>
>>> ben at plot.ly
>>>
>>>
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