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Sense cofounder here. We're just getting started, so feedback is welcome. Sense supports R, Python, JavaScript and SQL out of the box, but is fully extensible

Sense cofounder here. We're just getting started, so feedback is welcome. Sense supports R, Python, JavaScript and SQL out of the box, but is fully extensible to new languages and tools: https://github.com/SensePlatform/sense-engine https://github.com/SensePlatform/sense-engine We have Julia, Hive, and Spark engines in development.

tansey 13y ago
Looks great! Do you have full support for numpy, scipy, matplotlib, pymc, and pandas?
- apatil 13y ago
  Thanks! Yes, we do, and you can install packages yourself and/or let us know if anything is missing.
- tristanz 13y ago
  Yes. I'll also point our that Anand (apatil) was a core developer for PyMC. We have big plans around Bayesian computation on Sense.
berto99 13y ago
Wow, this looks really nice. One thing that isn't clear is how I get the information out. so for example, if I'm building a recommendation engine, is there some kind of api that my webapp can use to get the information (sorry, new to all this).
- tristanz 13y ago
  Right now Sense is best for ad-hoc interactive analysis and batch/scheduled jobs. You can run long-running services that expose something like a REST endpoint, but we have plans to make exposing services much easier, so I'd probably hold off until we have an "official" solution.
pwang 13y ago
Looks great! Is it really just you and Anand that put this together?
- tristanz 13y ago
  Yup. It's just the two of us. So far. If anybody wants to join: tristan@senseplatform.com.
siganakis 13y ago
Is it possible to move data around between languages / engines? E.g. would it be possible to run a query against Red Shift (step 1), then cleanse it in Python (step 2), run R scripts over the Python output (step 3) then dump the results back to Red Shift (step 4)? If I then decide I need to change the Red Shift query (step 1), can I then re-run the whole pipeline? Munging data between different tools is what I seem to spend most of my time doing, so anything that helps that would be a big productivity boost.
- apatil 13y ago
  At the moment, not really. In your scenario, you could have a Python dashboard launch a Redshift dashboard with startup code that runs the initial query, then clean the result, then launch an R dashboard and pass the clean data to it either over the shared filesystem or a messaging system such as 0MQ or Redis, then save the results to S3 for consumption by Redshift. You're probably looking for something smoother, though. We definitely intend to have a good solution for workflows like you describe in the future.
  - ironchef 13y ago
    I think you may want to think about treating the analyses like an ETL pipeline (think dependent jobs in chronos or some such) using some intermediary (S3, whatevs). That would probably be useful to a lot of analysts.

tansey 13y ago

Looks great! Do you have full support for numpy, scipy, matplotlib, pymc, and pandas?

apatil 13y ago
Thanks! Yes, we do, and you can install packages yourself and/or let us know if anything is missing.
tristanz 13y ago
Yes. I'll also point our that Anand (apatil) was a core developer for PyMC. We have big plans around Bayesian computation on Sense.

berto99 13y ago

Wow, this looks really nice. One thing that isn't clear is how I get the information out. so for example, if I'm building a recommendation engine, is there some kind of api that my webapp can use to get the information (sorry, new to all this).

tristanz 13y ago
Right now Sense is best for ad-hoc interactive analysis and batch/scheduled jobs. You can run long-running services that expose something like a REST endpoint, but we have plans to make exposing services much easier, so I'd probably hold off until we have an "official" solution.

pwang 13y ago

Looks great! Is it really just you and Anand that put this together?

tristanz 13y ago
Yup. It's just the two of us. So far. If anybody wants to join: tristan@senseplatform.com.

siganakis 13y ago

Is it possible to move data around between languages / engines? E.g. would it be possible to run a query against Red Shift (step 1), then cleanse it in Python (step 2), run R scripts over the Python output (step 3) then dump the results back to Red Shift (step 4)? If I then decide I need to change the Red Shift query (step 1), can I then re-run the whole pipeline? Munging data between different tools is what I seem to spend most of my time doing, so anything that helps that would be a big productivity boost.

apatil 13y ago
At the moment, not really. In your scenario, you could have a Python dashboard launch a Redshift dashboard with startup code that runs the initial query, then clean the result, then launch an R dashboard and pass the clean data to it either over the shared filesystem or a messaging system such as 0MQ or Redis, then save the results to S3 for consumption by Redshift. You're probably looking for something smoother, though. We definitely intend to have a good solution for workflows like you describe in the future.
- ironchef 13y ago
  I think you may want to think about treating the analyses like an ETL pipeline (think dependent jobs in chronos or some such) using some intermediary (S3, whatevs). That would probably be useful to a lot of analysts.