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  • dcherian · 3 ✖

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  • Comprehensive benchmarking suite · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
963563959 https://github.com/pydata/xarray/issues/4648#issuecomment-963563959 https://api.github.com/repos/pydata/xarray/issues/4648 IC_kwDOAMm_X845btG3 dcherian 2448579 2021-11-08T20:54:19Z 2021-11-08T20:54:19Z MEMBER

@TomAugspurger are you still in charge of the pydata benchmarking machine? If so, could you add xarray to the list please (https://pandas.pydata.org/speed/)? @Illviljan has made major improvements so it should be a lot faster now

 
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   Comprehensive benchmarking suite 756425955
901370189 https://github.com/pydata/xarray/issues/4648#issuecomment-901370189 https://api.github.com/repos/pydata/xarray/issues/4648 IC_kwDOAMm_X841udFN dcherian 2448579 2021-08-18T19:24:15Z 2021-08-18T19:26:31Z MEMBER

Looks like Quansight thinks that GH actions is a good place to benchmark scikit-learn: https://labs.quansight.org/blog/2021/08/github-actions-benchmarks/ so may be we can set that up for our existing benchmarks.

Here's the workflow: https://github.com/jaimergp/scikit-image/blob/main/.github/workflows/benchmarks-cron.yml

 
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   Comprehensive benchmarking suite 756425955
738969196 https://github.com/pydata/xarray/issues/4648#issuecomment-738969196 https://api.github.com/repos/pydata/xarray/issues/4648 MDEyOklzc3VlQ29tbWVudDczODk2OTE5Ng== dcherian 2448579 2020-12-04T19:19:55Z 2020-12-04T19:22:04Z MEMBER

Thanks @scottyhq

One other thing that often gets neglected in test suites is operating on remote data.

This is lining up with the "pangeo integration tests" that came up in a Pangeo meeting (cc @rabernat).

Regardless whether it fits, I think adding benchmarks+tests for the xarray+zarr+fsspec (or xarray+mfdataset+netCDF) is an important and unmet need of the Pangeo community in general that we could address.

 
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   Comprehensive benchmarking suite 756425955

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