hep
npyio
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| hep | npyio | |
|---|---|---|
| 6 | 1 | |
| 229 | 58 | |
| 1.7% | - | |
| 8.1 | 5.8 | |
| about 2 months ago | about 2 months ago | |
| Go | Go | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hep
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From Python to NumPy
Go is quite a bit cleaner than Python and its concurrency/parallelism primitives can be well suited to scientific workloads.
You may want to have a look at Gonum (https://www.gonum.org), and the Go HEP package developed by CERN (https://go-hep.org).
I was also surprised to see DSP and pretty sophisticated packages, although I never used them: https://awesome-go.com/science-and-data-analysis
And of course Go has Jupyter integration, it's almost like running a script thanks to its fast compilation time.
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Go for science?
Have a look at go-hep https://go-hep.org/
- heuristics for d/l and seeking into http-served files
- Do you care about having a numerical/scientific ecosystem?
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What libraries from other languages do you wish were ported over into go?
ROOT https://root.cern/ , altough https://go-hep.org/ does a great deal!
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Charting library or pure go headless browser
https://github.com/go-hep/hep/tree/master/hplot#1d-histogram-with-y-error-bars-no-lines
npyio
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Go for science?
https://github.com/sbinet/npyio (r/w NumPy Array data files)
What are some alternatives?
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
tdaq - tdaq: a toolkit for building DAQ systems
root - The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
awesome-scientific-go - Go libraries for scientific computing
go-plotly - The goal of the go-plotly package is to provide a pleasant Go interface for creating figure specifications which are displayed by the plotly.js JavaScript graphing library.
fitsio - fitsio is a pure-Go package to read and write `FITS` files
readahead - Asynchronous read-ahead for Go readers
ews-managed-api
boostio - Serialization library compatible with C++ Boost Serialization
dchart - dchart makes charts using deck markup
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing