decimal
Fixed-precision decimal numbers based on IEEE 754 decimal64 (by anz-bank)
hep
hep is the mono repository holding all of go-hep.org/x/hep packages and tools (by go-hep)
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| decimal | hep | |
|---|---|---|
| 1 | 6 | |
| 26 | 229 | |
| - | 1.7% | |
| 0.0 | 7.9 | |
| about 4 years ago | 4 days ago | |
| Go | Go | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
decimal
Posts with mentions or reviews of decimal.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-27.
hep
Posts with mentions or reviews of hep.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-10.
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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
What are some alternatives?
When comparing decimal and hep you can also consider the following projects:
root - The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more