gonum
hep
Our great sponsors
| gonum | hep | |
|---|---|---|
| 24 | 6 | |
| 7,249 | 229 | |
| 1.4% | 1.7% | |
| 8.2 | 8.1 | |
| 7 days 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.
gonum
-
How to set up interface to accept multi-dimension array?
But if you want to see what can be done for numeric stuff, check out gonum. Personally, I still wouldn't use Go, and I rather suspect it's still pretty easy to reach for something like what you're trying to do and not find it because Go just can't write that type sensibly, but you can at least see what is available, written by people who disagree with me about Go not being a great language for this.
-
packages similar to Pandas
Numpy functionality is largely covered by https://www.gonum.org/ but for pandas I'm not sure if there is an equivalent as widely accepted. However, you might try https://github.com/rocketlaunchr/dataframe-go which I have not tried but it looks like it covers some of what you're looking for
-
What libraries are missing?
Math libraries. It's just gonum right now. Missing things that often require people to link C or Python libs. E.g. https://github.com/gonum/gonum/issues/354
- Gonum Numerical Packages
-
SIMD Accelerated vector math
Maybe this way you could avoid having Mul, Mul_Inplace, Mul_Into variants. Gonum mostly follows the same pattern.
- Modern hardware is fast, so let's choose the slowest language to balance it out
-
graph: A generic Go library for creating graph data structures and performing operations on them. It supports different kinds of graphs such as directed graphs, acyclic graphs, or trees.
How does this compare to gonum graph? https://github.com/gonum/gonum/tree/master/graph
-
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.
-
Go for science?
You should check out this https://github.com/gonum/gonum
-
What makes concurrency in Go better than multiprocesing/multithreading in Python?
No, using CPU extensions and GPUs is a different thing than doing multitasking. There is Gonum but it is still slower than Numpy: https://github.com/gonum/gonum/issues/511
hep
-
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.
-
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?
-
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!
-
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?
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
root - The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
gosl - Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
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.
Stats - A well tested and comprehensive Golang statistics library package with no dependencies.
readahead - Asynchronous read-ahead for Go readers
gonum/plot - A repository for plotting and visualizing data
ews-managed-api
PiHex - PiHex Library, written in Go, generates a hexadecimal number sequence in the number Pi in the range from 0 to 10,000,000.
dchart - dchart makes charts using deck markup
goraph - Package goraph implements graph data structure and algorithms.
go-linq - .NET LINQ capabilities in Go