apd
gonum
| apd | gonum | |
|---|---|---|
| 7 | 24 | |
| 602 | 7,285 | |
| 1.2% | 0.8% | |
| 3.8 | 8.3 | |
| about 2 months ago | 1 day ago | |
| Go | Go | |
| Apache License 2.0 | 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.
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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.
apd
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What libraries are missing?
https://github.com/cockroachdb/apd is currently the best implementation in the ecosystem (performance, correctness). Have you already evaluated it?
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Lack of Decimal Support
FWIW I think cockroachdb/apd is the best third party option. While building bojanz/currency I've evaluated and benchmarked the others and found them either less maintained, slower, or both.
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Small Fixed-Point Decimals library
I have a package for handling currency amounts and calculations that is based on cockroachdb/apd, in my opinion the best arbitrary-precision decimal implementation in Go right now. So, I can offer a bit of insight.
- cockroachdb/apd v3.0.0
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Library recommendation -- money calculations, more accurate handling of floats
The best decimal package is still cockroachdb/apd. I wrap it in bojanz/currency for money handling.
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What libraries from other languages do you wish were ported over into go?
https://github.com/cockroachdb/apd remains the best decimal library for Go (ericlagergren/decimal is faster but unmaintained).
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currency - Currency amounts and formatting for Go
Note: In benchmarks ericlagergren/decimal was noticeably faster than cockroachdb/apd, but it has known bugs when used with go mod, so I decided to wait and go with cockroachdb/apd for now. The Amount struct wraps the decimal implementation completely, making it easy to do the swap later without breaking BC.
gonum
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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.
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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
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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
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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
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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
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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?
You should check out this https://github.com/gonum/gonum
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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
What are some alternatives?
decimal - Arbitrary-precision fixed-point decimal numbers in Go
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
decimal - A high-performance, arbitrary-precision, floating-point decimal library.
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.
root - The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Stats - A well tested and comprehensive Golang statistics library package with no dependencies.
currency - Currency handling for Go.
gonum/plot - A repository for plotting and visualizing data
centrifuge - Real-time messaging library for Go. The simplest way to add feature-rich and scalable WebSocket support to your application. The core of Centrifugo server.
PiHex - PiHex Library, written in Go, generates a hexadecimal number sequence in the number Pi in the range from 0 to 10,000,000.
ent - An entity framework for Go
goraph - Package goraph implements graph data structure and algorithms.