websocket
gonum
| websocket | gonum | |
|---|---|---|
| 15 | 24 | |
| 3,482 | 7,272 | |
| - | 0.6% | |
| 8.7 | 8.3 | |
| 23 days ago | 4 days ago | |
| Go | Go | |
| ISC 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.
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websocket
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Possible frameworks/languages for a web/mobile application
In my experience Go has been relatively approachable for people that are good at PHP. It has a great standard library and a pretty solid ecosystem, though frameworks aren’t as popular in Go. There are some well regarded libraries for things like WebRTC via https://github.com/pion/webrtc WebSicket via https://github.com/nhooyr/websocket
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Websocket memory usage
Also take a look at https://github.com/nhooyr/websocket - which is a good ws library, but I don't have anything specific about its memory usage per connection. But from what I see it will be somewhat similar to x/net/websocket.
- I don't understand these lines of code in Gorilla websocket example
- Websockets with golang
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Portal - a modern file transfer utility 🌌✨
nhooyr/websocket, shollz/pake, charmbracelet/bubbles, charmbracelet/bubbletea, charmbracelet/lipgloss, muesli/reflow, klauspost/pgzip and many, many more.
- Is there an alternative to gorilla websocket?
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Gorilla/websocket or Melody?
link: https://github.com/nhooyr/websocket
- Gorilla Web Toolkit is now in archive only mode
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Gorilla toolkit maintainers are stepping down and have been looking for new maintainers. The project could otherwise be archived.
There's https://github.com/gobwas/ws and https://github.com/nhooyr/websocket but neither have seen a commit in over a year
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Goomerang 🪃 A protocol buffers over websockets communications library
The last time I was using websockets, I found https://github.com/gobwas/ws to be a huge improvement over Gorilla, but I haven't been looking recently, and perhaps Gorilla was able to shed some of its bloat and improve API and performance since then.
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?
nbio - Pure Go 1000k+ connections solution, support tls/http1.x/websocket and basically compatible with net/http, with high-performance and low memory cost, non-blocking, event-driven, easy-to-use.
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
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.
NATS - Golang client for NATS, the cloud native messaging system.
Stats - A well tested and comprehensive Golang statistics library package with no dependencies.
ws - Tiny WebSocket library for Go.
gonum/plot - A repository for plotting and visualizing data
Ebiten - Ebitengine - A dead simple 2D game engine for Go
PiHex - PiHex Library, written in Go, generates a hexadecimal number sequence in the number Pi in the range from 0 to 10,000,000.
go-quilljs-delta
goraph - Package goraph implements graph data structure and algorithms.