comet
gpython
comet | gpython | |
---|---|---|
1 | 4 | |
29 | 826 | |
- | 1.1% | |
10.0 | 5.4 | |
about 3 years ago | 2 months 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.
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.
comet
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Looking for programming languages created with Go
Check: - https://github.com/chermehdi/comet - https://www.youtube.com/playlist?list=PL7hGxPwCxqmy-3lOXDJA5Bl1jzd6m1Mw-
gpython
- Show HN: Gsubpy, an interpreter for subset of Python, written in Go
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Is it possible to call Python libraries within Golang application.
In my case, it was good enough to use https://github.com/go-python/gpython . One downside is that you can't use python libraries though.
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Looking for programming languages created with Go
Here is my contribution: https://github.com/go-python/gpython
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Interpreters built in Go
https://github.com/go-python/gpython (Python interpreter in Go)
What are some alternatives?
joker - Small Clojure interpreter, linter and formatter.
bass - a low fidelity scripting language for project infrastructure
OK - Welcome to the future of programming languages: OK?
cpy3 - Go bindings to the CPython-3 API
slurp - Slurp is a highly customisable LISP toolkit for Go applications. 💻
tau - A functional interpreted programming language with a minimalistic design.
go-algorand - Algorand's official implementation in Go.
gval - Expression evaluation in golang
elvish - Powerful scripting language & Versatile interactive shell
fibratus - A modern tool for Windows kernel exploration and tracing with a focus on security
rye - homoiconic dynamic programming language with some new ideas
milisp - Multiple implementations (Golang and Python) of LISP-like language to share the same ML pipeline over many systems