ogv.js
RCall.jl
ogv.js | RCall.jl | |
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7 | 8 | |
1,182 | 311 | |
- | 0.6% | |
7.2 | 6.1 | |
3 days ago | 6 days ago | |
JavaScript | Julia | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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ogv.js
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"MP3 is dead" missed the real, much better story (2017)
Yeah, that's what they do using this https://github.com/brion/ogv.js/
- Making Python 100x faster with less than 100 lines of Rust
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Google and Mozilla are working on iOS browsers that aren't based on WebKit
I've been told this at least three times now on HN over the years (pretty soon I'm going to start keeping a list of URLs so people know I'm not exaggerating.) Every single time it turns out that it isn't actually true.
It was added to desktop Safari. iOS Safari supports VP9 only in WebRTC. It may have changed, but I can't find any evidence that it has.
If you see it working somewhere, it is almost definitely using the polyfill[1].
[1]: https://github.com/brion/ogv.js/
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How to stream OGG on iOS?
I found a library "ogv.js" that says it decodes .ogg/.webm using WebAssembly, and this demo plays on my iPhone SE3 in Safari.
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Anti-innovative effects of Apple's prohibition of alternative browser engines
I believe Wikipedia has resorted to polyfilling it using this:
https://github.com/brion/ogv.js
That's great and all, but it has limitations, and obviously, is ludicrously less efficient than it should be.
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Privacy analysis of FLoC
We already have JS/WebGL video decoders (e.g: Broadway.js, OGOV.js). Much of the earlier video playback/acceleration work was getting it accelerated on GPUs-- using DirectX, OpenGL, or other GPU programming standards.
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WebCodecs is a flexible web API for encoding and decoding audio and video
This is great and overdue. Hopefully all major browsers will add some support for open source/royalty free codecs.
Emscripten/WebAssembly actually worked rather well with audio (OPUS is just awesome) but when it comes to video it's just unfeasible, especially if you are looking at doing low latency streaming. That said, I cannot fail to mention the incredible effort done by ogv.js [1] to make a/v decoding possible almost anywhere.
Looking forward to experiment with this new API.
[1] https://github.com/brion/ogv.js/
RCall.jl
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Makie, a modern and fast plotting library for Julia
I don't use it personally, but RCall.jl[1] is the main R interop package in Julia. You could call libraries that have no equivalent in Julia using that and write your own analyses in Julia instead.
[1] https://github.com/JuliaInterop/RCall.jl
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Making Python 100x faster with less than 100 lines of Rust
You can have your cake and eat it with the likes of
* PythonCall.jl - https://github.com/cjdoris/PythonCall.jl
* NodeCall.jl - https://github.com/sunoru/NodeCall.j
* RCall.jl - https://github.com/JuliaInterop/RCall.jl
I tend to use Julia for most things and then just dip into another language’s ecosystem if I can’t find something to do the job and it’s too complex to build myself
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Interoperability in Julia
To inter-operate Julia with the R language, the RCall package is used. Run the following commands on the Julia REPL
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Convert Random Forest from Julia to R
https://github.com/JuliaInterop/RCall.jl may help
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I'm considering Rust, Go, or Julia for my next language and I'd like to hear your thoughts on these
If you need to bindings to your existing R packages then Julia is the way. Check out RCall.jl
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translate R code to Julia code
I have no experience with R, but maybe this will be of use: https://github.com/JuliaInterop/RCall.jl
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Julia 1.6: what has changed since Julia 1.0?
You can use RCall to use R from Julia: https://github.com/JuliaInterop/RCall.jl
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
I worked with R and Python during the last 3 years but learning and dabbling with Julia since 0.6. Since the availability of [PyCall.jl] and [RCall.jl], the transition to Julia can already be easier for Python/R users.
I agree that most of the time data wrangling is super confortable in R due to the syntax flexibility exploited by the big packages (tidyverse/data.table/etc). At the same time, Julia and R share a bigger heritage from Lisp influence that with Python, because R is also a Lisp-ish language (see [Advanced R, Metaprogramming]). My main grip from the R ecosystem is not that most of the perfomance sensitive packages are written in C/C++/Fortran but are written so deeply interconnect with the R environment that porting them to Julia that provide also an easy and good interface to C/C++/Fortran (and more see [Julia Interop] repo) seems impossible for some of them.
I also think that Julia reach to broader scientific programming public than R, where it overlaps with Python sometimes but provides the Matlab/Octave public with an better alternative. I don't expected to see all the habits from those communities merge into Julia ecosystem. On the other side, I think that Julia bigger reach will avoid to fall into the "base" vs "tidyverse" vs "something else in-between" that R is now.
[PyCall.jl]: https://github.com/JuliaPy/PyCall.jl
[RCall.jl]: https://github.com/JuliaInterop/RCall.jl
[Julia Interop]: https://github.com/JuliaInterop
[Advanced R, Metaprogramming] by Hadley Wickham: https://adv-r.hadley.nz/metaprogramming.html
What are some alternatives?
Broadway - A JavaScript H.264 decoder.
Makie.jl - Interactive data visualizations and plotting in Julia
web-codecs - WebCodecs is a flexible web API for encoding and decoding audio and video.
org-mode - This is a MIRROR only, do not send PR.
Mail-in-a-Box - Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server: a mail server in a box.
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
numexpr - Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
Revise.jl - Automatically update function definitions in a running Julia session
jnumpy - Writing Python C extensions in Julia within 5 minutes.
cmssw - CMS Offline Software
poly-match - Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post
PyCall.jl - Package to call Python functions from the Julia language