mini_racer
frugally-deep
mini_racer | frugally-deep | |
---|---|---|
4 | 5 | |
583 | 1,047 | |
0.7% | - | |
7.2 | 8.0 | |
22 days ago | 23 days ago | |
JavaScript | C++ | |
MIT License | MIT 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.
mini_racer
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Ask HN: What side projects landed you a job?
Some years ago I was on a shitty job - not technically, but the company turned out to be inhumane - at a Ruby shop, and on the side I was toying with mini_racer and I just upgraded to some macOS beta where it failed to build. A shitty +1-1 hack† for a compiler flag later and it was back flying.
A month later I received a cold email from a CTO to chat a bit about that PR, turns out they were using mini_racer heavily and forked it for their own purpose, and also created PyMiniRacer for the Python side of things. Next thing I know I got hired. Two years later the company got acquired.
Of course conditionally adding a compiler flag wasn't what got me hired per se, it only got my profile noticed. Probably side projects such as porting go by example to Ruby by implementing a ~1:1 CSP channel API[1], an Electron desktop client for Mattermost basically on a dare[2], ex mode for the Atom editor so that I could have that frackin' `:w`[3], leveraging Blocks to bolt on object-oriented-ness onto C because "closures are a poor man's object"[4], or reverse-engineering the Xbox One USB gamepad and writing a kext to turn it into a HID device on macOS from scratch on a lonely 7+h train ride with passengers judgementally staring at me sideways[4] probably contributed to it a bit.
My takeaway: luck is when preparation meets opportunity; but don't to side projects to get hired, because if you don't get hired then that time is lost. Rather, of all things, scratch your itch, have fun, embrace whatever quirkiness you fancy; no one can take that away from you.
[0]: https://github.com/rubyjs/mini_racer/commit/2086db1bbf2b5de4...
[1]: https://github.com/lloeki/normandy
[2]: https://github.com/lloeki/matterfront
[3]: https://github.com/lloeki/ex-mode
[4]: https://github.com/lloeki/cblocks-clobj/blob/master/main.c
[5]: https://github.com/lloeki/xbox_one_controller
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YouTube-dl has a JavaScript interpreter written in 870 lines of Python
Cue libv8-node+mini_racer from which PyMiniRacer was born. It is non-trivial but not as hard as one might think.
The most painful part is the libv8 build system and Google tooling, which makes it an absolute PITA for libv8 consumers that are not Chrome.
This is why the libv8 gem was atrocious to keep up to date and to build for several platforms, and why libv8-node was born, because the node build system and source distribution are actually sane.
Disclaimer: worked at Sqreen, now maintainer of libv8-node and collaborator of mini_racer
https://github.com/sqreen/PyMiniRacer
https://github.com/rubyjs/mini_racer
https://github.com/rubyjs/libv8-node
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Rendering markdown with Markdoc in Rails
Eventually, we’ll want to call this JavaScript from a Rails controller using ExecJS or MiniRacer or some similar tool. None of the Ruby-to-JavaScript gems I found were sophisticated enough to know how to load npm modules with common.js or ES module syntax, so my solution is to just build the JavaScript with a watcher and have that run as part of bin/dev.
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Anyone having issues with M1Pro?
https://github.com/rubyjs/mini_racer/issues/190 has some info an then this PR: https://github.com/rubyjs/mini_racer/pull/210 that has been merged. Hope that all helps!
frugally-deep
- Frugally-deep: Header-only library for using Keras (TensorFlow) models in C++
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Ask HN: What side projects landed you a job?
The interview for my current job first went mediocre, but by talking about frugally-deep (a side project of mine) I was able to excite my (now) employer. :-)
https://github.com/Dobiasd/frugally-deep
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Way to convert keras based model to C++.
Did you work through the FAQ here: https://github.com/Dobiasd/frugally-deep/blob/master/FAQ.md
- Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD. r/circuitpython - Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD.
What are some alternatives?
execjs - Run JavaScript code from Ruby
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
libv8-node - Package libv8 from Node
tensorflow - An Open Source Machine Learning Framework for Everyone
quickjs - Thin Python wrapper of https://bellard.org/quickjs/
tiny-cnn - header only, dependency-free deep learning framework in C++14
PyMiniRacer - PyMiniRacer is a V8 bridge in Python.
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
pyduktape - Embed the Duktape JS interpreter in Python
Genann - simple neural network library in ANSI C
markdoc-rails - Example of rendering markdown using Markdoc with Ruby on Rails
nano