poly
PixiJS
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poly | PixiJS | |
---|---|---|
24 | 116 | |
648 | 42,496 | |
2.5% | 1.2% | |
8.2 | 9.9 | |
about 1 month ago | 8 days ago | |
Go | TypeScript | |
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.
poly
- Looking for an Open Source project to participate in for Google Summer of Code
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GitHub Accelerator: our first cohort and what's next
- https://github.com/TimothyStiles/poly: Poly is a fast, well tested Go package for engineering organisms.
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These 20 startups are in 1st ever batch of GitHub OS Accelerator
Poly: Fast Go package for engineering organisms
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Ask HN: Burnt out from big tech. What's next?
You might want to look at computational biology. Jim Allison won the Nobel Prize back in 2018 for his work on immunotherapy for cancer and there's a lot of basic research work to be done to perfect this approach. Epigenetic clocks are really interesting too (see Steve Horvath's work). Also, there's synthetic biology, where you could, for example, explore this package that's written in Go: https://github.com/TimothyStiles/poly
- Any corner cases for Needleman-Wunsch that should be tested?
- Where can I find well-written go code to learn from?
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High-performance language recommendation
Check out poly. It’s written in go and I’m using it for one of my projects too. The goal is that we should have high performance libraries that we can use knowing what people are working on the forks will give the community a leg up.
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How is GO used in bioinfo?
The most popular bioinformatic package I've seen in go is poly.
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Software engineers: consider working on genomics
I write synthetic biology software for a living and maintain this open source, Go package for engineering DNA that has high test coverage and a nice little dev community around it.
https://github.com/TimothyStiles/poly
A large part of my project's community are devs that want to get into the field but can't tolerate the ridiculously low pay, laughably bad management, disrespect, and what amounts to 40+ years of technical debt that's endemic to biotech software.
I've had companies here in the Bay Area offer me 100K a year with a straight face. I've had companies during interview tell me they're looking for someone to help, "set up GitHub". I've seen job listings for low paid web dev positions require applicants to have PhDs.
The reality is that except for a growing handful of places management straight up won't know the difference between IT and software engineers. It's what I call the naive buyers problem.
The demand for software engineers in biotech is generated by naive buyers that don't know what they need, why they need it, or how to get it.
Benchling and Recursion Pharmaceuticals have reputations in the industry of paying, "standard software salaries". So do the research divisions at places like deepmind/microsoft/google but in my experience there's even new multi-billion dollar institutes where senior management has never even heard the term devops.
Most places advertise for "data scientist", positions or some analog, instead of software engineers. This is mostly because upper management has never met an actual practicing software engineer in a professional setting. Many come from academia where the culture and work requirements heavily disincentivize standard software engineering practices.
It's also not uncommon for a biotech company to either have a very under qualified CTO whose main programming experience is what they learned doing ML research like stuff during their PhD or not even have one at all which has huge downstream consequences.
This week a software engineer trying to make the switch to biotech actually DM'd me to ask why they were seeing a ton of data science / ML job positions but no software engineering / devops positions.
They were worried that these companies were trying to save on costs by forcing their data scientists to create infrastructure but it's actually worse than that. Most of these companies aren't even aware that there's supposed to be infrastructure.
Despite all of this the future is looking better and I'm starting to find new companies and positions that are well... reasonable. I learned about this thread from a friend at a party last night that works at one of these companies. There's a small, strong new wave of companies and developers out there pushing biotech software forward. Hopefully some (including myself) make it big while pushing the idea that better tech equals better biotech.
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Ask HN: What interesting problems are you working on? ( 2022 Edition)
It is more like the X Y Z W. However, the X Y Z W bits I am working on as well (https://github.com/TimothyStiles/poly , https://github.com/TimothyStiles/allbase , trilo.bio, freegenes.org). Going for fully automated "make bacterium X produce molecule Y", but still a while away (but surprisingly not THAT far off)
PixiJS
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Release Radar • March 2024 Edition
If you're into video game dev, then PixiJS is something you need to know about. It's a HTML5 game engine that provides a lightweight 2D library across all devices. This latest update has a new package structure, custom builds, graphics API overhaul, and lots more. You can read about all these changes in the PixiJS Migration Guide. Also big congrats to PixiJS for being part of the open source community for ten years now! 😮.
- Ask HN: Tips to get started on my own server
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JavaScript Libraries That You Should Know
6. Pixi.js
- JSON Canvas – An open file format for infinite canvas data
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A Visual Interactive Guide to Bloom Filters
https://pixijs.com/ and https://gsap.com/. All of the source code for my posts can be found at https://github.com/samwho/visualisations :)
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My thought on different engines
For full web games (yeah, I come from the web, so I try to make my family proud), I will recommend PixiJS. It has great support for TypeScript and works very well with Vite. It's lighter than other game engines, so it's better for web games. But you will need to do a lot of things by yourself.
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Not only Unity...
PixiJS (MIT/TypeScript) https://github.com/pixijs/pixijs
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Rebuilding Isometric World
That approach works well for what I was trying to archive but I am planning on adding more functionality into the website. Hence in this article, let me rebuild the project using Pixi.js and it’s React binding, React Pixi.
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Ask HN: Possible to make a game engine in the browser?
https://openarena.live/
There's also a bunch of Javascript game engines: https://github.com/collections/javascript-game-engines
Of those, BabylonJS seems pretty powerful for 3D: https://www.babylonjs.com/games/
Or PixiJS for 2D: https://pixijs.com/
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Consider web technologies for game development
https://pixijs.com/ is more of a 2D rendering framework, but powerful and very fast
What are some alternatives?
Raylib-CsLo - autogen bindings to Raylib 4.x and convenience wrappers on top. Requires use of `unsafe`
Konva - Konva.js is an HTML5 Canvas JavaScript framework that extends the 2d context by enabling canvas interactivity for desktop and mobile applications.
pg-mem - An in memory postgres DB instance for your unit tests
Phaser - Phaser is a fun, free and fast 2D game framework for making HTML5 games for desktop and mobile web browsers, supporting Canvas and WebGL rendering. [Moved to: https://github.com/phaserjs/phaser]
linaria - Zero-runtime CSS in JS library
react-canvas - High performance <canvas> rendering for React components
seq - A high-performance, Pythonic language for bioinformatics
A-Frame - :a: Web framework for building virtual reality experiences.
m4b-tool - m4b-tool is a command line utility to merge, split and chapterize audiobook files such as mp3, ogg, flac, m4a or m4b
Leaflet.PixiOverlay - Bring Pixi.js power to Leaflet maps
full_spectrum_bioinformatics - An open-access bioinformatics text
cocos2d-html5 - Cocos2d for Web Browsers. Built using JavaScript.