beets
poly
beets | poly | |
---|---|---|
186 | 24 | |
12,393 | 649 | |
0.5% | 1.1% | |
9.7 | 8.2 | |
11 days ago | about 1 month ago | |
Python | Go | |
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.
beets
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Show HN: Synced lyrics database with a free, easy-to-use API
I was always frustrated that there is no solid source for synced lyrics that also offers decent API support. There is good ol' Crintsoft's MiniLyrics that is thankfully free software, was what I used a lot in my childhood, but unfortunately the API is highly obfuscated. Another popular choice is the Musixmatch API, which has a very large database of synced lyrics, but with "free" API that are reverse-engineered from their app, you will quickly run into rate-limit.
That's why I created LRCLIB. It's aimed to provide completely free synchronized lyrics for everyone, especially for FOSS music players, with zero profit intention. It currently has nearly 3,000,000 (not deduplicated) lyrics in database. You can also contribute to the database by adding and syncing lyrics for your favorite songs using the LRCGET client.
I'm trying my best to make LRCLIB server-side code open-source as soon as possible. But right now, full LRCLIB's database dumps have already been uploaded regularly and publicly, which are simply sqlite3 files. Feel free to download, look at or do anything you want with the database at https://lrclib.net/db-dumps.
Many open-source projects have already begun integrating LRCLIB, including:
- beets - music library metadata management (https://github.com/beetbox/beets)
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Finally moving to Navidrome... but how to best manage files and metadata?
I just ssh onto my server and use beets to remotely organize my navidrome collection and edit metadata. Beets has lots of auto-tagging features and I rarely need to edit anything manually. Works great if you are ok with using the command line.
- Beets: The music geek's media organizer
- Manage offline music?
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Musicserver that works with folders, not albums
You could try https://github.com/beetbox/beets but it seemed very manual and extremely slow. I had better luck with Picard.
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Ask HN: Flac/MP3 listeners: How do you store/play your music?
Honestly? I use https://beets.io/ to organise all my FLAC on my NAS.
I expose the /Music directory over NFC.
I use https://kodi.tv/ to stream music to my amp. I manually pick the album I want to listen to.
Kodi also has a fairly reasonable web UI.
Keep it simple.
- How do you keep your music library organized?
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Library Organiser?
If you're technically inclined, there's beets.
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anyone else wish this was still a thing?? scrolling album art - ios 6.1.3
You should check out beets.
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Is there a faster way to organize music torrents into a specific folder?
Yes, you have the torrent client call beets.io on the folder and have beets configured.
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)
What are some alternatives?
Lidarr - Looks and smells like Sonarr but made for music.
Raylib-CsLo - autogen bindings to Raylib 4.x and convenience wrappers on top. Requires use of `unsafe`
Navidrome Music Server - 🎧☁️ Modern Music Server and Streamer compatible with Subsonic/Airsonic
pg-mem - An in memory postgres DB instance for your unit tests
picard - A cross-platform music tagger powered by the MusicBrainz database. Picard organizes your music collection by updating your tags, renaming your files, and sorting them into a folder structure, exactly the way you want it.
linaria - Zero-runtime CSS in JS library
Airsonic - :satellite: :cloud: :notes:Airsonic, a Free and Open Source community driven media server (fork of Subsonic and Libresonic)
seq - A high-performance, Pythonic language for bioinformatics
librosa - Python library for audio and music analysis
m4b-tool - m4b-tool is a command line utility to merge, split and chapterize audiobook files such as mp3, ogg, flac, m4a or m4b
Ampache - A web based audio/video streaming application and file manager allowing you to access your music & videos from anywhere, using almost any internet enabled device.
procedural-gl-js - Mobile-first 3D mapping engine with emphasis on user experience