poly
mockoon
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poly | mockoon | |
---|---|---|
24 | 48 | |
648 | 5,844 | |
2.3% | 2.2% | |
8.2 | 9.2 | |
about 1 month ago | 3 days ago | |
Go | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
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)
mockoon
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Handling Firebase Notifications in Flutter: Practical Tips
Mockoon - Used as a logging server instead of using print in the console.
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Ask HN: Those making $500+/month on side projects in 2024 – Show and tell
Hopefully, 2024 is the year I can stop freelancing and live the dream! Work on an open-source project I love while not feeling guilty about not bringing enough money home :D
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How do you make revenue from your FOSS projects ?
The project I'm working on is https://mockoon.com
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🔥🔥 Our awesome OSS friends 😍
Mockoon- Mockoon is the easiest and quickest way to design and run mock REST APIs.
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Share Your Startup - July 2023 - Upvote for Maximum Visibility
Startup Name / URL: Mockoon (https://mockoon.com)
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Mock server
If you are looking for something with a GUI, I made https://mockoon.com It's open source, supports Faker.js and has a CLI to run the mocks in your CI env (or elsewhere).
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Building a Slack/Discord Alternative with Tauri/Rust
I maintain an open-source app built with Electron. It serves tens of thousands of users every months and nobody complained in 5 years that it is being built with Electron. Not saying that Electron is perfect, and that it couldn't be a bit more performant, but as a solo maintainer (and entrepreneur) it helps me ship something that save people time. The burden of maintaining an application is already huge. Having to juggle with multiple environments would be a hassle and I definitely wouldn't do it.
That being said, if a "drop-in" alternative would be available I would probably try to switch at one point. But the alternative would have to be on par with the ecosystem (including packaging, binaries signing, etc.), the community, the ease of use... I don't think there is such a thing yet.
The app, if you are interested: https://mockoon.com
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I’m curious what your start up’s journey was like even back when you found the idea.
Company: https://mockoon.com
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Please recommend a good API Mocking tool
I recommend Mockoon https://mockoon.com/ it’s simple like Postman without create mock api server with code
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What are some ways to mock APIs and pre-populate data on my automated tests? [WebDriverIO]
This may not be what you're looking for, but have you seen Mockoon?
What are some alternatives?
Raylib-CsLo - autogen bindings to Raylib 4.x and convenience wrappers on top. Requires use of `unsafe`
msw - Seamless REST/GraphQL API mocking library for browser and Node.js.
pg-mem - An in memory postgres DB instance for your unit tests
electron-playwright-example - Example of multi-window Playwright testing with Electron
linaria - Zero-runtime CSS in JS library
graphql-faker - 🎲 Mock or extend your GraphQL API with faked data. No coding required.
seq - A high-performance, Pythonic language for bioinformatics
ewelink-web-ui - Ewelink Web App Tool for managing devices from PC
m4b-tool - m4b-tool is a command line utility to merge, split and chapterize audiobook files such as mp3, ogg, flac, m4a or m4b
Visual Studio Code - Visual Studio Code
full_spectrum_bioinformatics - An open-access bioinformatics text
openapi-client-axios - JavaScript client library for consuming OpenAPI-enabled APIs with axios