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unikraft
A next-generation cloud native kernel designed to unlock best-in-class performance, security primitives and efficiency savings.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Turbo Vision
A modern port of Turbo Vision 2.0, the classical framework for text-based user interfaces. Now cross-platform and with Unicode support.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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src
Read-only git conversion of OpenBSD's official CVS src repository. Pull requests not accepted - send diffs to the tech@ mailing list.
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ganja.js
:triangular_ruler: Javascript Geometric Algebra Generator for Javascript, c++, c#, rust, python. (with operator overloading and algebraic literals) -
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mobile
Discontinued [Moved to https://github.com/standardnotes/app] Standard Notes for iOS and Android - https://standardnotes.com (by standardnotes)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
We put a lot of effort and consideration into the architecture of Unikraft[0][1], its elegance is the reason and simplicity is why I joined the team to help develop it.
[0]: https://unikraft.org/
[1]: https://github.com/unikraft/unikraft
Nim. It's just so quick and easy to write high performance code. That's why I'm writing a web framework for it, soon to be released: https://github.com/jfilby/nexus
Frigate NVR: https://frigate.video/
Incredibly easy to host open source network video recorder with object tracking and hardware acceleration support. You have to install hardware and know what you're doing to hook things up, but bespoke systems that do these things cost tens of thousands for hardware/licensing alone and don't do them half as well.
It's been an absolute joy toying with TV after all this years for some TUI side-projects.
https://github.com/magiblot/tvision
Regarding code elegance, OpenBSD[0] surely pride themselves in their code correctness and how they make it clean and understandable.
Another example might be my favorite text editor, vis[1].
[0] https://www.openbsd.org/
Stockfish -- https://github.com/official-stockfish/Stockfish
Some of the best C++ code written.
I've been pleased by NATS (https://nats.io/). I like how it builds its functionality on layers of abstractions, from the most basic (pub/sub), to request/response on top of that, to key/value and persistent streams on top of that. The CLI is simple to use and you can learn it in an afternoon, but it's robust enough to deploy.
So much this. Also I use this tool to sketch out graphs quickly:
https://dreampuf.github.io/GraphvizOnline/
Peter Norvig's python is so elegant: https://github.com/norvig/pytudes#pytudes-index-of-jupyter-i...
I figured I'd get some downvotes mentioning PLTR here. ;-)
GPalantir is definitely being more open with their demo now, so there are some good ones on their youtube channel.
You can skim through.
https://www.youtube.com/watch?v=uF-GSj-Exms
I'm impressed by how polished everything looks. As a person who does UX / product design, their working software looks better than most designer's portfolio mockups.
I'm impressed by how fast and snappy everything works or feels.
I'm impressed by how rich and custom tailored their UI component library is.
I'm impressed by how focused and tailored their UI for job at hand.
I'm impressed by how every single page in their application looks beautiful, not just a handful.
They actually have all their React UI library published as opensource here. https://blueprintjs.com/
If there's anyone from pltr reading this, good job. Your design people are amazing.
Man, I've looked at Standard Notes and want to love it and switch everything over to it. This is the only thing holding me back: https://github.com/standardnotes/mobile/issues/45
Sequel [1], the Ruby ORM. It's rock-solid, provides similar abstractions to Active Record but feels much better thought out, and it has great docs.
Also, at any point in time, it's likely to have zero open issues and zero open pull requests, which is pretty impressive for a project of its size.
[1]: https://github.com/jeremyevans/sequel
This is an obscure one, but Mike Innes "[automatic] differentiation for hackers" tutorial. It's a code tutorial, not software, if that counts. Both the way it's constructed and the functionality of Julia that gets shown off here.
https://github.com/MikeInnes/diff-zoo