copilot
post-rfc
copilot | post-rfc | |
---|---|---|
17 | 27 | |
591 | 2,186 | |
0.5% | - | |
8.9 | 2.3 | |
7 days ago | 10 months ago | |
Haskell | ||
GNU General Public License v3.0 or later | Creative Commons Attribution 4.0 |
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.
copilot
- NASA Copilot: A stream-based runtime-verification framework
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[ANN] Copilot 3.16
[2] https://github.com/Copilot-Language/copilot/releases/tag/v3.16
- [ANN] NASA's Ogma 1.0.9
- [ANN] NASA's Ogma -- now with FPrime support
- [ANN] NASA's Ogma 1.0.7
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[ANN] Summer Internship at NASA Ames Research Center
The student, if selected, will be working on extending our capabilities to test cFS/ROS/FPrime applications, especially those using Ogma and/or Copilot for monitoring. Both Ogma and Copilot are open-source software written in Haskell.
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I want to learn Haskell, but...
For low-level embedded, you have Copilot!
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[ANN] Copilot 3.12
Current emphasis is on improving the codebase in terms of stability and test coverage, removing unnecessary dependencies, hiding internal definitions, and formatting the code to meet our new coding standards. Users are encouraged to participate by opening issues and asking questions via our github repo (https://github.com/copilot-language/copilot).
- [ANN] Copilot 3.11
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Copilot: Realtime Programming Language and Runtime Verification Framework
not maintainer but I think the correct one is this: https://github.com/Copilot-Language/copilot/tree/master/copi...
post-rfc
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Haskell in Production: Standard Chartered
That's what it's best for, but personally I use it for everything. If I ever get into low-level code I'll probably use Rust though.
You can confirm that parsers/tokenizers is ranked "best in class" here though:
https://github.com/Gabriella439/post-rfc/blob/main/sotu.md
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Recommendations for well informed, up-to-date guide to Haskell backend engineering
Note that this is ported from here: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md which comes with more exposition.
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I want to learn Haskell, but...
State of the Haskell Ecosystem
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Why are haskell applications so obscure?
According to State of the Haskell ecosystem, Haskell is THE language of choice for implementing compilers, and THE language of choice for writing parsers. Thus, it is not surprising to see more Haskell projects from those particular categories than from other categories.
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base case
This is great for understanding what libraries to use in the Haskell ecosystem: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md
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Haskell for beginners
In particular, I got comfortable reading hackage documentation to understand quickly how to use libraries (aeson, megaparsec, mtl, pipes, etc), got comfortable with the ecosystem (this helped: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md), got comfortable with the main language idioms and features (https://smunix.github.io/dev.stephendiehl.com/hask/tutorial.pdf) and got comfortable with simple things that for some reason had confused me before (case, \case, let).
- What can I do in Haskell? UwU
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Is there "Are We <#$%&> Yet" type of websites for Haskell?
Gabriella Gonzalez has a great doc that is reasonably up-to-date, sounds similar to what you're looking for? https://github.com/Gabriella439/post-rfc/blob/main/sotu.md
- What I wish I had known about voice feminization from the beginning
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Haskell for Artificial Intelligence?
With that being said, Python is without a doubt the best option, and I'd also be very interested to read the articles you found that say that Python is not a good choice because it's been the industry standard for a long time now. Data science and machine learning are one of the areas where the Haskell ecosystem is not as strong as other languages, but libraries and tools do exist. There's a great list of Haskell resources by domain here, and as you can see, there are Haskell bindings to tensorflow and pytorch, along with other libraries that support common data science programming.
What are some alternatives?
Obsidian - Obsidian Language Repository
ihp - 🔥 The fastest way to build type safe web apps. IHP is a new batteries-included web framework optimized for longterm productivity and programmer happiness
cFS - The Core Flight System (cFS)
envy - :angry: Environmentally friendly environment variables
C-structs - C-Struct Types for Haskell
hackage-server - Hackage-Server: A Haskell Package Repository
declarative-programming-streams - Active streaming declarative programmers. See who's online at the following URL:
rlua - High level Lua bindings to Rust
improve - An imperative programming language in Haskell for high assurance embedded applications. ImProve programs are verified with model checking. ImProve compiles to C and Simulink.
awesome-haskell - A collection of awesome Haskell links, frameworks, libraries and software. Inspired by awesome projects line.
fret - A framework for the elicitation, specification, formalization and understanding of requirements.
hoogle - Haskell API search engine