tilapia
semantic-source
tilapia | semantic-source | |
---|---|---|
12 | 23 | |
59 | 8,862 | |
- | 0.2% | |
6.3 | 9.1 | |
6 months ago | about 1 month ago | |
Haskell | ||
- | 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.
tilapia
- Please contribute to the GHC 9.8 breakage inventory
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Match against 'non symbol' ASCII characters
Perhaps the documentation for Char should contain examples of how you write the literals. Tracking as https://github.com/tomjaguarpaw/tilapia/issues/128
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2022 State of Haskell Survey
Can you please report concrete examples here: https://github.com/tomjaguarpaw/tilapia/issues/new
I'll do what I can to improve the situation, but I need to know which packages precisely you are talking about.
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Is Haskell Platform no longer supported?
Thanks! Tracking at https://github.com/tomjaguarpaw/tilapia/issues/109
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Coming back to Haskell after a couple of years, what changes should I be aware of?
It would be nice with a "modern cabal for stack users" tutorial (ddg tells me it's an issue https://github.com/tomjaguarpaw/tilapia/issues/11 ), answering questions like
- A simple guide: set-up a Haskell development environment in Windows 10
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Can't get things to work. It is normal to learn haskell with plain vim?
If you're on Windows and you're feeling brave you could try these new instructions developed by a collaborator of mine over at the tilapia project. If anything goes wrong with those instructions then please put a message on the pull request describing what the problem was and we'll try to get it fixed.
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Haskell as a first timer - Am I missing something ?
Great! I'd be happy to have you on board. Please "Watch" the repo so that you are notified of discussions that happen there. Feel free to start your own discussions at any time by opening an issue.
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Why exactly I want Boring Haskell to happen
Feel free to collaborate with me on Tilapia. At the very least I would welcome knowing about your ideas.
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Noob questions
I also have a personal project (tilapia) for tracking difficulties in the Haskell ecosystem. Feel free to post any observations, questions or difficulties there.
semantic-source
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The Meaning of Monad in MonadTrans
One production example I know: GitHub code navigation is written in Haskell https://github.com/github/semantic
- Semantic: Parsing, analyzing, and comparing source code across many languages
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How to Get Started with Tree-Sitter
ah, easy. it's because support has not been added into https://github.com/github/semantic which is the tech that powers the GitHub UI. Adding support is pretty easy/mainly glue code [1] that imports the tree sitter API.
[1] https://github.com/github/semantic/blob/793a876ae45d38a6bd17...
- Scala community now has control over the official Scala grammar for tree-sitter 🎉
- 2022 State of Haskell Survey
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11 Companies That Use Haskell in Production
GitHub used Haskell for implementing Semantic, a command-line tool for parsing, analyzing, and comparing source code.
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What happened with GitHub's semantic project?
As far as engineering effort, you can read this GitHub comment for an overview of where we’d like to take the project in the future. The tl;dr here is that the open sum type view of the world made it very concise to fold over syntax trees (since such a view of data is ultimately unityped, recursion schemes Just Work), but the tradeoff thus associated—namely, that you have to parse a concrete syntax tree into an open-sum view (a complicated and painful-to-read process), that you can never really be sure how a given syntax tree is shaped, and that the types don’t help you nearly as much as they could—proved to be too onerous to deal with. Going forward, we’re generating syntax types from the AST once per target language, and working on an abstraction (probably via this generated code; I made five separate efforts at using Generics for this, and failed every time) that recovers at least some of the convenience of recursion schemes. It turns out that recursion schemes over a mutually recursive syntax tree—as pretty much every language’s syntax trees are, in practice—are pretty much an unsolved problem, especially when extended to languages like TypeScript, which have hundreds of different syntax nodes.
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Stack Graphs
Meanwhile their Tree-Sitter-based semantic parser[1] looks abandoned. There is even rotting for years pull request[2] adding support of the same stack graphs into it.
[1] https://github.com/github/semantic
[2] https://github.com/github/semantic/pull/535
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Cardano relying on Haskell is not bad at all
The semantic team at GitHub uses it for statically analyzing the dozens of languages that end up in GitHub repositories: https://github.com/github/semantic/blob/eaf13783838861fe5eb6cd46d59354774a8eb88d/docs/why-haskell.md
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7 Useful Tools Written in Haskell
Yesterday I was looking for some examples of projects using tree-sitter (which is C) when I found GitHub's semantic, used to analyze and compare source code, and written in Haskell: https://github.com/github/semantic/
What are some alternatives?
haskell-language-server - Official haskell ide support via language server (LSP). Successor of ghcide & haskell-ide-engine.
diffsitter - A tree-sitter based AST difftool to get meaningful semantic diffs
purescript-halogen - A declarative, type-safe UI library for PureScript.
massiv - Efficient Haskell Arrays featuring Parallel computation
vscode-haskell - VS Code extension for Haskell, powered by haskell-language-server
refined - Refinement types with static checking
hpack - hpack: A modern format for Haskell packages
cantor-pairing - Convert data to and from a natural number representation
ghcid - Very low feature GHCi based IDE
jump - Jump start your Haskell development
haskelldb - A library for building re-usable and composable SQL queries.
Glean - System for collecting, deriving and working with facts about source code.