graphql-client
Call and consume GraphQL APIs with type safe queries and responses (by brandonchinn178)
post-rfc
Blog post previews in need of peer review (by Gabriella439)
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featured
| graphql-client | post-rfc | |
|---|---|---|
| 2 | 27 | |
| 25 | 2,186 | |
| - | - | |
| 6.8 | 2.3 | |
| 10 days ago | 10 months ago | |
| TypeScript | ||
| BSD 3-clause "New" or "Revised" License | Creative Commons Attribution 4.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
graphql-client
Posts with mentions or reviews of graphql-client.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-24.
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At a crossroads
- Branitree seems to expose GraphQL API. You should be able to access it with one of Haskell GraphQL client libraries, either morpheus-graphql-client ( https://hackage.haskell.org/package/morpheus-graphql-client ) or graphql-client ( https://hackage.haskell.org/package/graphql-client )
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My ideal GraphQL framework for Haskell
Yeah, totally agree! I actually implemented the client workflow in the graphql-client library (https://hackage.haskell.org/package/graphql-client) which does that workflow
post-rfc
Posts with mentions or reviews of post-rfc.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-03.
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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.