post-rfc
amazonka
Our great sponsors
post-rfc | amazonka | |
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27 | 7 | |
2,186 | 587 | |
- | - | |
2.3 | 9.7 | |
8 months ago | about 1 month ago | |
Haskell | ||
Creative Commons Attribution 4.0 | 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.
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:
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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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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.
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Haskell - Important Libraries
State of the Haskell Ecosystem lists libraries for many of its domains.
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What are the current challenges in Numerical Programming for Haskell?
Recently saw this repo that shows the state of Haskell in a lot of programming applications. It classifies it as Immature for Numerical Programming; I would like to know what are the challenges in it.
amazonka
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Getting Amazonka S3 to work with localstack
This is perhaps not as obvious as it could be. A penny for your thoughts? https://github.com/brendanhay/amazonka/issues/968
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stack
Stack does not clone a copy of a git package for each of a user's projects that uses the package but cabal does. This can be a deal-breaker for cabal when using huge git projects like https://github.com/brendanhay/amazonka that can take forever to git clone. If you have a test/CI setup for a project that uses such packages, cabal's lack of caching can also cause huge delays and more opportunities for failure (from network errors or timeouts). From the proceedings of past issues, I don't think cabal devs are interested in addressing this use case. https://github.com/haskell/cabal/issues/5586
- Amazonka 2.0.0-rc1 is ready for testing
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Haskell ghost knowledge; difficult to access, not written down
amazonka is a bit of a minefield despite being listed as the only AWS library by SOTU
What are some alternatives?
aws-ec2 - Now maintained by: See https://github.com/memcachier/aws-ec2
amazonka-s3-streaming - Provides a conduit based interface to uploading data to S3 using the Multipart API
aws - Amazon Web Services for Haskell
amazon-emailer - A simple daemon to process messages put into a postgresql table and mail them out using amazons SES.
hs-GeoIP - Haskell bindings to the MaxMind GeoIPCity database
aws-lambda - Haskell bindings for AWS Lambda
loup - Simple Workpools
ec2-unikernel - Tool for uploading unikernels into EC2
aws-cloudfront-signer - Haksell library package for signing URL requests to the AWS CloudFront service
serverless-haskell - Deploying Haskell applications to AWS Lambda with Serverless
minio-hs - Minio Client SDK for Haskell
aws-sdk - AWS SDK for Haskell