amazonka
large-records
amazonka | large-records | |
---|---|---|
7 | 2 | |
589 | 41 | |
- | - | |
9.5 | 5.9 | |
25 days ago | 7 months ago | |
Haskell | Haskell | |
Mozilla Public License 2.0 | BSD 3-clause "New" or "Revised" 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.
amazonka
-
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
- amazonka 2.0.0-rc2 announced
-
[JOB] Haskell Developer @ Bellroy (Remote)
Most of our tech stack is built on Free and Open Source Software, and we give back wherever we can - either by upstreaming fixes or publishing libraries. In the Haskell world, we’ve open-sourced wai-handler-hal and aws-arn, made significant contributions to amazonka and we have more on the way. If you’re interested, here’s our applications page. If you have questions, you can ask them here or email [[email protected]](mailto:[email protected]).
-
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
- Usability of smart constructors and large records with required, optional, and default parameters
- Amazonka 2.0.0-rc1 is ready for testing
-
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
large-records
-
New large-records release: now with 100% fewer quotes
Good question! I checked, and no, they are currently discarded. I think that's fixable. I've opened a ticked at https://github.com/well-typed/large-records/issues/80 .
-
Haskell ghost knowledge; difficult to access, not written down
Also: maybe you already knew GHC.Generics instances had superlinear compilation time, but betcha you didn't know even normal records themselves had superlinear compilation time. At least I didn't know until Edsko's super-recent investigation (resulting in yet-unreleased https://github.com/well-typed/large-records)
What are some alternatives?
aws-ec2 - Now maintained by: See https://github.com/memcachier/aws-ec2
superrecord - Haskell: Supercharged anonymous records
amazonka-s3-streaming - Provides a conduit based interface to uploading data to S3 using the Multipart API
rust-bindgen - Automatically generates Rust FFI bindings to C (and some C++) libraries.
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
aws-cloudfront-signer - Haksell library package for signing URL requests to the AWS CloudFront service
ec2-unikernel - Tool for uploading unikernels into EC2
serverless-haskell - Deploying Haskell applications to AWS Lambda with Serverless