New Haskell Foundation to Foster Haskell Adoption, Raises 200k USD

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  • duckling

    Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.

    > It appears that the intent is to focus on pain points in the Haskell toolchain and libraries.

    Good. I set myself the challenge of compiling a Haskell program [1] during the Christmas holidays. It was meant to be a "one mince pie" challenge, but after an hour I discovered the VM I used didn't have enough RAM (during compilation we were approaching 4GB), then I ran out of disk space as stack approaches 5GB & I had other stuff installed. Once a few hours had gone by (this program isn't fast to compile) I had a working program. I now have to figure out if I can distribute just the resulting binary to other servers, or if it needs other software like GHC installing. Having finished the pack of mince pies, that can wait to another day.

    I know when I first started compiling C/C++ software there was a learning curve and it took hours the first time, but I found it easier to get started. With Haskell, the way one version of GHC is installed first and then Stack installs a completely isolated version is confusing; plus the inscrutable error messages (haven't got it to hand, but one means OOM but doesn't say that - it takes a Google to find the GitHub issue to work that out).

    And this is before I try and experiment/decide to learn some Haskell. Apart from the error messages they're not issues with Haskell per se, but they contribute to the experience of it.


  • libcurl

    A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET and TFTP. libcurl offers a myriad of powerful features

    > cURL now optionally uses Rust for... something.

    You can optionally choose to use a Rust-based HTTP stack.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • semantic-source

    Parsing, analyzing, and comparing source code across many languages

    PostgREST is written in Haskell and quite popular:

    Shellcheck has become a very important tool to many people writing shell scripts:

    GitHub's semantic analysis is written in Haskell:

    I'm not sure why Pandoc doesn't count.

    I think it is definitely the case that most examples of successful Haskell are technical programs of interest to hackers. I don't think that's much of a problem myself.

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