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Post-rfc Alternatives
Similar projects and alternatives to post-rfc
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ihp
🔥 The fastest way to build type safe web apps. IHP is a new batteries-included web framework optimized for longterm productivity and programmer happiness
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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awesome-haskell
A collection of awesome Haskell links, frameworks, libraries and software. Inspired by awesome projects line.
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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obelisk
Functional reactive web and mobile applications, with batteries included.
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learn-you-a-haskell
“Learn You a Haskell for Great Good!” by Miran Lipovača
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bytestring
An efficient compact, immutable byte string type (both strict and lazy) suitable for binary or 8-bit character data.
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text
Haskell library for space- and time-efficient operations over Unicode text. (by haskell)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
post-rfc reviews and mentions
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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.
- Anti-intellectualism in Haskell
- Awesome-Haskell
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At a crossroads
At work, we tend to build so-called "serverless" APIs, running on AWS. Haskell's story for maintainable software, provided you have the libraries, is excellent. The State of the Haskell Ecosystem document is a good starting point. Once you have a toe-hold running systems in production, the cost of building "just that one missing library" is often not too bad.
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Stats
Gabriella439/post-rfc is an open source project licensed under Creative Commons Attribution 4.0 which is not an OSI approved license.