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I tried the second option a few years ago but have not tried the third one. I have been using the first one, using classic Nix. Only recently, I have refactored some of my projects to use Nix Flakes. Today, I also refactored my Haskell project template to use Flakes.
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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I am pretty sure that there are many better ways to do what I do in this template repository, but I am happy using it to quickly spin up a new Haskell project. There are quite a few other things and methods I use in real-life projects, such as multi-package builds and GitHub Release Please Action integration, which are quite easy to add upon this template.
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If you find this template useful, consider starring the repository or bookmarking it for future reference. You might also want to check out my new Nix Flake Templates collection, where I plan to share more Haskell setups as my use cases expand.
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Haskell has been my go-to language for over 7 years. First, I started with Stack, then switched to plain Cabal and finally settled on Nix to provision a development environment for Haskell projects.
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Haskell.nix -- a more flexible but complex option from IOHK.
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haskell-flake -- a recent and modular setup based on flake-parts.
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haskell-flake -- a recent and modular setup based on flake-parts.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
