[Haskell-cafe] [ANN] dunai-0.11.0 and bearriver-0.14.2

[Ivan Perez]

Dear all,

I'm really excited to announce the release of Dunai 0.11.0 and Bearriver
0.14.2!

Dunai is a reactive programming library structured around a notion of
Monadic Stream Functions. Dunai can be used to implement other reactive
and FRP frameworks on top, including Classic FRP and Arrowized FRP
variants.

Dunai comes with:

- bearriver: API-compatible implementation of Yampa. (The Bear River is
  a tributary to the Yampa river.)

- dunai-test: QuickCheck-based temporal testing library that can be
  connected with the testing system haskell-titan.

See https://github.com/ivanperez-keera/dunai#features for details on
Dunai's features.

This release has addressed mainly styling issues. All library code now
conforms to the main rules of the style guide we follow (which is
publicly documented). We've also addressed other minor maintenance
issues, like removal of unused code and updates to the README. In
total, there have been more than 100 commits.

Special thanks go to Miao ZhiCheng (@hellwolf on github) for a generous
donation towards this release, and to Johannes Riecken
(@johannes-riecken on github) for a regular contribution to support the
dunai and Yampa projects.

As always, dunai, dunai-test and bearriver are released in sync. For
details, see:

- https://github.com/ivanperez-keera/dunai/releases/tag/v0.11.0

*Releases*

You can explore the current versions at:
- https://hackage.haskell.org/package/dunai
- https://hackage.haskell.org/package/dunai-test
- https://hackage.haskell.org/package/bearriver

*Code*

The github repo is located at: https://github.com/ivanperez-keera/dunai

*What's coming*

This release comes exactly 2 months after the last release. The next
release is planned for Jun 21, 2023.

There are several issues open that you can contribute to:

https://github.com/ivanperez-keera/dunai/issues

Following our roadmap, the pending changes remain as follows:

- Benchmarks: Facilitate making sound, evidence-based decisions about
  suggested improvements to the implementation, by completing a series
  of benchmarks.

*Donations*

Our project is now seeking donations to help continue developing dunai,
create new open source libraries, new material, and give talks.

Github will match the first 5K donated, so if you donate $1/month,
github will donate the same amount.

No donation is too small. Any contribution will absolutely help.

See https://github.com/sponsors/ivanperez-keera for details.

If you can help, please come forward.

All the best,

Ivan
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