Hive-Nectar & Nectarengine v0.2.x Released!

in Synergy Builders15 hours ago (edited)

Hey everyone,

Today I want to officially announce that the v0.2.x series of hive-nectar and nectarengine are live!

AI got flashy for this one!

After much testing, crushing bugs, and modernization, I feel they are ready for the masses. We even had a successful prelaunch test with @steembasicincome, where the libraries are already purring along in production.

They are up on GitHub and PyPI right now.

Get the Code

Hive-Nectar v0.2.3

Nectarengine v0.2.1

Please submit any issues you find to the GitHub trackers.

EDIT: hive-nectar is now at v0.2.5 after two emergency patches that came up.

As always,
Michael Garcia a.k.a. TheCrazyGM

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Obrigado por promover a Língua Portuguesa em suas postagens.

Vamos seguir fortalecendo a comunidade lusófona dentro da Hive.

Metade das recompensas dessa resposta serão destinadas ao autor do post.

Vote no @perfilbrasil para Testemunha Hive.

ohh this is great work, Congrats on the release, Michael.

Shipping a stabilized v0.2.x series for both hive-nectar and nectarengine is a meaningful milestone, especially after real-world validation with @steembasicincome already running the libraries in production. That kind of prelaunch testing carries far more weight than isolated demos.

It is also good to see active maintenance reflected in the rapid follow up patches on hive-nectar moving to v0.2.5. That responsiveness is exactly what developers look for when deciding whether a library is safe to build on long term.

The modernization work and tighter integration paths you are pushing here are important for the broader Hive ecosystem. Tooling that reduces friction for developers is one of the few things that consistently compounds network value over time.

Appreciate you keeping the code open, published on both GitHub and PyPI, and encouraging transparent issue tracking. That sets the right tone for adoption.

Looking forward to seeing what gets built on top of this stack.

In the long term, this will help in scaling