Plans for official Python client / cross-language support?

[cyucelen]

Hi 👋,

First off, thank you for building redis-smq — it looks like a really solid queueing library with good visibility tools.

We currently run Node.js services for our API layer but our AI workflows and background jobs run in Python. Right now we’re using BullMQ, but we’re not satisfied with it (its Python support is still very limited and rough), so we’ve been evaluating redis-smq as an alternative.

I noticed redis-smq is currently Node-only. While you provide a Web UI and REST API, we’d like to be able to enqueue and consume jobs directly from Python (not via REST) so we can run our AI workflows asynchronously on the same queue without adding another broker.

Could you share:

• Are there plans for an official Python client or cross-language support?
• If not, would you be open to community contributions adding a Python client or porting the Node code to Python?
• Is there any documentation of the Redis key structure / Lua scripts or other internals that would help someone build such a client?

Why Python support matters:

• Python dominates machine learning, data science and AI workloads. Many teams (like ours) mix Node for APIs/front-end with Python for ML.
• A native Python client would let redis-smq be the single queueing system for polyglot stacks without forcing an HTTP hop.
• BullMQ has already taken the step of exposing a Python client to support this scenario; having an equivalent for redis-smq could broaden adoption significantly.
• Serverless/cloud functions often run in Python — official support would make redis-smq attractive for those environments too.

Thanks again for your work on redis-smq and for any roadmap insight you can share. I’d be happy to contribute if you’re open to collaboration on a Python client.

[weyoss]

@cyucelen Sorry for getting back to you late.

First, a huge thanks for using and supporting RedisSMQ!

As you’ve noticed, we’re currently limited to Node.js support. We do plan to add Go and Python down the road, but we’ve got a bunch of refinements and core work to wrap up before expanding to other platforms.

Adding support for other platforms means reworking our Redis data structures and codebase to improve portability, simplify maintenance, and make it easier to roll out new features consistently across different languages.

Right now, we’re all-in on testing and polishing the upcoming v9 release.