redis-rs VS MeiliSearch

staticpi, is a websocket forwarding service. Basically, it enables one to keep a Raspberry pi, or any computer, “connected”, in order to send and receive messages to and from any client, without having to deal with a static IP address, open ports on your router, or similar. Built in Rust, using axum, which in turn uses tungestine-rs for the websocket connections, tokio, sqlx, redis-rs and others.

redis (use streams and pubsub)

Are you addressing the long-standing issue that the redis client has related to dropped connections?

redis: by far the most popular and definitely the most ergonomic library. However, I was frustrated by its pubsub support; while generally acceptable, it's impossible to perform subscription operations while consuming messages. I like the library, but the workarounds to this issue were unacceptable to me.

I switched to LALRPOP for gluon but I still use combine in https://github.com/mitsuhiko/redis-rs and some other projects which need to parse "protocols" (less need for good error messages/error recovery and more need for speed).

The project is implemented with MongoDB Rust driver and redis-rs crate.

redis-rs, a Rust library for Redis with both high and low-level APIs

I think the redis crate was a well-organized API library. It's still sometimes hard to know the right things to make public and I think they nailed it.

Based on redis-rs, this library is a port of the Elixir Redix.Stream library.

Don't know about a progress bar, but here is an open source search engine: https://www.meilisearch.com/

toml [dependencies] milli_v1 = { git = "https://github.com/meilisearch/meilisearch", package = "milli", tag = "v1.1.1" }

Meilisearch

Elasticsearch is heavy to run and manage. Take a look at Meilisearch and Typesense

While it doesn't answer your question, may I suggest you take a look at Melisearch ? It is an open-source search engine implemented in Rust. Very easy to deploy and use (assuming you don't need to embed the engine into your binary).

Meilisearch - https://www.meilisearch.com - 10,000 free searches/month, then $0.25/1,000 searches.

To develop SearQ, I used Ruby with Meilisearch an open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow...and several open source libraries.

Hey all! I just launched OpenTheo, a free collection of transcribed Bible teachings and other Christian material. So far, I've transcribed over 10,000 hours of content for the first time, including teachings from Steve Gregg, Tim Keller, Dr. Martyn Lloyd-Jones, and more.

Transcripts are fully interactive. You can click on any words in the transcript to instantly start playing the audio at that point in time. The currently playing portion of the transcript is also underlined to make it easier to follow along.

Transcripts are produced using ggerganov's Whisper.cpp (https://github.com/ggerganov/whisper.cpp). None of this work would have been possible without the Whisper model and ggerganov's work to enable it to run on CPUs.

The content of transcripts are indexed and searchable via the site search (powered by Meilisearch - https://github.com/meilisearch/meilisearch), making it easy to find content on specific topics or that discuss specific of the Bible.

Questions/comments are welcome!