mud-pi
readyset
| mud-pi | readyset | |
|---|---|---|
| 5 | 24 | |
| 341 | 3,883 | |
| - | 1.8% | |
| 0.0 | 9.8 | |
| almost 3 years ago | 6 days ago | |
| Python | Rust | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mud-pi
- FLaNK Stack 26 February 2024
- A simple MUD server in Python which can be run on a Raspberry Pi
- Python for dnd
- What kind of data structure is this and how can I modify it to meet my needs?
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has any one created a MUD(multiuser dungeon) game via python?
Maybe look at MUD Pi. Are you sure you want to develop a MUD though? That will require you to create a server (possibly hosted through a paid platform like AWS or Heroku than if you plan to connect via a LAN then that won't be necessary). A single-player roguelike would be a bit easier.
readyset
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Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
- Some platforms like Supabase Realtime [3] and Firebase offer subscription models to database changes, but these solutions fall short when dealing with complex queries involving joins or group-bys.
My vision is that the modern frontend to behave like a series of materialized views that dynamically update as the underlying data changes. Current state management libraries handle state trees well but don't seamlessly integrate with relational or graph-like database structures.
The only thing I can think of is to implement it by myself, which sounds like a big PITA.
Anything goes, Brainstorm with me. Is it causing you headaches as well? Are you familiar with an efficient solution? how are you all tackling it?
[1] https://readyset.io/
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FLaNK Stack 26 February 2024
Postgresql + MySQL Cache https://github.com/readysettech/readyset
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Readyset: A MySQL and Postgres wire-compatible caching layer
I just wanted to give a high five for having Jepsen tests for this: https://github.com/readysettech/readyset/tree/stable-240117/...
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Fine-grained caching strategies of dynamic queries
This example is a great use case for partial incremental view maintenance systems like ReadySet: you automatically get something like the “prepopulating the cache” section (toward the end of the blog) while only caching the data the application is using, and avoiding the need to manually implement any sort of invalidation logic.
(Disclaimer: I used to work for them, but don’t anymore. It’s all available for free on GitHub though for anyone interested: https://github.com/readysettech/readyset)
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Squeeze the hell out of the system you have
There are systems that will do that for you like https://readyset.io/.
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Production grade databases in Rust
ReadySet
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Dozer: A scalable Real-Time Data APIs backend written in Rust
readyset.io is the company that jonhoo was associated with for work on noria
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I'm building Memories, a FOSS alternative to Google Photos with a focus on UX and performance
Might be interesting to try out https://readyset.io for this use case.
- Materialized View: SQL Queries on Steroids
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Tips on scaling a monolithic Rust web server?
On the caching topic, I found the ReadySet(né Noria) approach to be extremely interesting.
What are some alternatives?
evennia - Python MUD/MUX/MUSH/MU* development system
materialize - The data warehouse for operational workloads.
textray - A Telnet server that allows a connected client to navigate a text-based ray-casted 3D landscape
noria - Fast web applications through dynamic, partially-stateful dataflow
thonny - Python IDE for beginners
singleflight - Rust port of Go's singleflight package
mciwb - Minecraft Interactive world builder
chiselstrike - ChiselStrike abstracts common backends components like databases and message queues, and let you drive them from a convenient TypeScript business logic layer
awesome-python-for-data-science - A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊
googleapis - Public interface definitions of Google APIs.
gemma.cpp - lightweight, standalone C++ inference engine for Google's Gemma models.
genSQL - A SQL generator tool to create random rows for test schemas