rllama VS litestar

Compare rllama vs litestar and see what are their differences.

rllama

Rust+OpenCL+AVX2 implementation of LLaMA inference code (by Noeda)

litestar

Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs (by litestar-org)
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rllama litestar
7 27
519 4,453
- 3.1%
6.2 9.8
3 months ago 4 days ago
Rust Python
GNU Affero General Public License v3.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

rllama

Posts with mentions or reviews of rllama. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-03.

litestar

Posts with mentions or reviews of litestar. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-27.

What are some alternatives?

When comparing rllama and litestar you can also consider the following projects:

llama.cpp - LLM inference in C/C++

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM

apiflask - A lightweight Python web API framework.

alpaca-lora - Instruct-tune LLaMA on consumer hardware

streamsync - No-code in the front, Python in the back. An open-source framework for creating data apps.

ultraviolet - A wide linear algebra crate for games and graphics.

Flask - The Python micro framework for building web applications.

80r3d

dream-html - Render HTML, SVG, MathML, htmx markup from your OCaml Dream backend server

stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.

live_svelte - Svelte inside Phoenix LiveView with seamless end-to-end reactivity