fastassert
Dockerized LLM inference server with constrained output (JSON mode), built on top of vLLM and outlines. Faster, cheaper and without rate limits. Compare the quality and latency to your current LLM API provider. (by phospho-app)
fructose
By bananaml
| fastassert | fructose | |
|---|---|---|
| 1 | 3 | |
| 25 | 692 | |
| - | 12.1% | |
| 7.0 | 9.1 | |
| 3 months ago | 22 days ago | |
| Jupyter Notebook | Python | |
| - | Apache License 2.0 |
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.
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.
fastassert
Posts with mentions or reviews of fastassert.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-18.
fructose
Posts with mentions or reviews of fructose.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-18.
- FLaNK AI Weekly 18 March 2024
-
Show HN: Fructose, LLM calls as strongly typed functions
This approach may be too high-level "magic" to the point of being difficult to work with and iterate upon.
Looking at the prompt templates (https://github.com/bananaml/fructose/tree/main/src/fructose/... ), they use LangChain-esque "just try to make the output to be valid JSON" when APIs such as the GPT-4 turbo which this model uses by defauly now support function calling/structured data natively, and libraries such as outlines (https://github.com/outlines-dev/outlines) which is more complex but can better ensure a dictionary output for local LLMs
What are some alternatives?
When comparing fastassert and fructose you can also consider the following projects:
outlines - Structured Text Generation
grok-1 - Grok open release