ml-ferret VS gateway

Compare ml-ferret vs gateway and see what are their differences.

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ml-ferret gateway
3 6
7,911 4,777
4.2% 11.8%
4.3 9.8
4 months ago 2 days ago
Python TypeScript
GNU General Public License v3.0 or later 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.

ml-ferret

Posts with mentions or reviews of ml-ferret. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-29.

gateway

Posts with mentions or reviews of gateway. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-22.

What are some alternatives?

When comparing ml-ferret and gateway you can also consider the following projects:

FLaNK-VectorDB - NiFi and Vector Databases

rebuff - LLM Prompt Injection Detector

llm-classifier - Classify data instantly using an LLM

fill - Generative fill in 3D.

mlx - MLX: An array framework for Apple silicon

llmflows - LLMFlows - Simple, Explicit and Transparent LLM Apps

predictive-spy - Spying on Apple’s new predictive text model

VulnerableApp-facade - VulnerableApp-facade is probably most modern lightweight distributed farm of Vulnerable Applications built for handling wide range of vulnerabilities across tech stacks.

pong-wars

promptfoo - Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. [Moved to: https://github.com/promptfoo/promptfoo]

InstantID - InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥

agenta - The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.