spring-ai VS LaVague

Compare spring-ai vs LaVague and see what are their differences.

spring-ai

An Application Framework for AI Engineering (by spring-projects)

LaVague

Large Action Model framework to turn natural language into browser actions (by lavague-ai)
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spring-ai LaVague
4 4
2,083 3,965
34.4% 13.4%
9.8 9.5
2 days ago 1 day ago
Java Python
Apache License 2.0 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.

spring-ai

Posts with mentions or reviews of spring-ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

LaVague

Posts with mentions or reviews of LaVague. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

What are some alternatives?

When comparing spring-ai and LaVague you can also consider the following projects:

spring-ai - An Application Framework for AI Engineering [Moved to: https://github.com/spring-projects/spring-ai]

skyvern - Automate browser-based workflows with LLMs and Computer Vision

com.openai.unity - A Non-Official OpenAI Rest Client for Unity (UPM)

mergekit - Tools for merging pretrained large language models.

ChatGPTClone - ChatGPTClone using Hilla and Spring AI

lorabridge - Long-Range Data Bridge (LoRaBridge) project repository

hilla - Build better business applications, faster. No more juggling REST endpoints or deciphering GraphQL queries. Hilla seamlessly connects Spring Boot and React to accelerate application development.

flink-sql-lineage - The Lineage Analysis system for FlinkSQL supports advanced syntax such as Watermark, UDTF, CEP, Windowing TVFs, and CTAS.

makeMoE - From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)

FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...

FLaNK-python-processors - Many processors