aeon VS FLaNK-VectorDB

Compare aeon vs FLaNK-VectorDB and see what are their differences.

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aeon FLaNK-VectorDB
4 4
806 1
4.1% -
9.8 6.7
4 days ago 4 months ago
Python Python
BSD 3-clause "New" or "Revised" License 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.

aeon

Posts with mentions or reviews of aeon. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-15.

FLaNK-VectorDB

Posts with mentions or reviews of FLaNK-VectorDB. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-05.

What are some alternatives?

When comparing aeon and FLaNK-VectorDB you can also consider the following projects:

sktime - A unified framework for machine learning with time series

jan - Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)

Swift-Server - A very basic proof-of-concept Swift HTTP server that does not require Foundation

ml-ferret

Express - Swift Express is a simple, yet unopinionated web application server written in Swift

pong-wars

scikit-learn-ts - Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.

FLaNK-RPI5 - FLaNK-RPI5, Raspberry Pi 5

FLaNK-python-watsonx-processor - FLaNK-python-watsonx-processor, Python, NiFi 2, Processor

darts - A python library for user-friendly forecasting and anomaly detection on time series.

datatrove - Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.