awesome-vector-search VS featureform

Compare awesome-vector-search vs featureform and see what are their differences.

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awesome-vector-search featureform
20 28
1,275 1,674
5.5% 1.1%
6.1 9.7
19 days ago 13 days ago
Jupyter Notebook
MIT License Mozilla Public 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.

awesome-vector-search

Posts with mentions or reviews of awesome-vector-search. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-07.

featureform

Posts with mentions or reviews of featureform. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-13.

What are some alternatives?

When comparing awesome-vector-search and featureform you can also consider the following projects:

pgvector - Open-source vector similarity search for Postgres

feast - Feature Store for Machine Learning

annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Milvus - A cloud-native vector database, storage for next generation AI applications

qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

feathr - Feathr – A scalable, unified data and AI engineering platform for enterprise

hopsworks - Hopsworks - Data-Intensive AI platform with a Feature Store

hnswlib - Header-only C++/python library for fast approximate nearest neighbors

OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

vearch - Distributed vector search for AI-native applications

vald - Vald. A Highly Scalable Distributed Vector Search Engine