hdbscan VS Milvus

Compare hdbscan vs Milvus and see what are their differences.

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hdbscan Milvus
6 105
2,686 27,206
1.2% 3.3%
5.8 10.0
18 days ago 2 days ago
Jupyter Notebook Go
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.


Posts with mentions or reviews of hdbscan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-16.
  • Introducing the Semantic Graph
    5 projects | dev.to | 16 Sep 2022
    A number of excellent topic modeling libraries exist in Python today. BERTopic and Top2Vec are two of the most popular. Both use sentence-transformers to encode data into vectors, UMAP for dimensionality reduction and HDBSCAN to cluster nodes.
  • Hierarchical clustering algorithm
    1 project | /r/learnmachinelearning | 15 Apr 2022
  • Introduction to K-Means Clustering
    5 projects | news.ycombinator.com | 14 Mar 2022
    Working in spatial data science, I rarely find applications where k-means is the best tool. The problem is that it is difficult to know how many clusters you can expect on maps. Is it 5, 500, or 10,000? Here HDBSCAN [1] shines because it will cluster _and_ select the most suitable number of clusters, to cut the single linkage cluster tree.

    [1]: https://github.com/scikit-learn-contrib/hdbscan

  • New clustering algorithms like DBSCAN and OPTICS?
    1 project | /r/MLQuestions | 11 Jan 2022
    You might be interested in HDBSCAN which has several implementations, but the python implelementation is commonly used. That implementation makes use of algorithmic changes to significantly improve the computational complexity. Some more recent variations on that include the gamma-linkage variant which is quite powerful.
  • DBSCAN ALternatives?
    1 project | /r/MLQuestions | 26 Dec 2021
    The OPTICS algorithm is in the latest versions of sklearn and is a reasonable alternative to DBSCAN -- it has much the same theoretical foundation, but can cope with variable density clusters better. If you are willing to step outside sklearn itself there is also HDBSCAN which is a hierarchical clustering version of DBSCAN and is in sklearn-contrib so should be compatible with an sklearn pipeline.
  • [D] Good algorithm for clustering big data (sentences represented as embeddings)?
    5 projects | /r/MachineLearning | 31 Mar 2021
    Maybe use (H)DBScan which I think should work also for huge datasets. I don't think there is a ready to use clustering with unbuild cosine similarily metrics, and you also won't be able to precompute the 100k X 100k dense similarity matrix. The only way to go on this is to L2 normalize your embeddings, then the dot product will be the angular distance as a proxy to the cosine similarily. See also https://github.com/scikit-learn-contrib/hdbscan/issues/69


Posts with mentions or reviews of Milvus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-02.
  • Computer Vision Meetup: Develop a Legal Search Application from Scratch using Milvus and DSPy!
    2 projects | dev.to | 2 May 2024
    Legal practitioners often need to find specific cases and clauses across thousands of dense documents. While traditional keyword-based search techniques are useful, they fail to fully capture semantic content of queries and case files. Vector search engines and large language models provide an intriguing alternative. In this talk, I will show you how to build a legal search application using the DSPy framework and the Milvus vector search engine.
  • Ask HN: Who is hiring? (April 2024)
    10 projects | news.ycombinator.com | 1 Apr 2024
    Zilliz (zilliz.com) | Hybrid/ONSITE (SF, NYC) | Full-time

    I am part of the hiring team for DevRel

    NYC - https://boards.greenhouse.io/zilliz/jobs/4307910005

    SF - https://boards.greenhouse.io/zilliz/jobs/4317590005

    Zilliz is the company behind Milvus (https://github.com/milvus-io/milvus), the most starred vector database on GitHub. Milvus is a distributed vector database that shines in 1B+ vector use cases. Examples include autonomous driving, e-commerce, and drug discovery. (and, of course, RAG)

    We are also hiring for other roles that I am not personally involved in the hiring process for such as product managers, software engineers, and recruiters.

  • Unlock Advanced Search Capabilities with Milvus and Read about RAG
    1 project | dev.to | 22 Mar 2024
    Get started with Milvus on GitHub.
  • Milvus VS pgvecto.rs - a user suggested alternative
    2 projects | 13 Mar 2024
  • How to choose the right type of database
    15 projects | dev.to | 28 Feb 2024
    Milvus: An open-source vector database designed for AI and ML applications. It excels in handling large-scale vector similarity searches, making it suitable for recommendation systems, image and video retrieval, and natural language processing tasks.
  • Simplifying the Milvus Selection Process
    3 projects | dev.to | 19 Feb 2024
    Selecting the right version of open-source Milvus is important to the success of any project leveraging vector search technology. With Milvus offering different versions of its vector database tailored to varying requirements, understanding the significance of selecting the correct version is key for achieving desired outcomes.
  • 7 Vector Databases Every Developer Should Know!
    4 projects | dev.to | 8 Feb 2024
    Milvus is an open-source vector database designed to handle large-scale similarity search and vector indexing. It supports multiple index types and offers highly efficient search capabilities, making it suitable for a wide range of AI and ML applications, including image and video recognition, natural language processing, and recommendation systems.
  • Ask HN: Who is hiring? (February 2024)
    18 projects | news.ycombinator.com | 1 Feb 2024
    Zilliz is hiring! We're looking for REMOTE and/or HYBRID roles in SF

    Zilliz is the company behind Milvus (https://github.com/milvus-io/milvus), the most widely adopted vector database. Vector databases are a crucial piece of any technology stack looking to take advantage of unstructured data. Most recently and notably, Retrieval Augmented Generation (RAG). For RAG, vector databases like Milvus are used as the tool to inject customized data. In other words, vector databases make things like customized chat bots, personalized product recommendations, and more possible.

    We are hiring for Developer Advocates, Senior+ Level Engineers and Product people, and Talent Acquisition. Check out all the roles here: https://zilliz.com/careers

  • Qdrant, the Vector Search Database, raised $28M in a Series A round
    8 projects | news.ycombinator.com | 23 Jan 2024
    Good on them, I know the crustaceans are out here happy about this raise for a Rust based Vector DB!

    (now I'm gonna plug what I work on)

    If you're interested in a more scalable vector database written in Go, check out Milvus (https://github.com/milvus-io/milvus)

  • Open Source Advent Fun Wraps Up!
    10 projects | dev.to | 5 Jan 2024
    But before we do, I do want to say that 🤩 all these lovely Open-Source projects would love a little 🎉💕 love by getting a GitHub star ⭐ for their efforts. Including Open Source Milvus 🥰

What are some alternatives?

When comparing hdbscan and Milvus you can also consider the following projects:

faiss - A library for efficient similarity search and clustering of dense vectors.

pgvector - Open-source vector similarity search for Postgres

Top2Vec - Top2Vec learns jointly embedded topic, document and word vectors.

100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

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

RACplusplus - A high performance implementation of Reciprocal Agglomerative Clustering in C++

Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Elasticsearch - Free and Open, Distributed, RESTful Search Engine

leidenalg - Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

Face Recognition - The world's simplest facial recognition api for Python and the command line