Software Alternatives & Reviews

Bourbon VS Annoy

Compare Bourbon VS Annoy and see what are their differences

Bourbon logo Bourbon

Bourbon - A simple and lightweight mixin library for Sass / CSS.

Annoy logo Annoy

Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point.
  • Bourbon Landing page
    Landing page //
    2021-09-17
  • Annoy Landing page
    Landing page //
    2023-10-10

Bourbon videos

Top 10 Budget-ish Bourbons (according to whiskey lovers)

More videos:

  • Review - Best Available Bourbons of 2021
  • Review - Top 5 BEST bourbons of 2021!

Annoy videos

Does Asking for Reviews Annoy My Customers?

More videos:

  • Review - Why Timex Watches Annoy Me | Timex Would Dominate the Market If They Just...
  • Demo - Annoy-a-tron Demonstration

Category Popularity

0-100% (relative to Bourbon and Annoy)
Development Tools
100 100%
0% 0
Utilities
0 0%
100% 100
Javascript UI Libraries
100 100%
0% 0
Search Engine
0 0%
100% 100

User comments

Share your experience with using Bourbon and Annoy. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Annoy seems to be more popular. It has been mentiond 35 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Bourbon mentions (0)

We have not tracked any mentions of Bourbon yet. Tracking of Bourbon recommendations started around Mar 2021.

Annoy mentions (35)

  • Do we think about vector dbs wrong?
    The focus on the top 10 in vector search is a product of wanting to prove value over keyword search. Keyword search is going to miss some conceptual matches. You can try to work around that with tokenization and complex queries with all variations but it's not easy. Vector search isn't all that new a concept. For example, the annoy library (https://github.com/spotify/annoy), an open source embeddings database. - Source: Hacker News / 8 months ago
  • Vector Databases 101
    If you want to go larger you could still use some simple setup in conjunction with faiss, annoy or hnsw. Source: 11 months ago
  • Calculating document similarity in a special domain
    I then use annoy to compare them. Annoy can use different measures for distance, like cosine, euclidean and more. Source: 11 months ago
  • Can Parquet file format index string columns?
    Yes you can do this for equality predicates if your row groups are sorted . This blog post (that I didn't write) might add more color. You can't do this for any kind of text searching. If you need to do this with file based storage I'd recommend using a vector based text search and utilize a ANN index library like Annoy. Source: 12 months ago
  • [D]: Best nearest neighbour search for high dimensions
    If you need large scale (1000+ dimension, millions+ source points, >1000 queries per second) and accept imperfect results / approximate nearest neighbors, then other people have already mentioned some of the best libraries (FAISS, Annoy). Source: 12 months ago
View more

What are some alternatives?

When comparing Bourbon and Annoy, you can also consider the following products

jQuery - The Write Less, Do More, JavaScript Library.

Vectara Neural Search - Neural search as a service API with breakthrough relevance

React Native - A framework for building native apps with React

Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

Babel - Babel is a compiler for writing next generation JavaScript.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.