Software Alternatives, Accelerators & Startups

Annoy VS Twidere

Compare Annoy VS Twidere and see what are their differences

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.

Twidere logo Twidere

Tired of seeing ads and promotions in your timeline, being disrupted by tweets from bots and people...
  • Annoy Landing page
    Landing page //
    2023-10-10
  • Twidere Landing page
    Landing page //
    2023-09-11

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

Twidere videos

Twidere, Android App Review App Pick

More videos:

  • Review - Twidere - Android App Pick
  • Review - Twidere Mobile App - Automated Wealth Network Training

Category Popularity

0-100% (relative to Annoy and Twidere)
Utilities
100 100%
0% 0
Twitter Tools
0 0%
100% 100
Search Engine
100 100%
0% 0
Social Media Marketing
0 0%
100% 100

User comments

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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.

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 / 9 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: 12 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: about 1 year ago
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Twidere mentions (0)

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

What are some alternatives?

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

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

Tweetbot - Sync your timeline across your iPhone, iPad, and Mac. Mute tweets by user, hashtag, tweet source, or keywords (including regex). 3rd Party support for image, video, read later, and timeline sync services.

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

TweetDeck - TweetDeck is your personal browser for staying in touch with what’s happening now.

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

HootSuite - Enhance your social media management with Hootsuite, the leading social media dashboard. Manage multiple networks and profiles and measure your campaign results.