Life & fun · alternatives · 2026

24 alternatives to I presented a novel efficient streaming algorithm

This paper has been accepted to KDD2025.

This is a research paper on streaming algorithms that has been accepted to KDD2025, a major conference in data science and machine learning. The work focuses on developing an efficient approach to processing data… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1. 1
   A Go implementation of TensorFlow's streaming quantiles estimator▲98

   Optimal Quantile Approximation in Streams. Contribute to axiomhq/quantiles development by creating an account on GitHub.

   2018 · github.com · its alternatives →

2. 2
   Want something better than k-means? Try BanditPAM▲281

   Want something better than k-means? I'm happy to announce our SOTA k-medoids algorithm from NeurIPS 2020, BanditPAM, is now publicly available! `pip install banditpam` or `install.packages("banditpam")` and you're good to go! k-means is one of the most widely-used algorithms to cluster data. However, it has several limitations: a) it requires the use of L2 distance for efficient clustering, which also b) restricts the data you're clustering to be vectors, and c) doesn't require the means to be datapoints in the dataset. Unlike in k-means, the k-medoids problem requires cluster centers to be…

   2023 · github.com · its alternatives →

3. 3SA
   StreamDuo – A platform for B2B data streaming▲7

   2022 · streamduo.com · its alternatives →

4. 4
   TensorFlow 1.0▲80

   Open-source machine learning library by Google

   2018 · tensorflow.org · its alternatives →

5. 5
   Data Torrent▲62

   Real-time data streaming (1B events/second)

   2015 · datatorrent.com · its alternatives →

6. 6
   Streaming data analysis on Colab with the help of Bokeh▲5

   2023 · colab.research.google.com · its alternatives →

7. 7
   PDD – Probabilistic De-Duplication of Streams with Bloom Filters▲86

   Advanced Bloom Filter Based Algorithms for Efficient Approximate Data De-Duplication in Streams - jparkie/PDD

   2016 · github.com · its alternatives →

8. 8
   deepstreamHub▲87

   A faster Firebase with an open source core

   2017 · deepstreamhub.com · its alternatives →

9. 9
   Denormalized – Embeddable Stream Processing in Rust and DataFusion▲125

   tl;dr we built an embeddable stream processing engine in Rust using apache DataFusion, check us out at https://github.com/probably-nothing-labs/denormalized Hey HN, We’d like to showcase a very early version of our embeddable stream processing engine called Denormalized. The rise of DuckDB has abundantly made it clear that even for many workloads of Terabyte scale, a single node system outshines the distributed query engines of previous generation such as Spark, Snowflake etc in terms of both performance and cost. Now a lot of workloads DuckDB is used for were normally…

   2024 · github.com · its alternatives →

10. 10
    Talking Machines - Solving intelligence and machine learning fundamentals▲56

    Guest: Nando de Freitas (Oxford, Google DeepMind)

    2015 · thetalkingmachines.com · its alternatives →

11. 11
    BoomFilters – Probabilistic data structures for processing streams▲70

    Probabilistic data structures for processing continuous, unbounded streams. - tylertreat/BoomFilters

    2015 · github.com · its alternatives →

12. 12
    Collabinate▲68

    an API for hosted activity streams

    2014 · its alternatives →

13. 13
    Memory-Based Anomaly Detection in Multi-Aspect Streams▲36

    MemStream: Memory-Based Streaming Anomaly Detection - Stream-AD/MemStream

    2021 · github.com · its alternatives →

14. 14WB
    We built rescaling for distributed stateful stream processing▲5

    2023 · bytewax.io · its alternatives →

15. 15
    Enhance Podcast - "Mutually Assured Machine Learning"▲60

    Understanding machine learning and its applications.

    2016 · soundcloud.com · its alternatives →

16. 16
    BigML▲64

    Machine learning as a service - build predictive apps

    2014 · bigml.com · its alternatives →

17. 17
    A reimplementation of Google's sparsehash in C▲22

    A simple re-implementation of Google's sparsehash as a learning excercise. - qpfiffer/Simple-Sparsehash

    2015 · github.com · its alternatives →

18. 18
    Deep Learning▲67

    The textbook for modern machine learning

    2016 · amazon.com · its alternatives →

19. 19
    Talking Machines: OpenAI and Gaussian Processes▲56

    Featuring Ilya Sutskever, director of research for OpenAI

    2016 · thetalkingmachines.com · its alternatives →

20. 20
    TensorFlow▲17

    An Open Source Library for Machine Intelligence (by Google)

    2015 · tensorflow.org · its alternatives →

21. 21CH
    Concord – High Performance Stream Processing with C++ and Apache Mesos▲7

    2016 · concord.io · its alternatives →

22. 22BA
    Built a low-latency on-chain data stream: We'd love feedback▲5

    2018 · dev.tokenanalyst.io · its alternatives →

23. 23LA
    liblb - A Study and Library of Load Balancing Algorithms▲9

    2017 · liblb.com · its alternatives →

24. 24
    The Simplest ML API▲7

    2021 · doc.clickup.com · its alternatives →

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →