AI · alternatives · 2026
24 alternatives to K-Means-TS
Python? R? Nah... Here's a TypeScript KMeans implementation!
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. K-Means-TS launched in 2021; newer entries below may have overtaken it.
- 1
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 →
- 2
k-means clustering algorithm implementation written in Go - muesli/kmeans
2018 · github.com · its alternatives →
- 3
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
- 4
Double-digit speed-ups over naïve K-Means Parallel by default (Rayon) Balanced & spherical variants in one crate Memory-savvy for multi-GB datasets Builder API that just feels ergonomic Docs are live, the license is Apache-2.0, and the repo is one `cargo add kentro` away. Give it a spin—curious to hear how it performs in your pipelines!
2025 · github.com · its alternatives →
- 5
This little project came about because I kept running into the same problem: cleanly differentiating sensor data before doing analysis. There are a ton of ways to solve this problem, I've always personally been a fan of using kalman filters for the job as its easy to get the double whammy of resampling/upsampling to a fixed consistent rate and also smoothing/outlier rejection. I wrote a little numpy only bayesian filtering/smoothing library recently (https://github.com/hugohadfield/bayesfilter/) so this felt like a fun and very useful first thing to…
2024 · github.com · its alternatives →
- 6
We've open-sourced Klarity - a tool for analyzing uncertainty and decision-making in LLM token generation. It provides structured insights into how models choose tokens and where they show uncertainty. What Klarity does: - Real-time analysis of model uncertainty during generation - Dual analysis combining log probabilities and semantic understanding - Structured JSON output with actionable insights - Fully self-hostable with customizable analysis models The tool works by analyzing each step of text generation and returns a structured JSON: - uncertainty_points: array of {step, entropy,…
2025 · github.com · its alternatives →
- 7
Hey folks. I'm the author of kr8s. I’ve been working on kr8s for a while now and one of my core goals is to build a Python library for Kubernetes that is the most simple, readable and produces the most maintainable code. It should enable folks to write clean code when working with the Kubernetes API. If you're interested in how it compares with other libraries then check out [this post](https://jacobtomlinson.dev/posts/2023/comparison-of-kr8s-vs-...). Happy to answer any questions you might have in the comments here .
2023 · github.com · its alternatives →
- 8
A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
- 9
- 10
text classification - no machine learning knowledge needed - Windsooon/cherry
2019 · github.com · its alternatives →
- 11PK
I built a small, self-contained K-Means implementation in pure PyTorch: https://gitlab.com/hassonofer/pt_kmeans I was working on dataset sampling and approximate nearest neighbor search, and tried several existing libraries for large-scale K-Means. I couldn't find something that was fast, simple, and would run comfortably on my own workstation without hitting memory limits. Maybe I missed an existing solution, but I ended up writing one that fit my needs. The core insight: Keep your data on CPU (where you have more RAM) and intelligently move only the necessary chunks to…
2025 · its alternatives →
- 12
Hi Hacker News! My name is Sagar, I’m working on a startup called Speakeasy - we’re making all APIs self-service. The platform is currently in beta, but we’re independently launching this tool which you can use to generate language-idiomatic, statically-typed TS SDKs from any public OpenAPI schemas. We hope to continue iterating on this to give devs a way to easily generate high fidelity client SDKs for all the major languages. Inspiration for this product is from past experiences struggling with OpenAPI. I was originally optimistic about using the OpenAPI tools to build out our offering,…
2022 · easysdk.xyz · its alternatives →
- 13
KMDS▲13KMDS is a library for data scientists and data analysts to capture knowledge and facilitate collaboration and reporoduciblity of data science tasks. Recipes for using KMDS with analytics and machine learning tasks are available at: https://github.com/rajivsam/kmds_recipes Please see the wiki section for documentation.
2024 · github.com · its alternatives →
- 14OO
Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
2022 · objectiv.io · its alternatives →
- 15
Detect similar kanji characters with k-means method
2022 · kanji-clustering.vercel.app · its alternatives →
- 16
An open source "Rust ↦ WASM, k-Means Color Quantization" crate for Image-to-Pixel-Art conversions in the browser - gametorch/image_to_pixel_art_wasm
2025 · github.com · its alternatives →
- 17
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton - stitchfix/hamilton
2021 · github.com · its alternatives →
- 18
This R statistical nmath module re-created in typescript/javascript and handwritten webassembly. - R-js/libRmath.js
2018 · github.com · its alternatives →
- 19
- 20
A Python package for time series augmentation. Contribute to arundo/tsaug development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 21
- 22
I started writing this book 10 years ago in JavaScript, got through a few chapters (asymptotic notation, basic techniques, start of sorting), and then abandoned it. Recently I picked it back up, converted everything to TypeScript, and used AI (Zenflow [1] + Claude Opus 4.6) to complete the remaining chapters. I provided the structure, direction, and initial chapters; the AI generated the bulk of the remaining content under a spec-driven workflow. The book covers roughly a first 1-2 year CS curriculum: sorting, dynamic programming, graph algorithms, trees, heaps, hash tables, and more. All…
Mar 2026 · amoilanen.github.io · its alternatives →
- 23
Kilometer.io - Automate boring tasks by adding Machine Learning to tools such as CRM, Marketing Automation and Help-desk software
2015 · kilometer.io · its alternatives →
- 24
Pandas is the most common python library for data analytics
2016 · amazon.com · its alternatives →
Also compare
- Want something better than k-means? Try BanditPAM alternatives
- A k-means clustering algorithm implementation written in Go alternatives
- Matrixprofile-ts – A Python library for timeseries motifs and discords alternatives
- Kentro – a fast Rust library for K-Means clustering alternatives
- Automated smooth Nth order derivatives of noisy data alternatives
- Klarity – Open-source tool to analyze uncertainty/entropy in LLM output 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 →