Search Results for "clustering"
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Showing 1091 open source projects for "clustering"
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1
Clustering.jl
A Julia package for data clustering
Methods for data clustering and evaluation of clustering quality. -
2
HDBSCAN
A high performance implementation of HDBSCAN clustering
HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over varying epsilon values and integrates the result to find a clustering that gives the best stability over epsilon. This allows HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more robust to parameter selection. In practice this means that HDBSCAN returns a good clustering straight away with little or no parameter tuning -- and the primary parameter, minimum cluster size, is intuitive and easy to select. ... -
3
Cluster
Easy Map Annotation Clustering
Cluster is an easy map annotation clustering library. This repository uses an efficient method (QuadTree) to aggregate pins into a cluster. Create an object that conforms to the MKAnnotation protocol, or extend an existing one. Next, add the annotation object to an instance of ClusterManager with add(annotation:). Implement the map view’s mapView(_:viewFor:) delegate method to configure the annotation view. -
4
kind
Kubernetes IN Docker - local clusters for testing Kubernetes
kind is a tool for running local Kubernetes clusters using Docker container “nodes”. kind was primarily designed for testing Kubernetes itself, but may be used for local development or CI. -
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5
minikube
Sets up a local Kubernetes cluster to run it
minikube quickly sets up a local Kubernetes cluster on macOS, Linux, and Windows. We proudly focus on helping application developers and new Kubernetes users. It supports the latest Kubernetes release (+6 previous minor versions). It iscross-platform (Linux, macOS, Windows), and allows the deployment of its functions as a VM, a container, or on bare-metal. Provides multiple container runtimes (CRI-O, containerd, docker), Docker API endpoint for blazing fast image pushes, and advanced... -
6
Altinity Kubernetes Operator ClickHouse
Creates, configures and manages clusters running on Kubernetes
Altinity Kubernetes Operator for ClickHouse creates, configures and manages ClickHouse clusters running on Kubernetes. -
7
Scanpy
Single-cell analysis in Python
Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It includes preprocessing, visualization, clustering, trajectory inference and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells. -
8
Faiss
Library for efficient similarity search and clustering dense vectors
Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. -
9
DeepSqueak
DeepSqueak Using Machine Vision to Accelerate Bioacoustics Research
Using Machine Vision to Accelerate Bioacoustics Research. -
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10
Spegel
Stateless cluster local OCI registry mirror.
Spegel is a distributed container image registry mirror designed to speed up container image pulls in large-scale Kubernetes clusters. It locally mirrors container images to cluster nodes, reducing latency and bandwidth consumption during container deployments. Spegel integrates natively with containerd and CRI-O, ensuring seamless operation in container runtimes without changing workflows. It’s particularly useful for air-gapped, edge, or resource-constrained environments where access to... -
11
Vitess
Vitess is a database clustering system for horizontal scaling of MySQL
Vitess is a database clustering system for horizontal scaling of MySQL through generalized sharding. By encapsulating shard-routing logic, Vitess allows application code and database queries to remain agnostic to the distribution of data onto multiple shards. With Vitess, you can even split and merge shards as your needs grow, with an atomic cutover step that takes only a few seconds. -
12
KubeKey
Install Kubernetes/K3s only, both Kubernetes/K3s and KubeSphere
KubeKey is an open-source lightweight tool for deploying Kubernetes clusters. It provides a flexible, rapid, and convenient way to install Kubernetes/K3s only, both Kubernetes/K3s and KubeSphere, and related cloud-native add-ons. It is also an efficient tool to scale and upgrade your cluster. In addition, KubeKey also supports a customized Air-Gap package, which is convenient for users to quickly deploy clusters in offline environments. -
13
MatlabMachine
Machine learning algorithms
Matlab-Machine is a comprehensive collection of machine learning algorithms implemented in MATLAB. It includes both basic and advanced techniques for classification, regression, clustering, and dimensionality reduction. Designed for educational and research purposes, the repository provides clear implementations that help users understand core ML concepts. -
14
DevOps Terraform Module
DevOps Terraform Module
This is a Terraform module repository to maintain the version DevOps-related resources to install inside the Kubernetes cluster. Following the resources and provider support in this module in Version 1.0.0. We easily use to “DevOps” module to set resources inside the Kubernetes cluster locally, this cluster is created on a docker container in our local machine. -
15
Genv
GPU environment management and cluster orchestration
Genv is an open-source environment and cluster management system for GPUs. Genv lets you easily control, configure, monitor and enforce the GPU resources that you are using in a GPU machine or cluster. It is intended to ease up the process of GPU allocation for data scientists without code changes. -
16
Kubernetes Dashboard
General-purpose web UI for Kubernetes clusters
Kubernetes Dashboard is a general purpose, web-based UI for Kubernetes clusters. It allows users to manage applications running in the cluster and troubleshoot them, as well as manage the cluster itself. To access Dashboard from your local workstation you must create a secure channel to your Kubernetes cluster. Kubeconfig Authentication method does not support external identity providers or certificate-based authentication. Metrics-Server has to be running in the cluster for the metrics and... -
17
kwatch
Monitor & detect crashes in your Kubernetes(K8s) cluster instantly
Monitor & detect crashes in your Kubernetes(K8s) cluster instantly. kwatch helps you monitor all changes in your Kubernetes(K8s) cluster, detects crashes in your running apps in realtime, and publishes notifications to your favorite channels (Slack, Discord, etc.) instantly. You can deploy kwatch easily on your cluster with one command. -
18
chaoskube
chaoskube periodically kills random pods in your Kubernetes cluster
chaoskube periodically kills random pods in your Kubernetes cluster. Test how your system behaves under arbitrary pod failures. -
19
K9s
Kubernetes CLI To Manage Your Clusters In Style!
K9s is a terminal based UI to interact with your Kubernetes clusters. The aim of this project is to make it easier to navigate, observe and manage your deployed applications in the wild. K9s continually watches Kubernetes for changes and offers subsequent commands to interact with your observed resources. Provides standard cluster management commands such as logs, scaling, port-forwards, restarts. Define your own command shortcuts for quick navigation via command aliases and hotkeys. Plugin... -
20
KubeView
Kubernetes cluster visualiser and graphical explorer
Kubernetes cluster visualizer and visual explorer. KubeView displays what is happening inside a Kubernetes cluster (or single namespace), it maps out the API objects and how they are interconnected. Data is fetched in real-time from the Kubernetes API. The status of some objects (Pods, ReplicaSets, Deployments) is color-coded red/green to represent their status and health. The app auto refreshes and dynamically updates the view as new data comes in or when it changes. -
21
k3s Ansible Playbook
Easiest way to bootstrap a self-hosted High Availability Kubernetes
The easiest way to bootstrap a self-hosted High Availability Kubernetes cluster. A fully automated HA k3s etc. install with kube-vip, MetalLB, and more. This is based on the work from this fork which is based on the work from k3s-io/k3s-ansible. It uses kube-vip to create a load balancer for control plane, and metal-lb for its service LoadBalancer. -
22
Kubent
Easily check your clusters for use of deprecated APIs
Kubernetes 1.16 is slowly starting to roll out, not only across various managed Kubernetes offerings, and with that come to a lot of API deprecations. Kube No Trouble (Kubent) is a simple tool to check whether you're using any of these API versions in your cluster and therefore should upgrade your workloads first, before upgrading your Kubernetes cluster. This tool will be able to detect deprecated APIs depending on how you deploy your resources, as we need the original manifest to be stored... -
23
Corosync Cluster Engine
The Corosync Cluster Engine
...A quorum system that notifies applications when a quorum is achieved or lost. Our project is used as a high-availability framework by projects such as Pacemaker and Asterisk. We are always looking for developers or users interested in clustering or participating in our project. -
24
Seurat
R toolkit for single cell genomics
Seurat is a comprehensive R toolkit for single-cell genomics analysis, introduced by the Satija Lab at NYGC. It supports quality control, normalization, clustering, integration of multimodal data (e.g., scRNA‑seq, spatial, CITE‑seq), and visualization. Seurat v5 introduces scalable workflows and spatial transcriptomics support, commonly used in academic and industry research for single-cell studies. -
25
Sonobuoy
Sonobuoy is a diagnostic tool to understand Kubernetes cluster
Sonobuoy is a diagnostic tool that makes it easier to understand the state of a Kubernetes cluster by running a set of plugins (including Kubernetes conformance tests) in an accessible and non-destructive manner. It is a customizable, extendable, and cluster-agnostic way to generate clear, informative reports about your cluster.
