Apache Mahout alternatives

A C++ machine learning library offering a wide range of algorithms and tools for researchers and developers, with focus on scalability, speed, and ease of use

A python deep learning library based on Torch for building and training neural networks, used for applications in computer vision, natural language processing, and other areas

A software framework for distributed storage that facilitates using a network of many computers to solve problems involving massive amounts of data and computation using MapReduce programming model

A distributed processing system utilized for big data workloads, supporting batch processing, stream processing and machine learning, with in-memory caching and optimized query execution for large datasets

A machine learning system for the end-to-end data science lifecycle, encompassing data integration, cleaning, feature engineering, efficient model training, and deployment.

A distributed, deep learning library for Java virtual machine (JVM)

A SciPy based Python library for machine learning tasks like classification, regression, and clustering

A library for numerical computation using data flow graphs, enabling the creation and deployment of machine learning models

A framework for building deep learning models using computational graphs

A machine learning library and scientific computing framework for LuaJIT

A collection of machine learning algorithms and data analysis tools for data preprocessing, modeling, and visualization

A library for data mining, machine learning, soft computing, and mathematical analysis

A comprehensive library for real-time computer vision tasks like object detection and image analysis

A component-based visual programming software package for data visualization, machine learning, data mining, and data analysis

A Java-based toolkit for machine learning applications on text

A framework for data stream mining including machine learning algorithms such as classification, regression, clustering, outlier detection, concept drift detection and recommender systems and tools for evaluation

A deep learning software framework, used to train, and deploy deep neural networks

A service registry enabling microservices to register dynamically, discover peers, handle failovers, and communicate without hardcoded hostnames and ports

Provides real-time cost visibility and insights for teams using Kubernetes, helping to continuously reduce cloud costs

A platform enabling infrastructure as code using familiar programming languages to build, deploy, and manage cloud infrastructure

Provides cost estimates for cloud infrastructure changes before deployment, integrates with engineering workflows, and enforces FinOps best practices

An infrastructure as code tool that enables the definition, provisioning, and management of cloud and on-premises resources using configuration files

Backup and restore Kubernetes resources and persistent volumes, perform disaster recovery, and migrate cluster resources across environments