Showing 36 of 45 projects
A distributed event streaming platform for building high-performance data pipelines, streaming analytics, and data integration.
A scalable, portable, and distributed gradient boosting library for efficient machine learning across multiple languages and platforms.
A forever free, adless, and open-source chess server focused on realtime gameplay and ease of use.
A platform for building highly responsive, resilient, and scalable distributed systems using the actor model.
A high-velocity web framework for building scalable applications with Java and Scala.
An open source machine learning server for developers and data scientists, supporting event collection, algorithm deployment, and REST API queries.
A faster, simpler alternative to git-filter-branch for removing large files and sensitive data from Git repositories.
A web-based tool for managing Apache Kafka clusters, enabling cluster inspection, topic management, and partition operations.
A community-driven curated list of useful Scala libraries, frameworks, and software.
An open-source load testing platform for modern performance engineering with code-first test definition and asynchronous architecture.
A command-line tool for managing parallel versions of multiple software development kits on Unix-based systems.
A fast and comprehensive machine learning framework for Java, Scala, and Kotlin with state-of-the-art algorithms and data visualization.
A configuration library for JVM languages using HOCON files, supporting JSON, properties, and environment variable substitution.
A lightweight, modular, and extensible library for functional programming in Scala.
An open-source library for building massively scalable machine learning pipelines on Apache Spark.
A machine learning library designed for human interpretability, featuring debuggable models and a feature transform language.
A Scala library providing principled functional programming abstractions, including type classes and purely functional data structures.
Enables distributed TensorFlow training and inferencing on Apache Spark and Hadoop clusters with minimal code changes.
A scalable build system for monorepos with support for multiple programming languages and frameworks.
A library built on Apache Spark for defining unit tests to measure data quality in large datasets.
A curated collection of articles, videos, books, and libraries about functional programming across multiple languages.
A Scala API for Cascading that simplifies writing Hadoop MapReduce jobs with Scala integration.
A numerical processing library for Scala, providing generic, clean, and powerful linear algebra and scientific computing capabilities.
A type class and dependent type based generic programming library for Scala, enabling boilerplate reduction and arity abstraction.
An in-memory message queue system with an Amazon SQS-compatible interface, designed for testing and local development.
A RESTful job server for Apache Spark that provides a service interface for submitting and managing Spark jobs, jars, and contexts.
A collection of idiomatic, small, general-purpose Scala utilities for time, futures, pooling, and hashing.
Official MongoDB drivers for Java, Kotlin, and Scala applications to interact with MongoDB databases.
Official MongoDB drivers for Java, Kotlin, and Scala applications to connect and interact with MongoDB databases.
A Scala API for Apache Beam and Google Cloud Dataflow, enabling unified batch and streaming data processing.
A JSON library for Scala and Scala.js with a focus on functional programming and type safety.
A purely functional, effectful, and polymorphic stream processing library for Scala built on Cats and Cats-Effect.
A cluster computing framework for processing large-scale geospatial data within Apache Spark, Flink, and other big data systems.
A Scala library providing abstract algebra types and structures for building aggregation systems and analytics.
A pure Scala library for fetching and managing artifacts and applications, serving as a dependency resolver and launcher.
A Scala library that simplifies Android development with concise DSLs, eliminating boilerplate while maintaining type safety.
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