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Apache NetBeans is a developer resource for coding, documentation, communities, security research, or software tools.

A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.

Apache is a developer resource for coding, documentation, communities, security research, or software tools.

Apache Guacamole is a Linux, macOS, BSD, or Unix resource for tools, documentation, communities, or system workflows.

Apache Hama is an Apache Top-Level open source project, allowing you to do advanced analytics beyond MapReduce.

Apache Atlas – Data Governance and Metadata framework for Hadoop.

Apache cTAKES provides machine-learning models, research, training resources, or evaluation tools.

A distributed machine learning framework Apache Spark.

Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.

Platform to programmatically author, schedule, and monitor workflows.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.

Enables data-driven, interactive data analytics and collaborative documents.

Framework for orchestrating teams of specialized AI agents. Role-based agents collaborate on complex tasks. $20M+ in VC funding. Apache-2.0.

Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.

A Clojure dataframe library that runs on Apache Spark.

Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

HyperFrames lets AI agents compose videos by writing HTML, CSS & JS — originated by HeyGen, built for the community. Open source under Apache 2.0.

Open-source agent skill and npm CLI for daily-updated arXiv, PubMed/PMC, and US policy retrieval with deterministic freshness cutoffs. Apache-2.0.

Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.

Apache OpenNLP is a machine learning based toolkit for the processing of natural language text.

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.