apache/mahout

Health v2 · maintenance only

Adoption not part of the score

2310 stars · 1002 forks observed · 2026-10-15

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Apache Mahout is an Apache Software Foundation project providing Qumat, a high-level Python library for quantum computing with a unified API over Qiskit, Cirq, and Amazon Braket backends. It also includes QDP (Quantum Data Plane), a GPU-accelerated (CUDA/Rust) component for encoding classical data into quantum states with zero-copy tensor transfer via DLPack.

Use cases

• build quantum circuits that run on qiskit, cirq, or amazon braket with one api
• simulate quantum algorithms like grover or deutsch-jozsa in python
• encode classical data into quantum states on gpu for quantum machine learning
• move tensors between pytorch, numpy, and tensorflow without copying
• learn quantum computing with a python primer and notebooks
• run parameterized quantum circuits on simulators or real quantum hardware

When to choose

• you want a backend-agnostic quantum circuit API so you can switch between Qiskit, Cirq, and Braket
• you need GPU-accelerated data encoding for quantum ML pipelines with zero-copy tensor exchange
• you prefer an Apache-licensed library with active community and monthly releases

When to avoid

• you need mature classical ML algorithms like the old Mahout recommender/clustering stack, which is no longer the focus
• you require a production-hardened quantum SDK with extensive algorithm coverage beyond basic gates
• you don't have an NVIDIA GPU and need QDP's accelerated data encoding

Facets

library · maturity active

machine-learning sdk gpu-computing simulation quantum-computing machine-learning artificial-intelligence python cross-platform quantum-computing quantum-circuits quantum-machine-learning qiskit cirq amazon-braket cuda dlpack rust-kernels gpu

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