# awslabs/sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Repository: https://github.com/awslabs/sockeye
Canonical: https://ross.abutalabs.com/products/sockeye
Homepage: https://awslabs.github.io/sockeye/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: deep-learning, deep-neural-networks, machine-learning, machine-translation, neural-machine-translation, encoder-decoder, attention-mechanism, sequence-to-sequence, sequence-to-sequence-models, sockeye, attention-is-all-you-need, attention-model, seq2seq, translation, transformer-architecture, transformer, transformer-network, pytorch
Last push: 2024-10-24T08:18:17+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3373, "days_push": 678, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1215, forks 320 (observed 2026-08-28T04:04:01.054420+00:00)

## What it is
Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch, with distributed training and optimized inference. It powers Amazon Translate and is now in maintenance mode with no new features.

## Use cases
- train a neural machine translation model on parallel corpora
- train a transformer seq2seq model with PyTorch
- run optimized inference for translation models
- fine-tune an encoder-decoder model for sequence transduction
- convert old MXNet Sockeye models to PyTorch
- score translations with a trained NMT model

## When to choose
- you need a proven, production-grade NMT training and inference toolkit
- you want transformer-based seq2seq training with distributed support
- you need to run inference with existing Sockeye models

## When to avoid
- you need actively developed features or new model architectures
- you want a general-purpose LLM or chat model framework
- you need long-term support for new PyTorch versions

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, llm-training
- domain: machine-learning, deep-learning
- platform: python, cross-platform
- tags: neural-machine-translation, seq2seq, transformer, pytorch, encoder-decoder, natural-language-processing, gpu, linux

## Member repositories
- awslabs/sockeye (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:01.054420+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:17:14.564863+00:00, confidence not recorded.
  - readme: https://github.com/awslabs/sockeye (fetched 2026-08-28T04:04:01.054420+00:00, sha c88e3f86f02e)
  - homepage: https://awslabs.github.io/sockeye/ (fetched 2026-08-29T12:25:18.992150+00:00, sha 4b69bf6900b6)
  - registry_pypi: https://pypi.org/pypi/sockeye/json (fetched 2026-08-29T12:25:19.001319+00:00, sha 7b797af91de1)
- Data as of 2026-08-30T08:39:29.467469+00:00.