# polyaxon/polyaxon

AI Infra / AI Orchestration / AI Control Plane

Repository: https://github.com/polyaxon/polyaxon
Canonical: https://ross.abutalabs.com/products/polyaxon
Homepage: https://polyaxon.com
Language: MDX
License: Apache-2.0
License Family: permissive
Topics: deep-learning, machine-learning, artificial-intelligence, data-science, reinforcement-learning, kubernetes, tensorflow, pytorch, keras, k8s, jupyter, notebook, jupyterlab, pipelines, workflow, mlops, hyperparameter-optimization, agents, harness, sandbox
Last push: 2026-08-26T14:17:22+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 3537, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3723, forks 330 (observed 2026-08-28T04:08:15.574149+00:00)

## What it is
Polyaxon is an open-source AI engineering control plane that teams self-host on their own Kubernetes clusters to schedule, track, and govern machine learning workloads such as training jobs, sweeps, DAG pipelines, notebooks, and model serving. It provides experiment tracking, hyperparameter optimization, queue- and preset-based scheduling, RBAC governance, and a CLI/SDK/API client surface, with managed cloud offerings available.

## Use cases
- schedule and track ML training experiments on Kubernetes
- run hyperparameter sweeps and distributed training at scale
- self-host an MLOps platform with experiment tracking and model registry
- turn GPU servers into shared self-service resources for a data science team
- orchestrate DAG pipelines and batch jobs for machine learning
- deploy models and notebooks as services with queues and presets
- track metrics and artifacts from PyTorch, TensorFlow, and Keras training
- govern ML workloads with RBAC, audit logs, and team-level access control

## When to choose
- you need a self-hosted, Kubernetes-native MLOps control plane with full data sovereignty
- your team runs many training jobs and needs scheduling, queues, GPU sharing, and experiment tracking in one place
- you want reproducible ML workflows with Polyaxonfile specs, caching, and lineage
- you need hyperparameter optimization, sweeps, and DAG orchestration integrated with tracking

## When to avoid
- you only need lightweight local experiment tracking without cluster orchestration
- you don't run Kubernetes or can't operate a self-hosted platform
- you want a fully managed turnkey SaaS with zero infrastructure setup
- your use case is simple CI/CD without ML-specific workload management

## Facets
- artifact type: service
- maturity: active
- function: workflow-automation, scheduling, monitoring, machine-learning, llm-training, container-orchestration, deployment, api-framework, cli, sdk
- domain: machine-learning, deep-learning, data-science, cloud-computing, self-hosted
- platform: python, go, self-hosted, cloud, cli
- tags: mlops, experiment-tracking, hyperparameter-tuning, ai-control-plane, gpu-scheduling, model-serving, notebooks, distributed-training, agent-sandboxes, helm, devops, kubernetes, docker, web-server

## Member repositories
- polyaxon/polyaxon (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:15.574149+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 2026-08-29T18:29:18.226840+00:00, confidence not recorded.
  - readme: https://github.com/polyaxon/polyaxon (fetched 2026-08-28T04:08:15.574149+00:00, sha 225c6587ab66)
  - homepage: https://polyaxon.com (fetched 2026-08-29T09:24:37.510800+00:00, sha 1bc11b7971c9)
  - site_page: https://polyaxon.com/docs (fetched 2026-08-29T09:24:37.522261+00:00, sha 121550eb3e70)
  - site_page: https://polyaxon.com/docs/scheduling/overview (fetched 2026-08-29T09:24:37.527991+00:00, sha df3ab9e40e39)
  - site_page: https://polyaxon.com/changelog/v3/v3-0 (fetched 2026-08-29T09:24:37.520142+00:00, sha 82c2f628e863)
  - site_page: https://polyaxon.com/changelog (fetched 2026-08-29T09:24:37.524161+00:00, sha 79937d8f1025)
  - site_page: https://polyaxon.com/pricing (fetched 2026-08-29T09:24:37.526014+00:00, sha f5e4969cce70)
  - site_page: https://polyaxon.com/integrations/tracking/tracking-tensorflow (fetched 2026-08-29T09:24:37.529658+00:00, sha 34190f4cc3a9)
  - site_page: https://polyaxon.com/integrations/tracking/tracking-pytorch (fetched 2026-08-29T09:24:37.531224+00:00, sha 9b0ae7af43d0)
  - site_page: https://polyaxon.com/integrations/tracking/tracking-keras (fetched 2026-08-29T09:24:37.532818+00:00, sha 4dc61ddb8dcc)
- Data as of 2026-08-30T08:39:29.467469+00:00.