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MDX Apache-2.0Created Dec 26, 2016
Trust & integrity
Full report- Maintenance
- Active (7d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Organization account
- As of today · Source: github_public_v1
- Security (OSV)
- No lockfile
- As of today · Source: none
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
AI Infra / AI Orchestration / AI Control Plane
Capability facts
- Languages
- mdx
Source: github.language · Jul 12, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Python runtimePython
Source: README excerpt (regex_v1, Jul 11, 2026)
$ pip install -U polyaxonSource link
Tags
README
Install
TL;DR;
-
Install CLI
# Install Polyaxon CLI $ pip install -U polyaxon -
Create a deployment
# Create a namespace $ kubectl create namespace polyaxon # Add Polyaxon charts repo $ helm repo add polyaxon https://charts.polyaxon.com # Deploy Polyaxon $ polyaxon admin deploy -f config.yaml # Access API $ polyaxon port-forward
Please check polyaxon installation guide
Quick start
TL;DR;
-
Start a project
# Create a project $ polyaxon project create --name=quick-start --description='Polyaxon quick start.' -
Train and track logs & resources
# Upload code and start experiments $ polyaxon run -f experiment.yaml -u -l -
Dashboard
# Start Polyaxon dashboard $ polyaxon dashboard Dashboard page will now open in your browser. Continue? [Y/n]: y
- Notebook
# Start Jupyter notebook for your project $ polyaxon run --hub notebook
- Tensorboard
# Start TensorBoard for a run's output $ polyaxon run --hub tensorboard -P uuid=UUID
Please check our quick start guide to start training your first experiment.