JFrog ML vs Polyaxon
JFrog ML
jfrog.com
Polyaxon
polyaxon.comSide by side
| Figure | JFrog ML | Polyaxon |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Model Registry Software | 7.9 (#7) | 7.3 (#17) |
| Spec score · Model registries | 7.8 (#16) | 7.6 (#18) |
| Deployment | Models can be served as API endpoints, used for batch inference, and A/B tested. | Polyaxon offers a managed cloud service and self-hosted deployments, including Community and Enterprise editions. |
| Integrations | JFrog's integration catalog includes Hugging Face, NVIDIA, Amazon SageMaker, and Azure Machine Learning integrations. | The site lists integrations including PyTorch, TensorFlow, Hugging Face, LangChain, Ray, Dask, Spark, AWS, GCP, Azure, GitHub, GitLab, Slack, and Datadog. |
| Purpose | JFrog ML is a unified platform for building, deploying, and monitoring machine learning models in production. | Polyaxon is an AI engineering control plane for running machine learning, training, inference, and agent workloads on Kubernetes. |
Plans
In their own words
Polyaxon
Polyaxon is an AI engineering control plane for machine-learning training, inference and agent workloads on Kubernetes. It records run parameters, metrics, logs, code versions, artifacts, lineage and runtime state. Orchestration covers jobs, services, DAGs, schedules, sweeps, distributed workloads and reusable components. Isolated execution environments can be launched with controlled filesystems, network access, tools, SSH and runtime policies. Evaluation and monitoring include offline and online evaluations, logs, traces, metrics, health checks, alerts and dashboards. Listed integrations include PyTorch, TensorFlow, Hugging Face, LangChain, Ray, Dask, Spark, AWS, GCP, Azure, GitHub, GitLab, Slack and Datadog. Deployment is available through managed cloud or self-hosted Community and Enterprise editions. The core is Apache 2.0 licensed. A free Community Edition covers one cluster and namespace; paid access starts at $555/mo.