determined
An open-source machine learning platform for distributed training and resource management.
GraphCanon updated 2w · GitHub synced 2w
Decision brief
Determined is an open-source machine learning platform that simplifies distributed training and hyperparameter tuning for PyTorch and TensorFlow applications.
Good fit when
- You require a streamlined solution for distributed model training, particularly if you are working with PyTorch or TensorFlow frameworks.
- Need advanced features for hyperparameter tuning and experiment tracking within your ML workflow.
Avoid when
- Seeking a platform that supports more machine learning frameworks beyond PyTorch and TensorFlow.
- Your current stack does not include any of the supported infrastructures like Kubernetes or cloud services where Determined can be deployed.
- Pricing:
- freemium - The open-source version under Apache License is free to use. Additional enterprise features may incur costs, though specific pricing details are not provided here.
- Requirements:
- Installation involves using 'pip' for the CLI and subsequent cluster deployment steps via `det deploy`.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (501d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- 39 low (39 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/determined-ai/determined pkg.go.devSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Determined is an ML platform that streamlines distributed model training, includes hyperparameter tuning components, supports PyTorch and TensorFlow integration, and provides tools for experiment tracking and resource administration via CLI or deployment on Kubernetes, AWS, GCP, Slurm, or PBS.
Capability facts
- Languages
- go, python
Source: github.language+pyproject.toml · Aug 4, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Installation
To install the CLI:
pip install determined
Then use det deploy to start the Determined cluster locally, or on cloud services like AWS and GCP.
For installation details, visit the the cluster deployment guide for your environment:
For agents
This page has a .md twin and JSON over the API.