determined
An open-source machine learning platform for distributed training and resource management.
GraphCanon updated Sep 30, 2026 · GitHub synced Sep 30, 2026
30views this month
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
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (558d since push)
- As of Sep 30, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 30, 2026
- Security (OSV)
- 39 low (39 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/determined-ai/determinedSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
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 · Sep 30, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 30, 2026)
pip install determinedSource link
Tags
README
Installation To install the CLI: Then use 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: Local (on prem) AWS GCP Kubernetes Slurm/PBS
For agents
This page has a .md twin and JSON over the API.