DJL is a Java framework for running deep learning models across different engines.
DeepDetect
DeepDetect provides a deep learning server and command-line interface for Torch and TensorRT.

About DeepDetect
DeepDetect is a deep learning runtime, command-line tool, and REST server for training and inference with Torch and TensorRT. The Python wheel embeds the runtime and provides the deepdetect CLI, while the server supports long-running REST services and containerized serving. It handles images, text, CSV/tabular data, time series, sparse data, detection boxes, and segmentation masks through a single API surface. Workflows use YAML config files and CLI profiles such as YOLOX and SegFormer. The CPU and GPU wheels are mutually exclusive, and default configs require dataset, weight, and repository paths to be replaced before real use.
Key features
- Train models and run inference via CLI or REST API
- Create model services and monitor training jobs
- Organize model repositories on the filesystem
- Handle images, text, CSV, time series and segmentation masks
- Provide CLI profiles for YOLOX detection and SegFormer segmentation
- Use YAML config files to make training and inference repeatable
- Single API surface for multiple data types
- Offers both embedded Python wheel and long-running REST server
- YAML configs and CLI profiles support repeatable runs
- CPU and GPU wheels cannot be used in the same environment
- Default example configs require path replacement before real use
DeepDetect at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
DeepDetect alternatives
Tools and sites you could use instead, ranked by how closely they match.
Apache SINGA supports distributed deep learning through a system and library for model training.
Train and run models with OneFlow, a scalable deep learning framework for distributed machine learning workloads.
ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Cog packages machine learning models into containers to support deployment across environments.
The Hydrosphere repository describes an MLOps platform for machine learning operations.
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DeepDetect FAQ
How do I install DeepDetect?
Can the CPU and GPU packages be installed together?
What CLI profiles are included first?
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