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dpe

v2.0.1

Published

Data Processing Engine -- high-throughput streaming pipeline runner

Readme

dpe

High-throughput streaming pipeline runner. Spawns tools (Rust, Python, Bun) as child processes, routes NDJSON envelopes between them over OS pipes, and coordinates the whole pipeline from a declarative YAML graph.

Install

npm install -g dpe

Bundles 7 standard tools (scan-fs, read-file-stream, write-file-stream, write-file-stream-hashed, normalize, gate, checkpoint). The right native binary for your OS + CPU is selected automatically via optionalDependencies.

Other install paths:

docker pull ghcr.io/combycode/dpe-base:latest      # ready-to-run runtime image
docker pull ghcr.io/combycode/dpe-dev:latest       # adds Rust toolchain + Claude CLI for in-container tool authoring

Quick start

dpe init my-pipeline
cd my-pipeline
dpe run .:main -i data/input -o data/output

Commands

| Command | Purpose | |---|---| | dpe init <name> | scaffold a new pipeline directory | | dpe run <pipeline>:<variant> | execute a pipeline variant | | dpe check <pipeline>:<variant> | parse + validate without running | | dpe tools list | show installed tools and their resolution paths | | dpe install <name> | install a custom tool from the registered catalog | | dpe status <session> | live status of a running session | | dpe progress <session> | gate progress + roll-up totals | | dpe stop <session> | request a graceful stop | | dpe logs <session> | tail session log (-f to follow) | | dpe monitor <session> | TUI dashboard | | dpe journal <session> | rebuild journal after abnormal termination | | dpe config | show / edit ~/.dpe/config.toml |

dpe --help for full reference.

Documentation

Full docs at https://github.com/combycode/dpe — concepts, CLI reference, tool authoring, framework SDKs, expressions, sessions, Docker images.

License

AGPL-3.0-or-later. Commercial licensing available — contact CombyCode.