Assembly Line

Carbon vs Dassault Systèmes DELMIA Apriso

Carbon and Dassault Systèmes DELMIA Apriso are both manufacturing (mrp/mes) software. Carbon is open source under AGPL-3.0, with 2.8k GitHub stars. Dassault Systèmes DELMIA Apriso is a commercial product from Dassault Systèmes.

Which to pick

Pick Carbon when
You make complex assemblies or high-mix, low-volume parts and want ERP, MES and quality in one system you can self-host or buy as Carbon Cloud.
Pick Dassault Systèmes DELMIA Apriso when
A multinational manufacturer wants a standard MES rolled out across many plants, often alongside 3DEXPERIENCE.

Side by side

What it does

A manufacturing system that keeps quoting, orders, purchasing, inventory, MRP planning with finite-capacity scheduling, shop-floor travelers and labour capture, quality records and lot and serial traceability in one Postgres database.

Manufacturing operations software covering MES, quality, warehouse and maintenance across global plants, from Dassault Systèmes.

Watch out

It is open core: the enterprise files, API keys and the MCP server need a paid plan or, when self-hosted, a commercial licence.

Enterprise cost and long rollouts.

Ready for

Usable

Production-ready

Runs as

Self-hosted server and cloud service (both)

Built with

TypeScript, React, PostgreSQL and Rust

Not published

Source code

Open source, AGPL-3.0 (network copyleft)

Closed source, sold by Dassault Systèmes

What the license allows

Use inside your business is unrestricted. If you change it and let customers use it over the internet, you must publish your changes.

Closed source: you use it under the maker's terms and cannot change or resell the code.

How widely known

2.8k GitHub stars

No Wikipedia article of its own

How established

Established: started 2 years ago, no tagged release yet.

Not known

Other comparisons

More manufacturing (MRP and MES) systems

Every manufacturing (mrp/mes) product and project, ranked

Both sides were judged on 2026-11-06 from makers' descriptions, Wikipedia, READMEs and GitHub data. License, age and popularity lines are worked out directly.