AI4CPS OSS

SelfX is a Python framework for building ML & AI apps in the domain of Cyber-Physical Systems (CPSs).

Built on top of Dash, SelfX allows simple implementation of AI tools for CPSs. Read our tutorial.

This software is developed at Helmut Schmidt University / University of Federal Armed Forces Hamburg at the Professorship of Computer Science in Mechanical Engineering at the Institute of Automation Technology.

SelfX App Examples

To be added.

Styling Overrides

SelfX loads override stylesheets after its default dashboard assets. Apps can append project CSS with css_overrides when creating SelfXDash:

selfx = dashboard.SelfXDash(
    css_overrides=["assets/selfx_overrides.css"],
)

Local CSS files are served by SelfX, and external CSS URLs can also be passed. For small changes, pass raw CSS directly:

selfx = dashboard.SelfXDash(
    css_overrides=[":root { --selfx-sidebar-width: 19rem; }"],
)

AI4CPS OSS & SelfX Enterprise

Category	Feature	SelfX OOS (Open Source)	SelfX Enterprise
Core Platform	Core SelfX Platform	✅	✅
	Workflow Engine	✅	✅
	API Access	Basic	Extended
	Plugin / Extension Support	Limited	Full
	LLM Integration	Limited	Full
AI Capabilities	Basic AI tools	✅	✅
	Dayly and Monthly Reports	❌	✅
Security & Access Control	User Authentication	Basic	Advanced
	Role-Based Access Control (RBAC)	Limited	✅
	Single Sign-On (SSO)	❌	✅
Scalability & Reliability	Horizontal Scaling	❌	✅
	High Availability / Clustering	❌	✅
	Multi-Tenant Support	❌	✅
Integrations	Standard Integrations	Limited	Extended
	Enterprise Integrations	❌	✅
	Custom Connectors	Limited	✅
Observability	Basic Logging	✅	✅
	Metrics & Monitoring	Basic	Advanced
	Alerting	❌	✅
Operations	Deployment	Self-hosted	Self-hosted / Enterprise
	Backup & Recovery Tools	❌	✅
	Performance Optimization	❌	✅
Support & Licensing	License	Open Source	Commercial
	Documentation	✅	✅
	Support	Community	Priority / SLA
	Professional Services	❌	Available

LLMs can be used to easily create features

See https://ai4cps.com to get in touch.

Install ai4cps and import from ai4cps, for example from ai4cps.dash.dashboard import SelfXDash. The deprecated selfx distribution provides compatibility for legacy selfx imports.

Metadata

Release files for ai4cps 0.1.42

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ai4cps 0.1.42
File	Size	Uploaded
ai4cps-0.1.42.tar.gz	51.0 kB	Sep 24, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for ai4cps 0.1.42
File	Interpreter	ABI	Platform	Reset
ai4cps-0.1.42-py3-none-any.whl 54.2 kB Sep 24, 2026	Python 3	none	any	Details

Total release size: 105.2 kB

Release files / ai4cps-0.1.42.tar.gz

Download URL	ai4cps-0.1.42.tar.gz
Size	51.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`f9fa05facd52524f1db52fff4617e49a19b5eea51c54c1fb50fec0f6a34482fc`
BLAKE2b-256 checksum How to use checksums	`3047f2bc502e18309e24fbc9c4543cb54ea483ccd8251d710de4cd166b973bfd`
Upload date	Sep 24, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ai4cps-com/ai4cps-oss
Publishing commit: github.com/ai4cps-com/ai4cps-oss/tree/891691874fd2a4aefb44df83489fc0cf085a3865

Workflow

Publishing configuration: github.com/ai4cps-com/ai4cps-oss/blob/891691874fd2a4aefb44df83489fc0cf085a3865/.github/workflows/publish.yml
Publishing logs: github.com/ai4cps-com/ai4cps-oss/actions/runs/35976827666/attempts/1

Artifact

Subject: ai4cps-0.1.42.tar.gz
SHA-256 checksum: f9fa05facd52524f1db52fff4617e49a19b5eea51c54c1fb50fec0f6a34482fc Verifying attestations

Release files / ai4cps-0.1.42-py3-none-any.whl

Download URL	ai4cps-0.1.42-py3-none-any.whl
Size	54.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`d427f412a555fdafe1ac8fd846dae4d376056f44e93d9262333f80a0f93fba60`
BLAKE2b-256 checksum How to use checksums	`234b181cd9e536d255078b9099c29fadbaf7d79737912915a7015dc7abff321d`
Upload date	Sep 24, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ai4cps-com/ai4cps-oss
Publishing commit: github.com/ai4cps-com/ai4cps-oss/tree/891691874fd2a4aefb44df83489fc0cf085a3865

Workflow

Publishing configuration: github.com/ai4cps-com/ai4cps-oss/blob/891691874fd2a4aefb44df83489fc0cf085a3865/.github/workflows/publish.yml
Publishing logs: github.com/ai4cps-com/ai4cps-oss/actions/runs/35976827666/attempts/1

Artifact

Subject: ai4cps-0.1.42-py3-none-any.whl
SHA-256 checksum: d427f412a555fdafe1ac8fd846dae4d376056f44e93d9262333f80a0f93fba60 Verifying attestations