SelfX 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; }"],
)

SelfX 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.

Metadata

Release files for selfx 0.1.36

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

Source distribution (sdist)

Source distribution for selfx 0.1.36
File	Size	Uploaded
selfx-0.1.36.tar.gz	45.2 kB	Sep 12, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for selfx 0.1.36
File	Interpreter	ABI	Platform	Reset
selfx-0.1.36-py3-none-any.whl 44.2 kB Sep 12, 2026	Python 3	none	any	Details

Total release size: 89.4 kB

Release files / selfx-0.1.36.tar.gz

Download URL	selfx-0.1.36.tar.gz
Size	45.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`398beeb585d7e12caf07a63ea811e6110cdb48a2d28dee6c37eda4e7fc011893`
BLAKE2b-256 checksum How to use checksums	`f178f2680868cca1f9cfdb8bc0020baadc128a5adcf068b116f5838f1ee4d20e`
Upload date	Sep 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ai4cps-com/selfx-oss
Publishing commit: github.com/ai4cps-com/selfx-oss/tree/3b2d8f6d4a1899738ec715935299130496db8946

Workflow

Publishing configuration: github.com/ai4cps-com/selfx-oss/blob/3b2d8f6d4a1899738ec715935299130496db8946/.github/workflows/publish.yml
Publishing logs: github.com/ai4cps-com/selfx-oss/actions/runs/34689727429/attempts/1

Artifact

Subject: selfx-0.1.36.tar.gz
SHA-256 checksum: 398beeb585d7e12caf07a63ea811e6110cdb48a2d28dee6c37eda4e7fc011893 Verifying attestations

Release files / selfx-0.1.36-py3-none-any.whl

Download URL	selfx-0.1.36-py3-none-any.whl
Size	44.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f05335d026aa8bc0d796d4889329df3ed870142fa9f57c4a96d2126a364db6df`
BLAKE2b-256 checksum How to use checksums	`7c90626a7864990c96dd9d3dfe54ced43d8e9b55c9c708024b6034ee4e69660d`
Upload date	Sep 12, 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/selfx-oss
Publishing commit: github.com/ai4cps-com/selfx-oss/tree/3b2d8f6d4a1899738ec715935299130496db8946

Workflow

Publishing configuration: github.com/ai4cps-com/selfx-oss/blob/3b2d8f6d4a1899738ec715935299130496db8946/.github/workflows/publish.yml
Publishing logs: github.com/ai4cps-com/selfx-oss/actions/runs/34689727429/attempts/1

Artifact

Subject: selfx-0.1.36-py3-none-any.whl
SHA-256 checksum: f05335d026aa8bc0d796d4889329df3ed870142fa9f57c4a96d2126a364db6df Verifying attestations