Skip to main content

DigitalHub SDK Runtime ModelServe

license GitHub Release Status

The Digitalhub SDK Runtime ModelServe is a runtime extension for the Digitalhub SDK. It enables you to deploy ML/DL model as-a-service in the Digitalhub platform.

Explore the full documentation at the link.

Quick start

To install the Digitalhub SDK Runtime ModelServe, you can use pip:

pip install digitalhub-sdk-runtime-modelserve

Development

See CONTRIBUTING for contribution instructions.

Security Policy

The current release is the supported version. Security fixes are released together with all other fixes in each new release.

If you discover a security vulnerability in this project, please do not open a public issue.

Instead, report it privately by emailing us at digitalhub@fbk.eu. Include as much detail as possible to help us understand and address the issue quickly and responsibly.

Contributing

To report a bug or request a feature, please first check the existing issues to avoid duplicates. If none exist, open a new issue with a clear title and a detailed description, including any steps to reproduce if it's a bug.

To contribute code, start by forking the repository. Clone your fork locally and create a new branch for your changes. Make sure your commits follow the Conventional Commits v1.0 specification to keep history readable and consistent.

Once your changes are ready, push your branch to your fork and open a pull request against the main branch. Be sure to include a summary of what you changed and why. If your pull request addresses an issue, mention it in the description (e.g., “Closes #123”).

Please note that new contributors may be asked to sign a Contributor License Agreement (CLA) before their pull requests can be merged. This helps us ensure compliance with open source licensing standards.

We appreciate contributions and help in improving the project!

Authors

This project is developed and maintained by DSLab – Fondazione Bruno Kessler, with contributions from the open source community. A complete list of contributors is available in the project’s commit history and pull requests.

For questions or inquiries, please contact: digitalhub@fbk.eu

Copyright © 2025 DSLab – Fondazione Bruno Kessler and individual contributors.

This project is licensed under the Apache License, Version 2.0. You may not use this file except in compliance with the License. Ownership of contributions remains with the original authors and is governed by the terms of the Apache 2.0 License, including the requirement to grant a license to the project.

Metadata

Release files for digitalhub-runtime-modelserve 0.15.0

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

Source distribution (sdist)

Source distribution for digitalhub-runtime-modelserve 0.15.0
File Size Uploaded
digitalhub_runtime_modelserve-0.15.0.tar.gz 43.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for digitalhub-runtime-modelserve 0.15.0
File Interpreter ABI Platform
digitalhub_runtime_modelserve-0.15.0-py3-none-any.whl Python 3 none any Details

Total release size: 162.3 kB

Release files / digitalhub_runtime_modelserve-0.15.0.tar.gz

Download URL digitalhub_runtime_modelserve-0.15.0.tar.gz
Size 43.6 kB
Tags Source
SHA-256 checksum
How to use checksums
dae550cbb49e15c8a17d9d7ad499696fe8c8582d188610542210f45bae69f7de
BLAKE2b-256 checksum
How to use checksums
1975e1120a437ecd6a37f19b60a0670f7fa3e0da7fe3cd95b77267a160b8b452
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.12

Release files / digitalhub_runtime_modelserve-0.15.0-py3-none-any.whl

Download URL digitalhub_runtime_modelserve-0.15.0-py3-none-any.whl
Size 118.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e315bf6c8cd012429202466765c664838d3a6fbf389e60fb817780d084539447
BLAKE2b-256 checksum
How to use checksums
9157deafd70f691e936b8e973a6623a45049945572dc462b9615be87d092b91a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.12

Release history Release notifications | RSS feed

This release

0.15.0 This release

2 release files

0.14.7

2 release files

0.14.2

2 release files

0.14.1

2 release files

0.14.0

2 release files

0.13.0

2 release files

0.12.0

2 release files

0.10.1

2 release files

0.10.0

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.1

2 release files

0.8.0

2 release files

0.7.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page