JupyterHub Usage Quotas
This library implements compute usage quotas for Jupyter servers at server startup-time to manage resource consumption across shared infrastructure managed by Zero to JupyterHub with Kubernetes deployments.
Features
- Metric based accounting for compute usage with Prometheus
- Flexible and declarative usage policies, such as quota sizes and quota time windows
- Quota enforcement at server startup-time
- User-facing usage and quota dashboard
Installation
The PyPI package can be installed with
pip install jupyterhub-usage-quotas
For local development, see the development guide
Documentation
Documentation can be found at https://jupyterhub-usage-quotas.readthedocs.io/en/latest/
Contributing
See the guidance in CONTRIBUTING
License
This project is licensed under the BSD 3-Clause License.
1 maintainer
Metadata
1 maintainer
Release files for jupyterhub-usage-quotas 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| jupyterhub_usage_quotas-0.2.1.tar.gz | 35.5 kB | With provenance | Details for jupyterhub_usage_quotas-0.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| jupyterhub_usage_quotas-0.2.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for jupyterhub_usage_quotas-0.2.1-py2.py3-none-any.whl |
Total release size: 66.0 kB
Release files / jupyterhub_usage_quotas-0.2.1.tar.gz
| Download URL | jupyterhub_usage_quotas-0.2.1.tar.gz |
|---|---|
| Size | 35.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
eab70c92c4a9baa411656550d4afe1840e02d40e6cdcc573ae87b838106beee3
|
|
BLAKE2b-256 checksum How to use checksums |
84a22bde40175a82ccf7b2830eda3862a521301bb55f2f2c4d678658c8330a4f
|
| Upload date | |
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 15, 2026.
Transparency logRelease files / jupyterhub_usage_quotas-0.2.1-py2.py3-none-any.whl
| Download URL | jupyterhub_usage_quotas-0.2.1-py2.py3-none-any.whl |
|---|---|
| Size | 30.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
c5882647895fd4fcdfb3c71aa154063a84d5b6a007657474a68acb173ebed69c
|
|
BLAKE2b-256 checksum How to use checksums |
b25728f0a04ce0cd7a69185fafa13226adb401a27a4bac33450a0069e8a1dce2
|
| Upload date | |
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 15, 2026.
Transparency logSecurity for jupyterhub-usage-quotas 0.2.1
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for jupyterhub_usage_quotas-0.2.1.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 15, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
