epik8s-tools
A set of tools for generating Kubernetes Helm charts for EPICS-based systems.
Decision gist · record as of 2026-08-14
Yes, if you are deploying EPICS applications to Kubernetes and want to reduce boilerplate for Helm charts and OPI panels. The package is actively maintained, has low install friction, and carries no known vulnerabilities. It is purpose-built for a specific domain (EPICS/Kubernetes); outside that context it has no utility. The permissive MIT license poses no restriction.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Intended for EPICS/Kubernetes environments; limited utility outside that domain.
- Low friction: pure Python wheel with four runtime dependencies (pyyaml, Jinja2, phoebusgen, jnjrender).
License · maintenance · safety
permissive license (permissive) — MIT license (permissive). You can use, modify, and distribute this package freely with minimal restrictions, provided you retain the license notice.
last release 2026-04-14 (122 days) · last repo commit 2026-04-14
0 known vulnerabilities (OSV.dev, 2026-08-14) · 126,576 downloads/mo, #11,773 on PyPI
Alternatives
Verify before relying
pip install epik8s-tools
epik8s-tools my_project --beamline MyBeamline --iocbaseip 10.96.0.0/12 --beamlinerepogit https://github.com/beamline/repo.git- Whether phoebusgen and jnjrender are widely available or niche dependencies that may complicate installation.
- Whether the package works with Kubernetes distributions other than microk8s, or if microk8s is a practical requirement.
- Real-world deployment success rate and community adoption beyond the INFN/EPICS research community.
What it is and what it does
epik8s-tools is a Python CLI toolset for automating the deployment of EPICS (Experimental Physics and Industrial Control System) applications to Kubernetes. It reads YAML beamline configurations and generates Helm charts, OPI (Operator Interface) panels for Phoebus, and project directory structures, eliminating manual boilerplate for complex control-system deployments. The package wraps template rendering (Jinja2, pyyaml) and integrates with phoebusgen and jnjrender to produce ready-to-deploy Kubernetes manifests and operator dashboards.
The toolset includes multiple CLI entry points: epik8s-tools for project generation, epik8s-opigen for OPI panel creation, epik8s-run for IOC execution, and epik8s-compose for Docker Compose single-node setups. It supports extensive configuration options for networking (CA/PVA gateway IPs, ingress classes), storage (NFS paths), and external services (ElasticSearch, MongoDB, Kafka). Operators can generate detailed per-IOC dashboards with live PV monitoring or simpler beamline-level launchers with embedded device controls.
Use it for
- Generate standardized Kubernetes deployment manifests for a new EPICS beamline without manual Helm chart editing.
- Create OPI control panels automatically from beamline YAML, replacing manual Phoebus screen design.
- Set up a single-node Kubernetes cluster with Docker Compose for development or testing of EPICS IOC configurations.
- Configure gateway load balancers, NFS mounts, and ingress routing for multi-IOC beamline deployments.
- Generate per-IOC monitoring dashboards with live PV readback and setpoint widgets from runtime PV lists.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are deploying EPICS applications to Kubernetes and want to reduce boilerplate for Helm charts and OPI panels.
The package is actively maintained, has low install friction, and carries no known vulnerabilities. It is purpose-built for a specific domain (EPICS/Kubernetes); outside that context it has no utility. The permissive MIT license poses no restriction.
Install
epik8s-tools on PyPI
Before you install
Low friction: pure Python wheel with four runtime dependencies (pyyaml, Jinja2, phoebusgen, jnjrender). Active maintenance with recent commits; last release 122 days ago. Requires Python 3.10 or later.
Requires Python 3.10 or later. Intended for EPICS/Kubernetes environments; limited utility outside that domain.
License in practice
MIT license (permissive). You can use, modify, and distribute this package freely with minimal restrictions, provided you retain the license notice.
Quickstart
pip install epik8s-tools
epik8s-tools my_project --beamline MyBeamline --iocbaseip 10.96.0.0/12 --beamlinerepogit https://github.com/beamline/repo.gitVerify before relying
- Whether phoebusgen and jnjrender are widely available or niche dependencies that may complicate installation.
- Whether the package works with Kubernetes distributions other than microk8s, or if microk8s is a practical requirement.
- Real-world deployment success rate and community adoption beyond the INFN/EPICS research community.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagespyyamlJinja2phoebusgenjnjrender |
| Maintenance | Actively maintained 122 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 126,576 / month, #11,773 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: epik8s_tools-0.16.4-py3-none-any.whl
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See also flux-local · phoebusgen · pyhelm3 · ophyd-async · epicscorelibs · ophyd · cdk8s · pyepics · aws-cdk.asset-kubectl-v20 · pulumi-kubernetes