Comparison
Carbon Aware KEDA Operator vs PowerAPI
Carbon Aware KEDA Operator vs PowerAPI: Kubernetes operator that throttles KEDA-scaled workloads according to grid carbon intensity. Python toolkit for…
Carbon-Aware Computing · both listings verified
| Field | Carbon Aware KEDA Operator Kubernetes operator that throttles KEDA-scaled workloads according to grid carbon intensity. | PowerAPI Python toolkit for building software-defined power meters at application and container level. |
|---|---|---|
| Pricing model | Free | Free |
| Pricing published | Public pricing | Public pricing |
| Starting price | Free | Free |
| Licensing | Open source | Open source |
| Pricing details | MIT licensed and free to deploy; the operator runs inside a self-managed Kubernetes cluster and uses a configured carbon intensity data source. | BSD 3-Clause licensed; distributed as open-source software with no paid tier. |
| Free tier | Yes | Yes |
| Assets covered | ||
| Platforms | On-premise, Cloud | On-premise, Cloud |
| Region support | Global | Global |
| Compliance | Not stated | Not stated |
| API available | No | No |
| Last verified | 2026-10-27 | 2026-10-22 |
Editor's take on Carbon Aware KEDA Operator
Fits Kubernetes platform teams already running KEDA that want a low-risk way to make batch or ML workloads carbon-aware without touching application code: a custom resource caps replica counts by grid intensity and leaves desired replicas to KEDA and the autoscaler. The trade-off is that it sets a ceiling rather than scheduling to the cleanest hour, the effect depends on the configured intensity data source, and it only helps workloads that can flex. No measurement is included, so savings need separate monitoring. Teams without KEDA, or with latency-sensitive workloads, should not start here.
Read the Carbon Aware KEDA Operator listingEditor's take on PowerAPI
Built for teams that need power figures at application, container, virtual machine, process or code level without adding physical meters, using software-defined estimators with pluggable estimation, storage and export actors. The trade-off is modelling: numbers come from software estimation rather than direct metering, so accuracy depends on the estimator plugin and the platform support chosen, and assembling and operating the actor pipeline is real engineering work. It stops at power; carbon intensity, reporting and dashboards are out of scope. Organisations wanting turnkey metering or audited emissions should pair it with other tools.
Read the PowerAPI listingJudgement is written by the editor. Paid placements never change the ranking or the recorded field values.
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