# gocrane/crane

Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easier but also ensure the quality of applications.

Repository: https://github.com/gocrane/crane
Canonical: https://ross.abutalabs.com/products/crane
Homepage: https://gocrane.io
Language: Go
License: Apache-2.0
License Family: permissive
Topics: kubernetes, finops, cloud-computing, cloud-native, cost-optimization, autoscaling, prediction, analytics, monitoring, time-series, cncf, cost-control, cost-estimation
Last push: 2024-12-20T01:55:09+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1749, "days_push": 622, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2052, forks 408 (observed 2026-08-28T04:06:09.672463+00:00)

## What it is
Crane is a FinOps platform for cloud resource analytics and cost optimization in Kubernetes clusters. It provides cost insight, optimization recommendations, prediction-driven autoscaling, and load-aware scheduling to reduce cloud spend while maintaining application quality.

## Use cases
- reduce kubernetes cloud costs
- visualize kubernetes cluster spending
- get resource optimization recommendations for workloads
- autoscale pods ahead of predicted traffic peaks
- find and reclaim idle cloud resources
- schedule pods based on actual node utilization
- export cloud billing data to prometheus

## When to choose
- you run workloads on kubernetes and need multi-dimensional cost insight
- you want prediction-driven horizontal autoscaling based on time-series forecasting
- you need a pluggable recommendation framework for resource and replica tuning
- you want a FinOps Certified Solution with multi-cloud pricing support

## When to avoid
- your infrastructure is not on kubernetes
- you only need simple cloud billing dashboards without kubernetes resource analytics
- you need cost management for serverless or VM-only environments

## Facets
- artifact type: application
- maturity: active
- function: monitoring, analytics, data-visualization, scheduling, machine-learning, developer-tools
- domain: cloud-computing, monitoring, analytics, infrastructure-as-code
- platform: self-hosted, cloud, go
- tags: finops, cost-optimization, autoscaling, kubernetes-operators, cost-estimation, time-series-prediction, cncf, devops, containers, kubernetes, docker

## Member repositories
- gocrane/crane (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:09.672463+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:57:25.913734+00:00, confidence not recorded.
  - readme: https://github.com/gocrane/crane (fetched 2026-08-28T04:06:09.672463+00:00, sha 06b702367f05)
  - homepage: https://gocrane.io (fetched 2026-08-29T10:37:39.915877+00:00, sha 92062835f3ff)
  - site_page: https://gocrane.io/docs (fetched 2026-08-29T10:37:39.925090+00:00, sha beb38a80adb8)
- Data as of 2026-08-30T08:39:29.467469+00:00.