hystax/optscale

Health v2 · maintenance only

Adoption not part of the score

2175 stars · 329 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OptScale is an open-source FinOps and cloud cost optimization platform that provides visibility into infrastructure spend across AWS, Azure, GCP, Alibaba Cloud, and Kubernetes. It offers cost analytics, optimization recommendations, and ML/big-data workload profiling for engineering and finance teams.

Use cases

• reduce cloud costs across aws azure and gcp
• track kubernetes cluster spending
• get cloud cost optimization recommendations
• analyze ml workload costs for pytorch and tensorflow jobs
• set budgets and alerts for cloud spending
• profile databricks and spark costs
• self-host a finops platform for multi-cloud

When to choose

• you need multi-cloud cost visibility across AWS, Azure, GCP, Alibaba, and Kubernetes in one tool
• you want an open-source, self-hostable FinOps alternative to commercial cost management tools
• your teams run ML/big-data workloads (Databricks, MLflow, Spark, Kubeflow) and need per-workload cost profiling
• engineering and finance teams need shared dashboards and optimization recommendations

When to avoid

• you only use a single cloud provider whose native cost tools (AWS Cost Explorer, Azure Cost Management) suffice
• you need a lightweight CLI or script rather than a full multi-service platform
• you cannot operate a self-hosted deployment with multiple microservices
• you require enterprise support or private deployment without a paid plan

Facets

application · maturity active

monitoring analytics cloud self-hosted developer-tools cloud-computing analytics monitoring self-hosted python self-hosted cloud finops cloud-cost-optimization cost-management aws azure gcp alibaba-cloud kubernetes mlops-profiling cost-visibility devops docker web-server

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markdown · JSON · MCP: product_card(name="hystax/optscale")