OptScale - MLOps & FinOps open source platform
MLOps and FinOps platform to run ML/AI experiments and regular cloud workloads with optimal performance and cost
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OptScale is an open-source MLOps and FinOps platform for tracking ML experiments and optimizing multi-cloud costs.
- for
- ML/AI engineers and cloud cost managers
- pricing
- freemium
- license
- Apache-2.0
- 2026091701-publica month ago
- 2026080701-public2 months ago
- 2026062501-public4 months ago
Key features
- Experiment Tracking — Log and monitor ML/AI experiment runs in a central dashboard.
- Model Versioning — Store and manage different versions of trained models.
- ML Leaderboards — Compare model performance across experiments.
- Hyperparameter Tuning — Automate search for optimal hyperparameters.
- Training Instrumentation — Collect detailed metrics during model training.
- Cost Optimization Recommendations — Suggest RI/SI, storage, VM rightsizing and other savings across clouds.
Use cases
- Track and compare ML experiment results across teams
- Automatically tune hyperparameters to improve model accuracy
- Identify and eliminate duplicate S3 objects to reduce storage costs
- Optimize VM sizes and reserved instances for lower cloud spend
- Manage Databricks expenses alongside other cloud workloads
OptScale - MLOps & FinOps open source platform pricing
- Free$0< $5,000 monthly spend per cloud account · 8/5 customer support
- Pro$95/cloud account per monthUnlimited cloud accounts and spend · 24/7 customer support
OptScale - MLOps & FinOps open source platform vs alternatives
 OptScale - MLOps & FinOps open source platform | .jpg?width=64) OpenObserve | .png?width=64) Langfuse | .jpg1690446595296.png?width=64) Dify.AI |  DoubleCloud | |
|---|---|---|---|---|---|
| Best for | Experiment tracking with cost optimization | Petabyte-scale observability | LLM app analytics | LLM application building | Data workflow orchestration |
| Pricing | Freemium | Subscription | Subscription | Free | Subscription |
| DevHunt upvotes | 5 | 39 | 89 | 30 | 42 |
| Launched | Apr 2024 | Apr 2026 | Jan 2023 | Jan 2023 | May 2024 |
- OptScale - MLOps & FinOps open source platform vs OpenObserve: OpenObserve focuses on observability metrics, not MLOps or FinOps cost tools.
- OptScale - MLOps & FinOps open source platform vs Langfuse: Langfuse provides LLM app observability, whereas OptScale targets general ML experiments and cloud cost optimization.
- OptScale - MLOps & FinOps open source platform vs Dify.AI: Dify.AI is an LLMOps platform, not a multi-cloud cost management solution.
- OptScale - MLOps & FinOps open source platform vs DoubleCloud: DoubleCloud helps engineers work with data pipelines, not experiment tracking or FinOps.
OptScale - MLOps & FinOps open source platform FAQ
What does OptScale combine?+
It provides both MLOps features (experiment tracking, model versioning, etc.) and FinOps capabilities for multi-cloud cost optimization.
Which clouds are supported for cost management?+
AWS, Microsoft Azure, GCP, Alibaba Cloud and Kubernetes environments.
What is included in the free plan?+
It covers cloud accounts with monthly spend under $5,000 and offers 8/5 customer support.
Can OptScale be deployed privately?+
Yes, private deployment is available in the Enterprise plan.
How does the Pro plan differ from Free?+
Pro adds unlimited cloud accounts, unlimited spend, and 24/7 support for $95 per cloud account per month.
Summarized by DevHunt from hystax.com · Oct 1, 2026. Details may change; check the official site.
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