Future AGI evaluates and observes AI and agent applications with tracing, simulations, datasets, and guardrails.
Open source
24 alternativesStarwhale
Machine learning operations and large language model operations are the focus of Starwhale’s platform.
About Starwhale
Starwhale is an open-source MLOps/LLMOps platform released under the Apache-2.0 license, designed to streamline machine learning operations across the full model development lifecycle. It offers three deployment configurations to fit different operational needs: standalone for local development and debugging, server for private data centers running on Kubernetes, and a cloud-hosted public option that requires no self-installation. The platform abstracts Model, Runtime, and Dataset as first-class core assets, and includes built-in capabilities for production-scale model evaluation, interactive web-based model assessment via live demos, and end-to-end LLM fine-tuning, benchmarking, and publishing.
Key features
- Three deployment configurations: standalone, server, cloud-hosted
- First-class Model, Runtime, and Dataset abstractions
- Production-scale model evaluation via Python SDK
- Interactive web-based live demo for model assessment
- End-to-end LLM fine-tuning and benchmarking toolchain
- Reproducible, shareable runtime environments for Python programs
Best for: Machine learning and LLM operations teams seeking standardized, flexible tooling for model development, evaluation, and deployment.
Good for
- Open-source under the permissive Apache-2.0 license, allowing customization
- Supports three flexible deployment configurations for different operational environments
- Abstracts core ML assets as first-class citizens to streamline workflows
Watch out for
- Server deployment requires an existing Kubernetes cluster
- Cloud-hosted version requires user account registration to access
- Standalone configuration is limited to local development and debugging use cases
Starwhale at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Starwhale FAQ
What deployment options does Starwhale offer?
Starwhale offers three configurations: standalone for local development, server for private Kubernetes-based data centers, and a cloud-hosted public option.
What core ML assets does Starwhale treat as first-class citizens?
Starwhale abstracts Model, Runtime, and Dataset as first-class citizens for streamlined operations.
What key workflow capabilities are built into Starwhale?
Built-in capabilities include model evaluation, interactive live demo assessment, and end-to-end LLM fine-tuning and benchmarking.
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