| --- |
| title: README |
| emoji: π |
| colorFrom: blue |
| colorTo: indigo |
| sdk: static |
| pinned: false |
| --- |
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| # Quantiles |
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| **Open-source, local-first evaluation infrastructure for applied AI systems, designed for developer and coding-agent workflows.** |
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| Quantiles gives developers a CLI and Python SDK for creating, running, analyzing, and comparing AI evaluations from their existing development environment. It records metrics, sample-level outputs, execution traces, and run history locally, making it easier to measure system behavior, detect regressions, validate changes, and ship higher-quality, more reliable AI systems. |
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| With Quantiles, developers can: |
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| - Run built-in benchmarks or create custom evaluations from configuration or Python. |
| - Debug individual samples with step-level inputs, outputs, metrics, and errors. |
| - Resume interrupted runs and reuse completed steps. |
| - Compare models, prompts, datasets, and configurations from the CLI. |
| - Run evaluation workflows with coding agents using the Quantiles agent skill. |
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| ## Quickstart |
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| Install the CLI and run SimpleQA Verified: |
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| ```bash |
| curl -fsSL https://cli.quantiles.io/install.sh | bash |
| qt run simpleqa-verified |
| qt show 1 --json |
| ``` |
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| This first run uses the built-in demo model, so it requires no model API key and incurs no inference cost. Use it to verify the workflow, then configure a provider-backed model for a real evaluation. |
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| ## Documentation & Resources |
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| - [Documentation](https://quantiles.io/documentation) β Everything needed to use Quantiles. |
| - [Quickstart](https://quantiles.io/documentation/quickstart) β Install Quantiles and run your first evaluation. |
| - [GitHub](https://github.com/quantiles-evals/quantiles) β Explore the source code and contribute. |
| - [Agent skill](https://github.com/quantiles-evals/skill) β Run and analyze AI evaluations with a coding agent. |
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| ### Articles |
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| - **Aug 4, 2026** | [Build an AI Evaluation from a Hugging Face Dataset Without Writing Python](https://huggingface.co/blog/phranzia/build-an-ai-evaluation-from-a-hugging-face-dataset) |
| - **Jul 27, 2026** | [Run and Compare AI Evaluations with a CLI for Developers and Coding Agents](https://huggingface.co/blog/phranzia/quantiles-local-ai-evaluation) |
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| Quantiles is available under the [Apache License 2.0](https://github.com/quantiles-evals/quantiles/blob/main/LICENSE). |