title: README
emoji: 📊
colorFrom: blue
colorTo: indigo
sdk: static
pinned: false
Quantiles
Open-source, local-first evaluation infrastructure for applied AI systems, designed for developer and coding-agent workflows.
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.
With Quantiles, developers can:
- 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.
Quickstart
Install the CLI and run SimpleQA Verified:
curl -fsSL https://cli.quantiles.io/install.sh | bash
qt run simpleqa-verified
qt show 1 --json
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.
Documentation & Resources
- Documentation — Everything needed to use Quantiles.
- Quickstart — Install Quantiles and run your first evaluation.
- GitHub — Explore the source code and contribute.
- Agent skill — Run and analyze AI evaluations with a coding agent.
Articles
- Aug 4, 2026 | Build an AI Evaluation from a Hugging Face Dataset Without Writing Python
- Jul 27, 2026 | Run and Compare AI Evaluations with a CLI for Developers and Coding Agents
Quantiles is available under the Apache License 2.0.