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| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1" /> | |
| <title>AuraOne</title> | |
| <link rel="stylesheet" href="style.css" /> | |
| </head> | |
| <body> | |
| <main> | |
| <h1>AuraOne</h1> | |
| <p> | |
| AuraOne is a human data company for AI teams and a workflow service for | |
| enterprises. It supplies expert judgment, speech, physical-world data | |
| and checked workflows. | |
| </p> | |
| <p> | |
| <a href="https://auraone.ai">Website</a> | | |
| <a href="https://auraone.ai/company/facts">Company facts</a> | | |
| <a href="https://auraone.ai/open">Open tools</a> | | |
| <a href="https://github.com/auraoneai">GitHub</a> | | |
| <a href="https://www.linkedin.com/company/auraonecompany/">LinkedIn</a> | | |
| <a href="https://x.com/AuraOneLabs">X</a> | |
| </p> | |
| <h2>Open tools</h2> | |
| <p>All MIT licensed.</p> | |
| <table> | |
| <thead> | |
| <tr><th>Tool</th><th>What it does</th><th>Source</th></tr> | |
| </thead> | |
| <tbody> | |
| <tr> | |
| <td>EvalKit</td> | |
| <td>Python CLI for rubric validation and linting, deterministic scoring, reviewer agreement, judge calibration, drift and leakage checks, and evidence reports. Runs on files you own.</td> | |
| <td><a href="https://github.com/auraoneai/open">auraoneai/open</a></td> | |
| </tr> | |
| <tr> | |
| <td>rubric-spec</td> | |
| <td>Validate, lint, diff, and convert portable AuraOne Rubric Schema v1 files.</td> | |
| <td><a href="https://github.com/auraoneai/rubric-spec">auraoneai/rubric-spec</a></td> | |
| </tr> | |
| <tr> | |
| <td>iaa-kit</td> | |
| <td>Measure inter-annotator agreement with modern metrics, uncertainty, ordinal support, and missing-data handling.</td> | |
| <td><a href="https://github.com/auraoneai/iaa-kit">auraoneai/iaa-kit</a></td> | |
| </tr> | |
| <tr> | |
| <td>judge-bench</td> | |
| <td>Probe judge behavior for position, verbosity, self-preference, paraphrase, anchoring, and calibration failures.</td> | |
| <td><a href="https://github.com/auraoneai/judge-bench">auraoneai/judge-bench</a></td> | |
| </tr> | |
| <tr> | |
| <td>lerobot-quality-gates</td> | |
| <td>Check a LeRobot-style dataset's metadata, episodes, timestamps and video references before training or publication.</td> | |
| <td><a href="https://github.com/auraoneai/lerobot-quality-gates">auraoneai/lerobot-quality-gates</a></td> | |
| </tr> | |
| <tr> | |
| <td>Rubric Studio Open</td> | |
| <td>Author, validate, preview, calibrate, diff, and export criterion-level AI evaluation rubrics.</td> | |
| <td><a href="https://github.com/auraoneai/rubric-studio-open">auraoneai/rubric-studio-open</a></td> | |
| </tr> | |
| <tr> | |
| <td>Agent Studio Open</td> | |
| <td>Connect agent systems, inspect tool traces, replay failures, compare candidates, and export regression evidence.</td> | |
| <td><a href="https://github.com/auraoneai/agent-studio-open">auraoneai/agent-studio-open</a></td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| <h2>Packages</h2> | |
| <p> | |
| Python, on PyPI: | |
| <a href="https://pypi.org/project/auraone-evalkit/">auraone-evalkit</a>, | |
| <a href="https://pypi.org/project/rubric-spec/">rubric-spec</a>, | |
| <a href="https://pypi.org/project/iaa-kit/">iaa-kit</a>, | |
| <a href="https://pypi.org/project/judge-bench/">judge-bench</a>, | |
| <a href="https://pypi.org/project/lerobot-quality-gates/">lerobot-quality-gates</a>. | |
| </p> | |
| <p> | |
| JavaScript, on npm under the @auraone scope: | |
| <a href="https://www.npmjs.com/package/@auraone/sdk">@auraone/sdk</a>, | |
| <a href="https://www.npmjs.com/package/@auraone/agent-studio">@auraone/agent-studio</a>, | |
| <a href="https://www.npmjs.com/package/@auraone/github-app">@auraone/github-app</a>, | |
| <a href="https://www.npmjs.com/package/@auraone/aura-ide-kit">@auraone/aura-ide-kit</a>, | |
| <a href="https://www.npmjs.com/package/@auraone/platform-contracts">@auraone/platform-contracts</a>, | |
| <a href="https://www.npmjs.com/package/@auraone/proofline-oss">@auraone/proofline-oss</a>. | |
| </p> | |
| <h2>Datasets</h2> | |
| <p> | |
| Small synthetic tutorial datasets for the tools above. The rows are | |
| hand-written. They are not expert-authored, not human-validated, and | |
| not for training or benchmarking. | |
| </p> | |
| <ul> | |
| <li><a href="https://huggingface.co/datasets/auraone/evalkit-tutorial-v0.1">evalkit-tutorial-v0.1</a></li> | |
| <li><a href="https://huggingface.co/datasets/auraone/synthetic-multiturn-eval-v0.1">synthetic-multiturn-eval-v0.1</a></li> | |
| </ul> | |
| <p class="note"> | |
| AuraOne (auraone.ai) is a different company from Aura, the | |
| identity-protection service at aura.com. | |
| </p> | |
| </main> | |
| </body> | |
| </html> | |