Skip to main content

Helping humans ride the GenAI evaluation wave

Project description

Code quality Coverage SPEC 0 Docs Python versions PyPI Release Commits License

GLIDE Logo

GLIDE

Generative Label Inference & Debiasing Engine

🧭 What is GLIDE?

GLIDE is a Python library for rigorous evaluation of GenAI systems using hybrid human/proxy annotations.

🤔 Why GLIDE?

  • 🤖 GenAI applications are everywhere — and imperfect. Deployed systems make mistakes, and measuring how often matters.
  • ⚖️ LLM-as-judge is biased. Proxy evaluators (models, heuristics) are cheap but systematically over- or under-estimate true performance.
  • 🧑 Rigorous evaluation requires a human in the loop. Ground-truth labels from humans are expensive, so only a small subset is feasible.
  • 📐 GLIDE bridges the gap. It combines a small set of human annotations with a large set of proxy predictions to produce statistically valid metrics — correcting proxy bias without requiring full human labeling.

⚡ Quick Start

pip install glide-py

📚 Documentation

Documentation

🤝 Contributing

Contributions are welcome! Feel free to open an issue to report a bug or suggest a feature, or submit a pull request with your changes.

🔢 Versioning

This project follows Semantic Versioning (SemVer): MAJOR.MINOR.PATCH.

📦 Dependency Support

This project follows SPEC 0 for dependency support windows.

📄 License & Citation

This project is licensed under the Apache 2.0 License.

If you use Glide in your research, please cite:

@software{glide,
  title  = {GLIDE: Generative Label Inference \& Debiasing Engine},
  year   = {2026},
  url    = {https://github.com/EmertonData/glide},
}

🏛️ Affiliation

Developed at Emerton Data.

Emerton Data

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

glide_py-0.2.0.tar.gz (6.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

glide_py-0.2.0-py3-none-any.whl (19.3 kB view details)

Uploaded Python 3

File details

Details for the file glide_py-0.2.0.tar.gz.

File metadata

  • Download URL: glide_py-0.2.0.tar.gz
  • Upload date:
  • Size: 6.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for glide_py-0.2.0.tar.gz
Algorithm Hash digest
SHA256 07a78a41135577227e89d22b1962fa27e128b900b7847c247a968ccab583983c
MD5 4e941054d6efd865a5ba9859289b1087
BLAKE2b-256 1d3c1c3c810bf721050a0472f4803ebad40baf9a2ebdd0ad41191abe22b651d6

See more details on using hashes here.

Provenance

The following attestation bundles were made for glide_py-0.2.0.tar.gz:

Publisher: release.yml on EmertonData/glide

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file glide_py-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: glide_py-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 19.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for glide_py-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0b2c42f68959612eb73afb53a724992a068dbd65ade1831de2f2bfa5361c99b7
MD5 c8814ff4729660bec299c545ec580890
BLAKE2b-256 1cff9fe38489cc8883a542462a0d354df67cd673e7478ca5ac479531ee32d0fe

See more details on using hashes here.

Provenance

The following attestation bundles were made for glide_py-0.2.0-py3-none-any.whl:

Publisher: release.yml on EmertonData/glide

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page