PyPI - Version Azure Build Status GitHub PyPI - Downloads Discourse Docs Open In Colab Ask DeepWiki

🦑 Welcome to TruLens!

TruLens

Don't just vibe-check your LLM app! Systematically evaluate and track your LLM experiments with TruLens. As you develop your app including prompts, models, retrievers, knowledge sources and more, TruLens is the tool you need to understand its performance.

Fine-grained, stack-agnostic instrumentation and comprehensive evaluations help you to identify failure modes & systematically iterate to improve your application.

Read more about the core concepts behind TruLens including Feedback Functions, The RAG Triad, and Honest, Harmless and Helpful Evals.

TruLens in the development workflow

Build your first prototype then connect instrumentation and logging with TruLens. Decide what feedbacks you need, and specify them with TruLens to run alongside your app. Then iterate and compare versions of your app in an easy-to-use user interface 👇

Architecture Diagram

Installation and Setup

Install the trulens pip package from PyPI.

    pip install trulens

Quick Usage

Walk through how to instrument and evaluate a RAG built from scratch with TruLens.

Open In Colab

💡 Contributing & Community

Interested in contributing? See our contributing guide for more details.

The best way to support TruLens is to give us a ⭐ on GitHub and join our discourse community!

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.14.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Truera from gravatar.com Truera

Credits

Author: Snowflake Inc.

License

MIT License (MIT)

Requires

Python !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*, >=3.9

Classifiers

Report project as malware

Download files

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

Source Distribution

trulens-2.2.4.tar.gz (4.1 kB view details)

Uploaded Source

Built Distribution

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

trulens-2.2.4-py3-none-any.whl (3.7 kB view details)

Uploaded Python 3

File details

Details for the file trulens-2.2.4.tar.gz.

File metadata

  • Download URL: trulens-2.2.4.tar.gz
  • Upload date:
  • Size: 4.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.11

File hashes

Hashes for trulens-2.2.4.tar.gz
Algorithm Hash digest
SHA256 7da10aaeb616062e8ea0a3fe0b576bc7ef2826cd22d4a76945a36ebf12667140
MD5 02ac7b3ec5cecfd5c947353b9668e2ab
BLAKE2b-256 918e7b8b8f2655ed85ac3fe6af2fd514463c54e53d9250970d2b12b509db2210

See more details on using hashes here.

File details

Details for the file trulens-2.2.4-py3-none-any.whl.

File metadata

  • Download URL: trulens-2.2.4-py3-none-any.whl
  • Upload date:
  • Size: 3.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.11

File hashes

Hashes for trulens-2.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 45f3774961975309340bed0c962ee009fe61ea831d6232dfe0d81621f725af38
MD5 ce64a473eb5890e435086d9f3547eb9d
BLAKE2b-256 265502c9dffff3da93396af1857d44b3b90ca88202aa3300cd277389d4281f97

See more details on using hashes here.

Release history Release notifications | RSS feed

2.14.0

2 files

2.13.1

2 files

2.13.0

2 files

2.12.0

2 files

2.11.0

2 files

2.10.0

2 files

2.9.0

2 files

2.8.1

2 files

2.8.0

2 files

2.7.2

2 files

2.7.1

2 files

2.7.0

2 files

2.6.0

2 files

2.5.3

2 files

2.5.2

2 files

2.5.1

2 files

2.5.0

2 files

2.4.2

2 files

2.4.1

2 files

2.4.0

2 files

2.3.1

2 files

2.3.0

2 files

This release

2.2.4 This release

2 files

2.2.3

2 files

2.2.2

2 files

2.2.1

2 files

2.2.0

2 files

2.1.4

2 files

2.1.2

2 files

Pre-release

2.1.2a0

2 files

2.1.1

2 files

2.1.0

2 files

Pre-release

2.0.2a0

2 files

1.5.3

2 files

1.5.2

2 files

1.5.1

2 files

1.5.0

2 files

1.4.9

2 files

1.4.8

2 files

1.4.7

2 files

1.4.6

2 files

1.4.5

2 files

1.4.4

2 files

1.4.3

2 files

1.4.2

2 files

1.4.1

2 files

Pre-release

1.4.1a1

2 files

Pre-release

1.4.1a0

2 files

1.4.0

2 files

Pre-release

1.4.0a0

2 files

1.3.5

2 files

1.3.4

2 files

1.3.3

2 files

Pre-release

1.3.3a0

2 files

1.3.2

2 files

1.3.1

2 files

1.3.0

2 files

1.2.11

2 files

1.2.10

2 files

1.2.9

2 files

1.2.8

2 files

1.2.7

2 files

1.2.6

2 files

Yanked

1.2.5

2 files

1.2.4

2 files

Yanked

1.2.3

2 files

1.2.2

2 files

1.2.1

2 files

1.2.0

2 files

1.1.0

2 files

Pre-release

1.1.0a4

2 files

Pre-release

1.1.0a3

2 files

Pre-release

1.1.0a2

2 files

Pre-release

1.1.0a1

2 files

Pre-release

1.1.0a0

2 files

1.0.11

2 files

1.0.10

2 files

1.0.9

2 files

1.0.8

2 files

1.0.7

2 files

1.0.6

2 files

1.0.5

2 files

1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

1.0.1

2 files

Pre-release

1.0.1a6

2 files

Pre-release

1.0.1a5

2 files

Pre-release

1.0.1a4

2 files

Pre-release

1.0.1a2

2 files

Pre-release

1.0.1a1

2 files

Pre-release

1.0.1a0

1 file

0.13.4

1 file

0.13.3

1 file

0.13.2

1 file

0.13.1

1 file

0.13.0

1 file

0.12.1

1 file

0.0.12.1

1 file

0.0.12

1 file

0.0.11

1 file

0.0.10

1 file

0.0.9

1 file

0.0.8

1 file

0.0.7

1 file

0.0.6

1 file

0.0.5

1 file

0.0.4

1 file

0.0.3

1 file

0.0.2

1 file

0.0.1

1 file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page