semvec/pypi-packages huggingface dataset:
trulens 2.7.0
Library to systematically track and evaluate LLM based applications.
License: MIT
Requires Python: <4.0,>=3.10

![PyPI - Version](https://img.shields.io/pypi/v/trulens?label=trulens&link=https%3A%2F%2Fpypi.org%2Fproject%2Ftrulens%2F)
[![Azure Build Status](https://dev.azure.com/truera/trulens/_apis/build/status%2FTruLens%20E2E%20Tests?branchName=main)](https://dev.azure.com/truera/trulens/_build/latest?definitionId=8&branchName=main)
![GitHub](https://img.shields.io/github/license/truera/trulens)
![PyPI - Downloads](https://img.shields.io/pypi/dm/trulens-core)
[![Discourse](https://img.shields.io/discourse/users?server=https://snowflake.discourse.group/)](https://snowflake.discourse.group/c/ai-research-and-development-community/trulens/97)
[![Docs](https://img.shields.io/badge/docs-trulens.org-blue)](https://www.trulens.org/getting_started/)
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/truera/trulens/blob/main/examples/quickstart/langchain_quickstart.ipynb)
[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/truera/trulens)

# 🦑 Welcome to TruLens!

![TruLens](https://www.trulens.org/assets/images/Neural_Network_Explainability.png)

**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](https://www.trulens.org/getting_started/core_concepts/feedback_functions/),
[The RAG Triad](https://www.trulens.org/getting_started/core_concepts/rag_triad/),
and [Honest, Harmless and Helpful Evals](https://www.trulens.org/getting_started/core_concepts/honest_harmless_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](https://www.trulens.org/assets/images/TruLens_Architecture.png)

## Installation and Setup

Install the trulens pip package from PyPI.

```bash
    pip install trulens
```

## Quick Usage

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

[![Open In
Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/truera/trulens/blob/main/examples/quickstart/quickstart.ipynb)

### 💡 Contributing & Community

Interested in contributing? See our [contributing
guide](https://www.trulens.org/contributing/) for more details.

The best way to support TruLens is to give us a ⭐ on
[GitHub](https://www.github.com/truera/trulens) and join our [discourse
community](https://snowflake.discourse.group/c/ai-research-and-development-community/trulens/97)!
trulens-eval 2.7.0
Backwards-compatibility package for API of trulens_eval<1.0.0 using API of trulens-*>=1.0.0.
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

# trulens-eval
trulens-dashboard 2.7.0
Library to systematically track and evaluate LLM based applications.
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

# trulens-dashboard

## Install Node.js

See [the Node.js website](https://nodejs.org/en/download/package-manager) for details

## Building

Build with `python -m build`
opsramp-analytics-utils-security-fix 1.0.0
OpsRamp Analytics SDK
License: MIT
Requires Python: >=3.6

## OpsRamp Analytics Utilities

This is the SDK for writing OpsRamp analytics apps. It is based on [dash](https://plotly.com/dash/), and it has a number of utility functions.

It contains [analysis wrapper project](https://github.com/opsramp/analysis-wrapper).

It is published on [Pypi](https://pypi.org/project/opsramp-analytics-utils/)

#### How to publish on Pypi

After make updates on SDK, modify the version in _setup.py_.

```
python setup.py sdist bdist_wheel
python -m twine upload dist/*

Note: if above command not works, then use below command
python -m twine upload --skip-existing dist/*
```

- To upgrade the sdk for your app
```
pip install --no-cache-dir --upgrade opsramp-analytics-utils
```