DeepEval

DeepEval

Confident AI
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About

DeepEval is a simple-to-use, open source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning, LangChain, or LlamaIndex, DeepEval has you covered. With it, you can easily determine the optimal hyperparameters to improve your RAG pipeline, prevent prompt drifting, or even transition from OpenAI to hosting your own Llama2 with confidence. The framework supports synthetic dataset generation with advanced evolution techniques and integrates seamlessly with popular frameworks, allowing for efficient benchmarking and optimization of LLM systems.

About

pytest helps you write better programs. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. Due to pytest’s detailed assertion introspection, only plain assert statements are used. Detailed info on failing assert statements. Auto-discovery of test modules and functions. Modular fixtures for managing small or parametrized long-lived test resources. Can run unittest (including trial) and nose test suites out of the box. Supports Python 3.6+ and PyPy 3. Rich plugin architecture, with over 315+ external plugins and thriving community. The maintainers of pytest and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professional users interested in a tool to evaluate, test, and optimize their LLM applications

Audience

Developers that require a solution to run complex functional tests for applications and libraries

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Confident AI
United States
docs.confident-ai.com

Company Information

pytest
Founded: 2004
docs.pytest.org/en/6.2.x/

Alternatives

Alternatives

Galileo

Galileo

Cisco
pytest-cov

pytest-cov

Python

Categories

Categories

Integrations

Opik
Allure Report
Captain
Codecov
Coverage.py
Katalon Recorder
Katalon True Platform
KitchenAI
LangChain
Llama 2
LlamaIndex
OpenAI
Pynt
Qualflare
Ragas
Roost.ai
Testmo
VIKTOR
Zebrunner
pytest-cov

Integrations

Opik
Allure Report
Captain
Codecov
Coverage.py
Katalon Recorder
Katalon True Platform
KitchenAI
LangChain
Llama 2
LlamaIndex
OpenAI
Pynt
Qualflare
Ragas
Roost.ai
Testmo
VIKTOR
Zebrunner
pytest-cov
Claim DeepEval and update features and information
Claim DeepEval and update features and information
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Claim pytest and update features and information