DeepEvalConfident AI
|
||||||
Related Products
|
||||||
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
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
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
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationConfident AI
United States
docs.confident-ai.com
|
Company Informationpytest
Founded: 2004
docs.pytest.org/en/6.2.x/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Opik
Supported
Allure Report
Not Supported
Codecov
Not Supported
Coverage.py
Not Supported
Katalon Recorder
Not Supported
Katalon True Platform
Not Supported
LangChain
Supported
Launchable
Not Supported
Llama 2
Supported
LlamaIndex
Supported
|
Integrations
Opik
Supported
Allure Report
Supported
Codecov
Supported
Coverage.py
Supported
Katalon Recorder
Supported
Katalon True Platform
Supported
LangChain
Not Supported
Launchable
Supported
Llama 2
Not Supported
LlamaIndex
Not Supported
|
|||||
|
|
|