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About

AI engineering doesn't have to be a black box. Get full visibility with tools for tracing, evaluation, prompt management, and more. HoneyHive is an AI observability and evaluation platform designed to assist teams in building reliable generative AI applications. It offers tools for evaluating, testing, and monitoring AI models, enabling engineers, product managers, and domain experts to collaborate effectively. Measure quality over large test suites to identify improvements and regressions with each iteration. Track usage, feedback, and quality at scale, facilitating the identification of issues and driving continuous improvements. HoneyHive supports integration with various model providers and frameworks, offering flexibility and scalability to meet diverse organizational needs. It is suitable for teams aiming to ensure the quality and performance of their AI agents, providing a unified platform for evaluation, monitoring, and prompt management.

About

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.

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

Teams in search of a platform for evaluating, monitoring, and managing their AI applications

Audience

Companies looking for an open source platform solution for the machine learning lifecycle

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

No information available.
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

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

Review this Software

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

HoneyHive
Founded: 2022
United States
www.honeyhive.ai/

Company Information

MLflow
Founded: 2018
United States
mlflow.org

Alternatives

Alternatives

Union Cloud

Union Cloud

Union.ai
DVC

DVC

iterative.ai
Braintrust

Braintrust

Braintrust Data

Categories

Categories

Integrations

Databricks
Google Cloud Platform
Amazon Web Services (AWS)
Apolo
Azure Marketplace
CrateDB
Gemini 1.5 Flash
Gemini Pro
Google AI Plus
Kubernetes
MLflow
Microsoft 365
Pinecone
Please
Python
Splunk Cloud Platform
TrueFoundry
Union Cloud
Unity Catalog
Vectice

Integrations

Databricks
Google Cloud Platform
Amazon Web Services (AWS)
Apolo
Azure Marketplace
CrateDB
Gemini 1.5 Flash
Gemini Pro
Google AI Plus
Kubernetes
MLflow
Microsoft 365
Pinecone
Please
Python
Splunk Cloud Platform
TrueFoundry
Union Cloud
Unity Catalog
Vectice
Claim HoneyHive and update features and information
Claim HoneyHive and update features and information
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