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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

BudgetML is an ideal solution for professionals looking to swiftly launch their models to an endpoint without investing excessive time, money, or effort into mastering the complex end-to-end process. We developed BudgetML in response to the challenge of finding a straightforward and cost-effective method to bring a model into production promptly. Traditional cloud functions often suffer from memory limitations and can become expensive as usage scales, while Kubernetes clusters are unnecessarily complex for deploying a single model. Starting from scratch also requires navigating a myriad of concepts such as SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, and backend servers, which can be overwhelming for the average data scientist. BudgetML directly addresses these hurdles, prioritizing speed, simplicity, and accessibility for developers. It is not intended for comprehensive production environments but serves as a quick and economical way to set up a server efficiently. Ultimately, BudgetML empowers users to focus on their models without the burden of unnecessary complications.

Description

AI engineering can be transparent rather than opaque. With a suite of tools for tracing, assessment, prompt management, and more, HoneyHive emerges as a comprehensive platform for AI observability and evaluation, aimed at helping teams create dependable generative AI applications. This platform equips users with resources for model evaluation, testing, and monitoring, promoting effective collaboration among engineers, product managers, and domain specialists. By measuring quality across extensive test suites, teams can pinpoint enhancements and regressions throughout the development process. Furthermore, it allows for the tracking of usage, feedback, and quality on a large scale, which aids in swiftly identifying problems and fostering ongoing improvements. HoneyHive is designed to seamlessly integrate with various model providers and frameworks, offering the necessary flexibility and scalability to accommodate a wide range of organizational requirements. This makes it an ideal solution for teams focused on maintaining the quality and performance of their AI agents, delivering a holistic platform for evaluation, monitoring, and prompt management, ultimately enhancing the overall effectiveness of AI initiatives. As organizations increasingly rely on AI, tools like HoneyHive become essential for ensuring robust performance and reliability.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Google Cloud Platform Yes 
CircleCI No 
Codestral Mamba No 
FastAPI Yes 
Gemini No 
Gemini 1.5 Flash No 
Gemini 1.5 Pro No 
Gemini 2.0 Flash No 
GitHub No 
Google AI Plus No 
Google Cloud BigQuery No 
Jenkins No 
Mistral Small No 
Mixtral 8x22B No 
OpenTelemetry No 
Pinecone Rerank v0 No 
Redis No 
Together AI No 
ZenML Yes 

Integrations

Google Cloud Platform Yes 
CircleCI Yes 
Codestral Mamba Yes 
FastAPI No 
Gemini Yes 
Gemini 1.5 Flash Yes 
Gemini 1.5 Pro Yes 
Gemini 2.0 Flash Yes 
GitHub Yes 
Google AI Plus Yes 
Google Cloud BigQuery Yes 
Jenkins Yes 
Mistral Small Yes 
Mixtral 8x22B Yes 
OpenTelemetry Yes 
Pinecone Rerank v0 Yes 
Redis Yes 
Together AI Yes 
ZenML No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

ebhy

Website

github.com/ebhy/budgetml

Vendor Details

Company Name

HoneyHive

Founded

2022

Country

United States

Website

www.honeyhive.ai/

Product Features

Alternatives

Alternatives