Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
The framework operates on the principles of Model, View, and Controller architecture. It prioritizes a structured approach that leads to code that remains easy to manage over time. In contrast, many widely-used web frameworks focus on rapid launch capabilities, often resulting in code that may deploy swiftly but becomes increasingly complicated after numerous updates. For instance, processes like Apache and Gunicorn serve as examples of controller operations. When initiated, a controller process receives a manifest, which acts as a roadmap. All requests directed towards the controller process are then navigated to a specific program outlined in the manifest. Essentially, a manifest is a compilation of various programs that can be executed. Users can interact with the controller process through web requests, command line inputs, or other actions, showcasing its versatile handling capabilities. This system underscores the importance of a well-organized structure in software development.
API Access
Has API
Yes
API Access
Has API
No
Integrations
APIFuzzer
Yes
Docker
Yes
FastAPI
Yes
Google Cloud Platform
Yes
Gunicorn
Yes
Kubernetes
Yes
OAuth
Yes
Python
No
Swagger
Yes
ZenML
Yes
Integrations
APIFuzzer
No
Docker
No
FastAPI
No
Google Cloud Platform
No
Gunicorn
No
Kubernetes
No
OAuth
No
Python
Yes
Swagger
No
ZenML
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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)
No
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
Giotto
Website
giotto.readthedocs.io/en/latest/