BudgetML

BudgetML

ebhy
+
+

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About

BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production quickly and cheaply. Cloud functions are limited in memory and cost a lot at scale. Kubernetes clusters are overkill for one single model. Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, backend servers, etc., that are simply not within the scope of a typical data scientist. BudgetML is our answer to this challenge. It is supposed to be fast, easy, and developer-friendly. It is by no means meant to be used in a full-fledged production-ready setup. It is simply a means to get a server up and running as fast as possible with the lowest costs possible.

About

It is based on the concept of Model, View and Controllers. The framework is designed to enforce a clean style that results in code that is maintainable over a long period. Other popular web frameworks are built with a mindset of launching fast. This results in code that will deploy quickly, but falls under it’s own complexity after many iterations. An example of a controller process is Apache, or gunicorn. A manifest is given to the controller process when it is started. All incoming requests to the controller process will be routed to a program contained within the manifest. A manifest is just a collection of programs. A user makes a request to the controller process. This can be a web request, or a command line invocation, or any other action that is handled by a controller process.

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

Any user wanting a tool to deploy ML models on a budget

Audience

Developers searching for a framework that helps build applications in a functional style

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 Supported

API

Offers API Not 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 Not Supported

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 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 Information

ebhy
github.com/ebhy/budgetml

Company Information

Giotto
giotto.readthedocs.io/en/latest/

Alternatives

Alternatives

Categories

Prompt Management Supported

Categories

Integrations

APIFuzzer Supported
Docker Supported
FastAPI Supported
Google Cloud Platform Supported
Gunicorn Supported
Kubernetes Supported
OAuth Supported
Python Not Supported
Swagger Supported
ZenML Supported

Integrations

APIFuzzer Not Supported
Docker Not Supported
FastAPI Not Supported
Google Cloud Platform Not Supported
Gunicorn Not Supported
Kubernetes Not Supported
OAuth Not Supported
Python Supported
Swagger Not Supported
ZenML Not Supported
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