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What is Giotto?

The framework is built around the Model, View, and Controller (MVC) architecture, emphasizing a systematic approach that ensures long-term maintainability of the code. Unlike many popular web frameworks that prioritize quick deployment, often leading to convoluted code after several iterations, this framework focuses on stability and clarity in its design. For example, server processes like Apache and Gunicorn exemplify the role of controllers within this architecture. Upon starting, a controller process takes in a manifest, which serves as a strategic blueprint for operations. All incoming requests to the controller are directed towards specific applications detailed in the manifest. In this context, a manifest represents a collection of executable programs that can be run as needed. Users can engage with the controller through various means, such as web requests and command line commands, demonstrating its adaptability in different scenarios. This framework highlights the critical need for an organized and coherent structure in the realm of software development, showcasing how thoughtful design can enhance both usability and efficiency. Ultimately, investing in a well-structured framework can lead to more sustainable and manageable codebases over time.

What is BudgetML?

BudgetML provides an excellent option for practitioners who wish to quickly launch their models to an endpoint without the burden of extensive time, financial investment, or effort required to navigate the intricacies of complete deployment. The inspiration behind BudgetML arose from the challenges of locating an accessible and cost-effective approach for rapidly bringing a model into production. Using cloud functions can lead to issues with memory limitations and increased expenses when scaling, and Kubernetes clusters often introduce unnecessary complexity for the deployment of a single model. Starting from ground zero necessitates a grasp of various concepts like SSL certificate generation, Docker, REST APIs, Uvicorn/Gunicorn, and backend servers, which most data scientists may not be well-versed in. By addressing these challenges, BudgetML provides a solution that emphasizes speed, simplicity, and usability for developers. Although it may not cater to extensive production environments, BudgetML proves to be a valuable resource for quickly setting up a server at minimal expenses. In this way, BudgetML not only simplifies the deployment process but also allows data scientists to concentrate on refining their models rather than getting caught up in the complexities of deployment logistics. Ultimately, this makes BudgetML a practical choice for those looking to enhance their workflow and efficiency in model deployment.

Media

Media

Integrations Supported

APIFuzzer
Docker
FastAPI
Google Cloud Platform
Gunicorn
Kubernetes
OAuth
Python
Swagger
ZenML

Integrations Supported

APIFuzzer
Docker
FastAPI
Google Cloud Platform
Gunicorn
Kubernetes
OAuth
Python
Swagger
ZenML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Giotto

Company Website

giotto.readthedocs.io/en/latest/

Company Facts

Organization Name

ebhy

Company Website

github.com/ebhy/budgetml

Categories and Features

Categories and Features

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