Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Deploy your machine learning model in the cloud within minutes using a consolidated packaging format that supports both online and offline operations across various platforms. Experience a performance boost with throughput that is 100 times greater than traditional flask-based model servers, achieved through our innovative micro-batching technique. Provide exceptional prediction services that align seamlessly with DevOps practices and integrate effortlessly with widely-used infrastructure tools. The unified deployment format ensures high-performance model serving while incorporating best practices for DevOps. This service utilizes the BERT model, which has been trained with the TensorFlow framework to effectively gauge the sentiment of movie reviews. Our BentoML workflow eliminates the need for DevOps expertise, automating everything from prediction service registration to deployment and endpoint monitoring, all set up effortlessly for your team. This creates a robust environment for managing substantial ML workloads in production. Ensure that all models, deployments, and updates are easily accessible and maintain control over access through SSO, RBAC, client authentication, and detailed auditing logs, thereby enhancing both security and transparency within your operations. With these features, your machine learning deployment process becomes more efficient and manageable than ever before.
Description
Ignite serves as a foundational framework for launching new Flask applications by managing essential boilerplate elements, such as user authentication, OAuth, team functionalities, and billing systems, which lets developers concentrate on application creation. It adheres to the best practices associated with contemporary Flask development and features an administrative dashboard for managing data and monitoring sales. Users can easily log in or register using various platforms, including Google, Twitter, and Facebook. With Ignite, you can quickly establish a production-ready SaaS that generates revenue. Additionally, Fullstack Flask offers an extensive online course that allows individuals to learn at their own pace while constructing a fully operational web application from the ground up using Python and Flask. The course encompasses a wide range of topics, focusing on both backend and frontend development, such as user authentication, PostgreSQL database integration, and Stripe payment processing, all culminating in deployment to live production settings. This comprehensive learning experience not only equips participants with the technical skills needed but also empowers them to successfully navigate the process of creating a profitable web application.
API Access
Has API
No
API Access
Has API
No
Integrations
Heroku
Yes
AWS Lambda
Yes
Amazon SageMaker
Yes
Apache Airflow
Yes
Azure Container Registry
Yes
Facebook
No
Google
No
Google Cloud Run
Yes
Grafana Cloud
Yes
Knative
Yes
Integrations
Heroku
Yes
AWS Lambda
No
Amazon SageMaker
No
Apache Airflow
No
Azure Container Registry
No
Facebook
Yes
Google
Yes
Google Cloud Run
No
Grafana Cloud
No
Knative
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$149 one-time payment
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
BentoML
Country
United States
Website
www.bentoml.com
Vendor Details
Company Name
newline
Founded
2014
Country
United States
Website
www.newline.co/fullstack-flask
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No