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Ploomber is a cloud platform to deploy AI, Machine Learning and data applications. Deploy with drag and drop, or via Git.

Deploy apps from any framework with enterprise-grade features. Ploomber offers seamless authentication, custom domains, real-time analytics, and support for Streamlit, Dash, Docker, and more. Secure, flexible, and powerful deployment solutions for businesses.

Ploomber is the fastest way to build data pipelines ⚡️. Use your favorite editor (Jupyter, VSCode, PyCharm) to develop interactively and deploy ☁️ without code changes (Kubernetes, Airflow, AWS Batch, and SLURM). Do you have legacy notebooks? Refactor them into modular pipelines with a single command. Compatible with Python 3.7 and higher.

Dec 7, 2023 · With Ploomber Cloud, you can enjoy a platform where AI/ML applications can be deployed with minimal hassle. Here’s a comprehensive guide to getting started with Ploomber Cloud and leveraging its deployment capabilities, including its CLI and integration with GitHub for continuous deployment.

Ploomber Cloud simplifies the deployment of AI/ML applications, eliminating the need for complex infrastructure management. With its easy setup, API key access, and seamless integration with GitHub Actions, deploying and updating your applications has never been easier.

Ploomber Cloud supports many features to help you build Streamlit applications quickly! By default applications run with Python 3.11. Refer to this section for customized deployments. Here is a sample Docker-based Streamlit application. Deploy a …

Deploy apps from any framework with enterprise-grade features. Ploomber offers seamless authentication, custom domains, real-time analytics, and support for Streamlit, Dash, Docker, and more. Secure, flexible, and powerful deployment solutions for businesses.

Ploomber Cloud supports many features to help you build Streamlit applications quickly! Integration with GitHub. Safely store secrets such as API keys. Usage analytics such as unique visitors, total requests, etc. Spin up larger resources (CPUs and RAM) Spin up GPUs. Add custom domains or subdomains to your application

You can also deploy from the terminal or GitHub. 1. Click on “Applications” -> “New” # 2. Fill out the form # 3. Wait for the deployment to finish # You’ll see two tabs. First, you’ll see the DOCKER LOGS, which show the progress of installing your applications’s dependencies: You can track progress completion from the status bar: