Ploomber — Automate Data Science Pipelines

Ploomber is an open-source pipeline framework for data scientists to deploy code from notebooks to production.

Ploomber is an open-source framework that automates the transition from data science notebooks to production-ready pipelines. This tool is designed for data scientists and machine learning engineers who need to deploy models without manually rewriting experimental code into complex production scripts. By integrating directly with existing environments, Ploomber ensures that your data exploration and model training stay organized and reproducible from day one. The platform allows teams to maintain their preferred workflow in Jupyter, VS Code, or PyCharm while generating scalable pipelines in the background. Ploomber handles the dependency management and execution logic, ensuring that tasks run in the correct order and only re-run when necessary. This modular approach reduces technical debt and allows business owners to scale their data operations without hiring additional DevOps resources. Businesses can leverage Ploomber to accelerate their time-to-market for AI-driven products by simplifying cloud deployment. Verified on surfai.app, this framework supports multiple cloud providers and helps teams transition from local development to production environments like Kubernetes or AWS Batch. It eliminates the friction between data discovery and actual business application, making it easier to maintain high-quality data products. Ploomber offers a robust open-source version for individual developers and small teams. For larger organizations requiring cloud-hosted solutions and enterprise-grade support, specialized plans are available to manage large-scale data infrastructures.

• Pricing: freemium

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