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fabricksalkemy

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We've built a solution to the practical challenges and pitfalls of machine learning projects - alkemy is a Python framework delivering accessibility and flexibility at every stage of the machine learning (ML) lifecycle.

how it works

alkemy - how it works diagram

fabricks alkemy removes critical blockers and keeps your ML project oriented towards delivering value

Data scientists have an ecosystem of data analysis and ML libraries at their fingertips, making it easy to hack together a dataset and establish a baseline; but very quickly they find themselves spending time on everything but data science.

strategy

Fabricks alkemy provides a framework for aligning model development with critical company objectives.

visibility

Fabricks alkemy captures the data you need to benchmark modeling experiments, monitor production performance, and keep stakeholders informed.

accessibility

Fabricks alkemy steers users towards simplicity with a structured approach for each stage of the ML lifecycle.

integration

Sync model outputs and project state to your data warehouse and orchestrate workflows with Fabricks alkemy plugins for apache airflow.

flexibility

Seasoned ML pros are free to think outside the box and manage the tradeoffs of complexity as they see fit.

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