Hamilton mentions (5)

• Show HN: Hamilton's UI – observability, lineage, and catalog for data pipelines

  Hey HN – Stefan and Elijah here from DAGWorks (http://dagworks.io/), we’re the authors of Hamilton (https://github.com/dagworks-inc/hamilton), an open-source library for building self-documenting, modular dataflows in python that works for data, ML, LLM pipelines, & even web-workflows. We’ve been developing this UI for a while and we’re excited to say we... - Source: Hacker News / about 1 month ago

• Using IPython Jupyter Magic commands to improve the notebook experience

  In this post, we’ll show how your team can turn any utility function(s) into reusable IPython Jupyter magics for a better notebook experience. As an example, we’ll use Hamilton, my open source library, to motivate the creation of a magic that facilitates better development ergonomics for using it. You needn’t know what Hamilton is to understand this post. - Source: dev.to / 3 months ago

• Free access to beta product I'm building that I'd love feedback on

  This is me. I drive an open source library Hamilton that people doing time-series/ML work love to use. I'm building a paid product around it at DAGWorks, and I'm after feedback on our current version. Can I entice anyone to:. Source: about 1 year ago

• IPyflow: Reactive Python Notebooks in Jupyter(Lab)

  From a nuts and bolts perspective, I've been thinking of building some reactivity on top of https://github.com/dagworks-inc/hamilton (author here) that could get at this. (If you have a use case that could be documented, I'd appreciate it.). - Source: Hacker News / about 1 year ago

• Needs advice for choosing tools for my team. We use AWS.

  Otherwise, I'm biased here, but check out https://github.com/dagworks-inc/hamilton - it could be your universal layer that expresses how things should flow, that is orchestration system agnostic, which would make it easy to migrate between systems easily. Source: about 1 year ago

Hamiltowned mentions (0)