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A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spar...

Which is more popular?
Based on our record, Hamilton seems to be more popular. It has been mentioned 7 times since March 2021.
Website, pricing, platforms and company facts side by side.
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What each product offers, as listed by its team.


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Share your experience with using Hamilton and Codegres.org. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Yep. When I was designing https://github.com/dagworks-inc/hamilton part of the idea was to make it easy to understand what and where. That is, enable one to grep for function... - Source: Hacker News / about 2 years ago
Graph-based libraries for building ML/AI systems: - Burr -- build AI applications/agents as state machines https://github.com/dagworks-inc/burr Looking for feedback -- we had some good initial traction on HN, and are looking for OS... - Source: Hacker News / about 2 years ago
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... - Source: Hacker News / over 2 years ago
Tracking Codegres.org since Nov 2022.
When comparing Hamilton and Codegres.org, you can also consider the following products.

Framework for real-life data science; build, improve, and operate end-to-end workflows.
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Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Compare Jupyter to Hamilton or Codegres.org:



⚡A polyglot tool for code searching, linting, rewriting!
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