hamilton
flet
hamilton | flet | |
---|---|---|
21 | 62 | |
1,321 | 9,220 | |
3.7% | 3.9% | |
9.8 | 9.4 | |
6 days ago | 2 days ago | |
Jupyter Notebook | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hamilton
- Show HN: Hamilton's UI – observability, lineage, and catalog for data pipelines
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Building an Email Assistant Application with Burr
Note that this uses simple OpenAI calls — you can replace this with Langchain, LlamaIndex, Hamilton (or something else) if you prefer more abstraction, and delegate to whatever LLM you like to use. And, you should probably use something a little more concrete (E.G. instructor) to guarantee output shape.
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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.
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FastUI: Build Better UIs Faster
We built an app with it -- https://blog.dagworks.io/p/building-a-lightweight-experiment. You can see the code here https://github.com/DAGWorks-Inc/hamilton/blob/main/hamilton/....
Usually we've been prototyping with streamlit, but found that at times to be clunky. FastUI still has rough edges, but we made it work for our lightweight app.
- Show HN: On Garbage Collection and Memory Optimization in Hamilton
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Facebook Prophet: library for generating forecasts from any time series data
This library is old news? Is there anything new that they've added that's noteworthy to take it for another spin?
[disclaimer I'm a maintainer of Hamilton] Otherwise FYI Prophet gels well with https://github.com/DAGWorks-Inc/hamilton for setting up your features and dataset for fitting & prediction[/disclaimer].
- Show HN: Declarative Spark Transformations with Hamilton
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Langchain Is Pointless
I had been hearing these pains from Langchain users for quite a while. Suffice to say I think:
1. too many layers of OO abstractions are a liability in production contexts. I'm biased, but a more functional approach is a better way to model what's going on. It's easier to test, wrap a function with concerns, and therefore reason about.
2. as fast as the field is moving, the layers of abstractions actually hurt your ability to customize without really diving into the details of the framework, or requiring you to step outside it -- in which case, why use it?
Otherwise I definitely love the small amount of code you need to write to get an LLM application up with Langchain. However you read code more often than you write it, in which case this brevity is a trade-off. Would you prefer to reduce your time debugging a production outage? or building the application? There's no right answer, other than "it depends".
To that end - we've come up with a post showing how one might use Hamilton (https://github.com/dagWorks-Inc/hamilton) to easily create a workflow to ingest data into a vector database that I think has a great production story. https://open.substack.com/pub/dagworks/p/building-a-maintain...
Note: Hamilton can cover your MLOps as well as LLMOps needs; you'll invariably be connecting LLM applications with traditional data/ML pipelines because LLMs don't solve everything -- but that's a post for another day.
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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:
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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.)
flet
- Python dev considering Electron vs. Kivy for desktop app UI
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FastUI: Build Better UIs Faster
> When you run flet build command it ... Packages Python app using package command of serious_python package. -- https://flet.dev/docs/guides/python/packaging-app-for-distri...
It looks like Flet is for client-side code. It lets you write Flutter apps with Python instead of Dart.
> Simple Architecture - No more complex architecture with JavaScript frontend, REST API backend, database, cache, etc. With Flet you just write a monolith stateful app in Python only and get multi-user, realtime Single-Page Application (SPA). -- https://flet.dev
If I'm writing Python that runs on the mobile device, it must talk to a server to read & write data. Doesn't this still require an API backend, database, cache, etc?
- Ask HN: Can I create a mobile and Web App using Python/Python Framework?
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Ask HN: Cross-platform GUI apps in 2024
I just learned of Flet (https://flet.dev) which seems interesting for Python. I may try this as well.
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Flutter seems to be having bad times internally
maybe check out https://flet.dev
- Release v0.11.0 · flet-dev/flet
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How to Build an Online MRZ Generator with Python, Pyodide and HTML5
When developing or selecting an MRZ (Machine Readable Zone) recognition SDK, the primary challenge lies in finding an appropriate dataset for testing. Acquiring genuine MRZ images is challenging, and due to privacy concerns, they aren't publicly accessible. Therefore, crafting MRZ images becomes a practical solution. Fortunately, there's an open-source Python MRZ generator project, available for download from pypi, eliminating the need to start from scratch. This article aims to illustrate how to integrate and run Python scripts within web applications. First, We will showcase how to employ the Python MRZ SDK and Flet to construct a cross-platform MRZ generator. Subsequently, we will reuse the Python script with Pyodide, HTML5, and the Dynamsoft JavaScript MRZ SDK, creating an advanced online MRZ tool that can handle both MRZ creation and MRZ detection.
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Flet is "The fastest way to build Flutter apps in Python" - it's not :(
"The fastest way to build Flutter apps in Python" is the title of Flet's web page. As someone coming from the Flutter world reading the line I draw an ideal picture of "swapping Dart language for Python and magically having the whole power of Flutter framework and the tips of your fingers".
- Job requires 12 years of Flutter experience.
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Python GUIs
Well I haven't seen anyone mention Flet, which is pleasant (if maybe not all that complete) if you have Dart/Flutter experience, so increment your counter at least one. :-)
https://flet.dev/
What are some alternatives?
dagster - An orchestration platform for the development, production, and observation of data assets.
kivy - Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
reflex - 🕸️ Web apps in pure Python 🐍
tree-of-thought-llm - [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
snowpark-python - Snowflake Snowpark Python API
nicegui - Create web-based user interfaces with Python. The nice way.
aipl - Array-Inspired Pipeline Language
CustomTkinter - A modern and customizable python UI-library based on Tkinter
vscode-reactive-jupyter - A simple Reactive Python Extension for Visual Studio Code
reflex-examples - A repository full of Reflex example apps.