nexo
ipyflow
Our great sponsors
nexo | ipyflow | |
---|---|---|
2 | 20 | |
6 | 1,073 | |
- | 1.8% | |
10.0 | 9.5 | |
almost 2 years ago | 22 days ago | |
Haskell | Python | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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.
nexo
-
Excel Labs, a Microsoft Garage Project
> It would be great to hear from the HN community about ways to improve spreadsheets.
I’m working on this! Early days so far, and I have nothing much to show for it yet, but I have some ideas on integrating static type inference and proper data structures into spreadsheets. My initial prototype is at [0]: it’s horrifically buggy in just about every way (don’t even try to get it working!), but the screenshot should give some idea of what I’m thinking should be possible.
[0] https://github.com/bradrn/nexo
-
The World Cup of Microsoft Excel
There’s Inflex [0], which has a very interesting (and I think better) approach to spreadsheets. I’ve also been working independently on a similar idea [1], though it’s early days yet and I’m still busy figuring out the how to build it in a principled way. The Inflex website also has a really nice bibliography [2] with a fairly complete catalogue of what else has been done in this space.
[0] https://chrisdone.com/posts/inflex/
[1] https://github.com/bradrn/nexo
[2] https://chrisdone.com/posts/inflex-bibliography/
ipyflow
-
Show HN: Marimo – an open-source reactive notebook for Python
You're probably referring to nbgather (https://github.com/microsoft/gather), which shipped with VSCode for a while.
nbgather used static slicing to get all the code necessary to reconstruct some cell. I actually worked with Andrew Head (original nbgather author) and Shreya Shankar to implement something similar in ipyflow (but with dynamic slicing and a not-as-nice interface): https://github.com/ipyflow/ipyflow?tab=readme-ov-file#state-...
I have no doubt something like this will make its way into marimo's roadmap at some point :)
-
React Jam just started, making a game in 13 days with React
Np.
From https://news.ycombinator.com/context?id=35887168 re: ipyflow I learned about ReactiveX for Python (RxPY) https://rxpy.readthedocs.io/en/latest/ .
https://github.com/ipyflow/ipyflow :
> IPyflow is a next-generation Python kernel for Jupyter and other notebook interfaces that tracks dataflow relationships between symbols and cells during a given interactive session, thereby making it easier to reason about notebook state.
FWIU e.g. panda3d does not have a react or rxpy-like API, but probably does have a component tree model?
https://news.ycombinator.com/item?id=38527552 :
>> It actually looks like pygame-web (pygbag) supports panda3d and harfang in WASM
> Harfang and panda3d do 3D with WebGL, but FWIU not yet agents in SSBO/VBO/GPUBuffer
-
The GitHub Black Market That Helps Coders Cheat the Popularity Contest
> Another giveaway is the ratio of stars to watchers / forks. I remember one project with thousands of stars but only 10 users "watching" it. They went on to raise a sizable seed round too.
Not necessarily indicative of foul play. I have two projects like this (https://github.com/smacke/ffsubsync and https://github.com/ipyflow/ipyflow) and I attribute it to not having great developer documentation.
-
Python 3.12
It's not in the highlights, but one of the things that excites me most is this: https://docs.python.org/dev/whatsnew/3.12.html#pep-669-low-i...
> PEP 669 defines a new API for profilers, debuggers, and other tools to monitor events in CPython. It covers a wide range of events, including calls, returns, lines, exceptions, jumps, and more. This means that you only pay for what you use, providing support for near-zero overhead debuggers and coverage tools. See sys.monitoring for details.
Low-overhead instrumentation opens up a whole bunch of interesting interactive use cases (i.e. Jupyter etc.), and as the author of one library that relies heavily on instrumentation (https://github.com/ipyflow/ipyflow), I'm very keen to explore the possibilities here.
- Excel Labs, a Microsoft Garage Project
- GitHub - ipyflow/ipyflow: A reactive Python kernel for Jupyter notebooks
-
IPython kernel alternatives
You’re looking for reactive kernels: https://github.com/ipyflow/ipyflow
- IPyflow: Reactive Python Notebooks in Jupyter(Lab)
What are some alternatives?
elyra - Elyra extends JupyterLab with an AI centric approach.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
osxphotos - Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata.
nopdb - NoPdb: Non-interactive Python Debugger
subtls - A proof-of-concept TypeScript TLS 1.3 client
quarto-cli - Open-source scientific and technical publishing system built on Pandoc.
bokeh - Interactive Data Visualization in the browser, from Python
ffsubsync - Automagically synchronize subtitles with video.
nbdev - Create delightful software with Jupyter Notebooks
tripods-web - A puzzle game.
cytoflow - A Python toolbox for quantitative, reproducible flow cytometry analysis
Pluto.jl - 🎈 Simple reactive notebooks for Julia