Jupyter
Fewer than 5 people recommend it so far, so there's no written verdict. Here is what commenters said.
Why people recommend it
“numpy/scipy/matplotlib/pandas/plotly/polars/pyarrow/jupyter, which is essential to my work”
“3) does exploratory work (Jupyter notebooks).”
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“I love jupyter, but generally feel like having to run a server is the downside.”
“I love notebooks, I use them all the time for teaching, writing (all of my books are written in notebooks), EDA, model development”
Caveats and dissent
“I get annoyed when working with them using agents.”
“the issue is with jupyter notebooks because they keep some of the data in the output”
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“Jupyter+conda/anaconda is almost always not installable and broken for most of its kernels”
Often compared with
Who recommends it in their own words
Threads where it came up
- Deepnote, a Jupyter alternative, is going open source 3 mentions
- Show HN: Ledge.sh – Runnable Markdown Notes 2 mentions
- DuckDB 2.0.0 LTS “Cinnamon Teal” 1 mention
- Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite 1 mention
- Running Gemma 4 26B at 5 tokens/SEC on a 13-year-old Xeon with no GPU 1 mention
- Show HN: I'm tracking 197 known exposures of health data from UK Biobank 1 mention
Also written as Jupyter Notebook. Data: jupyter.json. Quotes are verbatim; the verdict and theme labels are written by a model from these comments, and every clause links to its sources.
All comments 16
“I used Python scripts in Jupyter to load Excel sheets into DuckDB”
“Here I am using it as frontend to Jupyter and ollama [2].”
“I get annoyed when working with them using agents.”
“I run some Jupyter notebooks against a local Postgres realestate db to do statistical analysis.”
“I just leave it in my basement for local Jupyter Notebook stuff.”
“the issue is with jupyter notebooks because they keep some of the data in the output”
“before I migrated to Python/Jupyter Notebook ecosystem”
“jupyter with gpu accel (on rocm not nvidia which is what you mostly come across)”
“I used to have the original quote as the first cell in my every Jupyter notebook.”
“I use the normal stacks you'd expect. Python, Pytorch, Spark/ray, Jupyter/Merimo, AWS, Postgres, Mathematica”
“numpy/scipy/matplotlib/pandas/plotly/polars/pyarrow/jupyter, which is essential to my work”
“Jupyter+conda/anaconda is almost always not installable and broken for most of its kernels”
“3) does exploratory work (Jupyter notebooks).”
“I love jupyter, but generally feel like having to run a server is the downside.”
I do think notebooks are very flawed right now even if the concept is sound. Right now they are essentially an IDE without the ability to produce publishable output (you are literally expected to ship the project in the form the IDE works with) and they are not a very good IDE at that. They need reliable dedicated published output fit for general public consumption. This means a static (no backend host required) shar
“I love notebooks, I use them all the time for teaching, writing (all of my books are written in notebooks), EDA, model development”