# The kernel appears to have died. It will restart automatically.

**Code:** `Jupyter kernel died` · **Category:** Python · **Seen on:** Python

The Jupyter kernel process crashed — usually out of memory or a native library crash.

## Meaning

Large DataFrames/models exceeding RAM, segfaults in C extensions (TensorFlow, PyTorch builds), or incompatible library versions kill the kernel without a Python traceback.

## Common causes

- Out of memory
- Native extension crash / incompatible binary
- CPU instruction set unsupported by a library build

## Quick fix

1. Watch memory and reduce data size
2. Run the cell as a script to see the real error
3. Reinstall/upgrade the crashing library in the same environment

## Detailed fix by platform

### Python

1. `python -X faulthandler script.py` shows where a native crash happens

## How to diagnose

1. **Memory** — Does RAM spike before the crash?
2. **Isolation** — Which import/cell triggers it?

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Source: [WhatIsMyError](https://whatismyerror.com/errors/python/jupyter-kernel-died)