Need advice about which tool to choose?Ask the StackShare community!
Add tool
ipython vs jupyter: What are the differences?
Developers describe ipython as "IPython: Productive Interactive Computing". IPython: Productive Interactive Computing. On the other hand, jupyter is detailed as "Jupyter metapackage". Jupyter metapackage. Install all the Jupyter components in one go.
ipython and jupyter belong to "PyPI Packages" category of the tech stack.
ipython is an open source tool with 14.8K GitHub stars and 4.17K GitHub forks. Here's a link to ipython's open source repository on GitHub.
ipython Stats
- Dependent Packages Counts - 249
jupyter Stats
- Dependent Packages Counts - 7
ipython Vulnerabilities
- Execution with Unnecessary Privileges in ipythonHigh
- IPython vulnerable to cross site request forgery (CSRF)High
- IPython Notebook vulnerable to improper validation of the origin of websocket requestsModerate
jupyter Vulnerabilities
No Vulnerabilities found
ipython Release info
Latest version
8.15.0
BSD-3-Clause
jupyter Release info
Latest version
1.0.0
BSD-3-Clause
- No public GitHub repository available -
What is ipython?
IPython: Productive Interactive Computing.
What is jupyter?
Jupyter metapackage. Install all the Jupyter components in one go.
Need advice about which tool to choose?Ask the StackShare community!
What companies use ipython?
What companies use jupyter?
What companies use ipython?
See which teams inside your own company are using ipython or jupyter.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What are some alternatives to ipython and jupyter?
requests
Python HTTP for Humans.
numpy
NumPy is the fundamental package for array computing with Python.
six
Python 2 and 3 compatibility utilities.
pytest
Pytest: simple powerful testing with Python.
pandas
Powerful data structures for data analysis, time series, and statistics.