Overview

  • stars
    1.32M

    Compared to:

    javascript
    29.9M
    python
    13.5M
    java
    12M
  • pull requests
    31k
  • forks
    565k

Currently showing stars over time for Jupyter Notebook compared with Javascript, Python, and Java.

Use the compare button to select other languages or choose a different metric from the menu on the leftabove.

Domains

Machine learning has the most code written in Jupyter Notebook at 16GB (as of Q1 2019), followed by artificial intelligence (12GB) and text analytics (2GB).

Top 3 bytes:

  1. machine learning: 16GB bytes
  2. artificial intelligence: 12GB bytes
  3. text analytics: 2GB bytes

comparing against

jupyter notebook

javascript

Contributors

Top 5 commits:

  1. jaedukseo: 31.2k commits
  2. alexwlchan: 12.3k commits
  3. brettbj: 8.27k commits
  4. sdpython: 5.7k commits
  5. dustinvtran: 5.44k commits

Jaedukseo had the most commits written in Jupyter Notebook at 31,183 (as of Q1 2019), followed by alexwlchan (12,293) and brettbj (8,271).

Top Contributors

jupyter notebook

Comparator Projects

javascript

python

java

Projects

Jaedukseo / Daily-Neural-Network-Practice-2 has the most commits among projects primarily written in Jupyter Notebook at 31,136 (as of Q1 2019), followed by wellcometrust / platform (23,194) and Hacktoberfest-2018 / Hello-world (8,807).

comparing against

jupyter notebook

javascript

Locations

Brazil wrote the most bytes in jupyter notebook at 11.3% (as of Q1 2019), followed by United Kingdom (8.4%) and South Korea (8.4%).

NOTE: excluding countries with fewer than 100 projects

Top 3 Percentage of Bytes:

  1. Brazil: 11.3% Percentage of Bytes
  2. United Kingdom: 8.4% Percentage of Bytes
  3. South Korea: 8.4% Percentage of Bytes

comparing against

Percentage of Bytes in jupyter notebook by country

Percentage of Bytes in javascript by country