Ipython Open Source Projects
Browse 309 Ipython open source projects, ranked by GitHub stars. Find the most popular Ipython tools and libraries.
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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| Stars | 24,747 |
ipython/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
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| Stars | 16,749 |
powerline/powerline
Powerline is a statusline plugin for vim, and provides statuslines and prompts for several other applications, including zsh, bash, tmux, IPython, Awesome and Qtile.
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| Stars | 14,787 |
dbcli/pgcli
Postgres CLI with autocompletion and syntax highlighting
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| Stars | 13,306 |
jupyter/notebook
Jupyter Interactive Notebook
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| Stars | 13,249 |
theskumar/python-dotenv
Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
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| Stars | 8,826 |
jupyter/docker-stacks
Ready-to-run Docker images containing Jupyter applications
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| Stars | 8,446 |
jupyterhub/jupyterhub
Multi-user server for Jupyter notebooks
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| Stars | 8,321 |
conda/conda
A system-level, binary package and environment manager running on all major operating systems and platforms.
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| Stars | 7,474 |
jvns/pandas-cookbook
Recipes for using Python's pandas library
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| Stars | 7,090 |
davidhalter/jedi
Awesome autocompletion, static analysis and refactoring library for python
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| Stars | 6,167 |
tonsky/AnyBar
OS X menubar status indicator
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| Stars | 6,034 |
man-group/dtale
Visualizer for pandas data structures
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| Stars | 5,189 |
coodict/python3-in-one-pic
Learn python3 in one picture.
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| Stars | 5,007 |
markusschanta/awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
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| Stars | 4,646 |
rasbt/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
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| Stars | 4,212 |
nteract/hydrogen
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
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| Stars | 4,015 |
rasbt/python_reference
Useful functions, tutorials, and other Python-related things
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| Stars | 3,892 |
damianavila/RISE
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
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| Stars | 3,738 |
bqplot/bqplot
Plotting library for IPython/Jupyter notebooks
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| Stars | 3,693 |
jrjohansson/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
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| Stars | 3,643 |
rkern/line_profiler
(OLD REPO) Line-by-line profiling for Python - Current repo ->
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| Stars | 3,590 |
sloria/doitlive
Because sometimes you need to do it live
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| Stars | 3,571 |
inducer/pudb
Full-screen console debugger for Python
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| Stars | 3,248 |
pyutils/line_profiler
Line-by-line profiling for Python
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| Stars | 3,244 |
manrajgrover/halo
💫 Beautiful spinners for terminal, IPython and Jupyter
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| Stars | 3,025 |
nborwankar/LearnDataScience
Open Content for self-directed learning in data science
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| Stars | 2,983 |
JuliaLang/IJulia.jl
Julia kernel for Jupyter
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| Stars | 2,894 |
joouha/euporie
Jupyter notebooks in the terminal
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| Stars | 2,611 |
jdwittenauer/ipython-notebooks
A collection of IPython notebooks covering various topics.
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| Stars | 2,593 |
mpld3/mpld3
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
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| Stars | 2,412 |
randy3k/radian
A 21 century R console
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| Stars | 2,282 |
n-riesco/ijavascript
IJavascript is a javascript kernel for the Jupyter notebook
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| Stars | 2,259 |
strawlab/python-pcl
Python bindings to the pointcloud library (pcl)
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| Stars | 2,056 |
CITGuru/PyInquirer
A Python module for common interactive command line user interfaces
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| Stars | 1,997 |
jupyter-lsp/jupyterlab-lsp
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
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| Stars | 1,997 |
gotcha/ipdb
Integration of IPython pdb
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| Stars | 1,975 |
jakevdp/sklearn_tutorial
Materials for my scikit-learn tutorial
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| Stars | 1,830 |
catherinedevlin/ipython-sql
%%sql magic for IPython, hopefully evolving into full SQL client
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| Stars | 1,797 |
Roshanson/TextInfoExp
自然语言处理实验(sougou数据集),TF-IDF,文本分类、聚类、词向量、情感识别、关系抽取等
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| Stars | 1,733 |
jadianes/spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
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| Stars | 1,658 |
ogrisel/parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
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| Stars | 1,590 |
DrSkippy/Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
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| Stars | 1,585 |
julienr/ipynb_playground
Various ipython notebooks
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| Stars | 1,552 |
kynan/nbstripout
strip output from Jupyter and IPython notebooks
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| Stars | 1,472 |
stephencwelch/Neural-Networks-Demystified
Supporting code for short YouTube series Neural Networks Demystified.
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| Stars | 1,361 |
cknd/stackprinter
Debugging-friendly exceptions for Python
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| Stars | 1,300 |
dongweiming/web_develop
《Python Web开发实战》书中源码
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| Stars | 1,238 |
WestHealth/pyvis
Python package for creating and visualizing interactive network graphs.
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| Stars | 1,200 |
balzer82/Kalman
Some Python Implementations of the Kalman Filter
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| Stars | 1,141 |
Auquan/Tutorials
Ipython notebooks for math and finance tutorials
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| Stars | 1,119 |
8080labs/pyforest
pyforest - feel the bliss of automated imports
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| Stars | 1,119 |
catboost/tutorials
CatBoost tutorials repository
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| Stars | 1,107 |
brandon-rhodes/pycon-pandas-tutorial
PyCon 2015 Pandas tutorial materials
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| Stars | 1,074 |
avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
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| Stars | 1,042 |
ivanov/vim-ipython
A two-way integration between Vim and IPython 0.11+
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| Stars | 1,041 |
csurfer/pyheatmagic
IPython magic command to profile and view your python code as a heat map.
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| Stars | 1,031 |
vizzuhq/ipyvizzu
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
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| Stars | 970 |
ipython-books/cookbook-code
[DEPRECATED] See the new edition:
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| Stars | 966 |
agconti/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
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| Stars | 961 |
