The fundamental package for scientific computing with Python.
- numpy
- python
Repository Index
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Faker is a Python package that generates fake data for you.
Jupyter metapackage for installation and documentation
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
- ipyleaflet
- folium
- mapping
- python
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
- pandas
- pandas-dataframe
- parallel-computing
- parallelization
Clean APIs for data cleaning. Python implementation of R package Janitor
- pandas
- dataframe
- data
- cleaning-data
Python package for graph statistics
- graph
- data-science
- networks
- python
A Python package to visualise neuroanatomical data in atlas space
- neuroscience
- python
- anatomy
- visualization
Visualization Package for NetworkX
- network-visualization
- networkx
- network
- visualization
A python package for animating plots build on matplotlib.
- plotting
- animation
- data-visualization
- python
python package for acoustics research
- digital-signal-processing
- plotting
- audio-in-out
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
- feature-engineering
- transformers
- pre-processing
- data-science
Replication package of the paper titled "How do you Architect your Robots? State of the Practice and Guidelines for ROS-based Systems" published at ICSE-SEIP 2020
Opinionated typing package for precise type hints in Python
- pep484
- python
- python-typing
- numpy
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
- art-history
- color-analysis
- color-extraction
- color-palette