Python libraries for data visualisation, data analysis and scientific computing

Python libraries for data visualisation, data analysis and scientific computing mainly used for Big Data.

Libraries for Data Visualization

  • matplotlib – A Python 2D plotting library.
  • bokeh – Interactive Web Plotting for Python.
  • ggplot – Same API as ggplot2 for R.
  • plotly – Collaborative web plotting for Python and matplotlib.
  • pygal – A Python SVG Charts Creator.
  • pygraphviz – Python interface to Graphviz.
  • PyQtGraph – Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
  • SnakeViz – A browser based graphical viewer for the output of Python’s cProfile module.
  • vincent – A Python to Vega translator.
  • VisPy – High-performance scientific visualization based on OpenGL.

Libraries for Scientific Computing and Data Analysis

  • astropy – A community Python library for Astronomy.
  • bcbio-nextgen – A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.
  • bccb – Collection of useful code related to biological analysis.
  • Biopython – Biopython is a set of freely available tools for biological computation.
  • blaze – NumPy and Pandas interface to Big Data.
  • cclib – A library for parsing and interpreting the results of computational chemistry packages.
  • NetworkX – A high-productivity software for complex networks.
  • Neupy – Running and testing different Artificial Neural Networks algorithms.
  • NIPY – A collection of neuroimaging toolkits.
  • Numba – Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.
  • NumPy – A fundamental package for scientific computing with Python.
  • Open Babel – A chemical toolbox designed to speak the many languages of chemical data.
  • Open Mining – Business Intelligence (BI) in Python (Pandas web interface)
  • orange – Data mining, data visualization, analysis and machine learning through visual programming or Python scripting.
  • Pandas – A library providing high-performance, easy-to-use data structures and data analysis tools.
  • PyDy – Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
  • PyMC – Markov Chain Monte Carlo sampling toolkit.
  • RDKit – Cheminformatics and Machine Learning Software.
  • SciPy – A Python-based ecosystem of open-source software for mathematics, science, and engineering.
  • statsmodels – Statistical modeling and econometrics in Python.
  • SymPy – A Python library for symbolic mathematics.
  • zipline – A Pythonic algorithmic trading library.

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