10

8

6

4

2


9.8

9.9
Pandas

9.6

9.8
NumPy

9.3

10.0
SymPy

9.3

9.7
SciPy

9.1

8.7
NetworkX

8.9

9.6
statsmodels

29 Science and Data Analysis packages and projects

  • Pandas

    9.8 9.9 L2 Python
    A library providing high-performance, easy-to-use data structures and data analysis tools.

  • NumPy

    9.6 9.8 L1 C
    A fundamental package for scientific computing with Python.

  • SymPy

    9.3 10.0 L2 Python
    A Python library for symbolic mathematics.

  • SciPy

    9.3 9.7 L2 Python
    A Python-based ecosystem of open-source software for mathematics, science, and engineering.

  • NetworkX

    9.1 8.7 L3 Python
    A high-productivity software for complex networks.

  • statsmodels

    8.9 9.6 L3 Python
    Statistical modeling and econometrics in Python.

  • PyMC

    8.7 9.2 L4 Python
    Markov Chain Monte Carlo sampling toolkit.

  • Dask

    8.5 9.5 L2 Python
    Versatile parallel programming with task scheduling

  • Numba

    8.4 9.9 L3 Python
    Python JIT (just in time) compiler to LLVM aimed at scientific Python by the developers of Cython and NumPy.

  • astropy

    8.0 9.8 L2 Python
    A community Python library for Astronomy.

  • blaze

    7.8 0.0 L4 Python
    NumPy and Pandas interface to Big Data.

  • Biopython

    7.8 9.5 L2 Python
    Biopython is a set of freely available tools for biological computation.

  • orange

    7.3 9.7 L2 Python
    Data mining, data visualization, analysis and machine learning through visual programming or Python scripting.

  • Interactive Parallel Computing with IPython

    6.8 6.0 L3 Python
    Interactive Parallel Computing in Python

  • Cubes

    6.1 3.6 L3 Python
    Light-weight Python OLAP framework for multi-dimensional data analysis

  • Open Mining

    5.7 0.0 L3 Python
    Business Intelligence (BI) in Python (Pandas web interface)

  • bcbio-nextgen

    5.3 9.4 L3 Python
    A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.

  • RDKit

    5.3 9.1 L1 C++
    Cheminformatics and Machine Learning Software.

  • NIPY

    5.1 9.2 L3 Python
    A collection of neuroimaging toolkits.

  • bcolz

    4.7 3.7 Jupyter Notebook
    A columnar data container that can be compressed.

  • bccb

    4.5 5.4 L4 Python
    Collection of useful code related to biological analysis.

  • Neupy

    4.2 9.1 L5 Python
    Running and testing different Artificial Neural Networks algorithms.

  • Bubbles

    3.6 0.0 L5 Python
    A Python ETL framework

  • PyDy

    2.9 6.2 L3 Python
    Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.

  • harold

    1.7 7.8 L2 Python
    An MIT licensed systems and controls toolbox for Python.

  • signac

    1.0 8.5 Python
    Manage large and heterogeneous data spaces on the file system.

  • cclib

    0.9 2.1
    A library for parsing and interpreting the results of computational chemistry packages.

  • dask-memusage

    0.5 3.8 Python
    A low-impact profiler to figure out how much memory each task in Dask is using

  • Open Babel

    - -
    A chemical toolbox designed to speak the many languages of chemical data.
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