10

8

6

4

2


9.8

10.0
Pandas

9.7

9.8
NumPy

9.4

10.0
SymPy

9.4

9.8
SciPy

9.2

9.0
NetworkX

9.0

9.5
statsmodels

30 Science and Data Analysis packages and projects

  • Pandas

    9.8 10.0 L2 Python
    A library providing high-performance, easy-to-use data structures and data analysis tools.

  • NumPy

    9.7 9.8 L1 C
    A fundamental package for scientific computing with Python.

  • SymPy

    9.4 10.0 L2 Python
    A Python library for symbolic mathematics.

  • SciPy

    9.4 9.8 L2 Python
    A Python-based ecosystem of open-source software for mathematics, science, and engineering.

  • NetworkX

    9.2 9.0 L3 Python
    A high-productivity software for complex networks.

  • statsmodels

    9.0 9.5 L3 Python
    Statistical modeling and econometrics in Python.

  • PyMC

    8.8 9.0 L4 Python
    Markov Chain Monte Carlo sampling toolkit.

  • Numba

    8.6 9.9 L3 Python
    Python JIT (just in time) compiler to LLVM aimed at scientific Python by the developers of Cython and NumPy.

  • Dask

    8.5 9.5 L2 Python
    Versatile parallel programming with task scheduling

  • astropy

    8.2 9.9 L2 Python
    A community Python library for Astronomy.

  • Biopython

    8.0 9.8 L2 Python
    Biopython is a set of freely available tools for biological computation.

  • blaze

    7.9 1.4 L4 Python
    NumPy and Pandas interface to Big Data.

  • orange

    7.6 9.7 L2 Python
    Data mining, data visualization, analysis and machine learning through visual programming or Python scripting.

  • Interactive Parallel Computing with IPython

    7.2 4.3 L3 Python
    Interactive Parallel Computing in Python

  • Cubes

    6.1 3.4 L3 Python
    Light-weight Python OLAP framework for multi-dimensional data analysis

  • RDKit

    6.0 9.2 L1 C++
    Cheminformatics and Machine Learning Software.

  • Open Mining

    5.8 0.0 L3 Python
    Business Intelligence (BI) in Python (Pandas web interface)

  • bcbio-nextgen

    5.5 9.3 L3 Python
    A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.

  • NIPY

    5.3 9.5 L3 Python
    A collection of neuroimaging toolkits.

  • bcolz

    4.7 4.0 Jupyter Notebook
    A columnar data container that can be compressed.

  • bccb

    4.6 2.2 L4 Python
    Collection of useful code related to biological analysis.

  • Neupy

    4.5 2.1 L5 Python
    Running and testing different Artificial Neural Networks algorithms.

  • Bubbles

    3.6 0.0 L5 Python
    A Python ETL framework

  • PyDy

    3.1 8.3 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.

  • ElasticBatch

    0.8 7.2 Python
    Easy Elasticsearch inserts for data processing workflows

  • dask-memusage

    0.6 0.0 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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