PatZilla alternatives and similar packages

Based on the "Science and Data Analysis" category.
Alternatively, view PatZilla alternatives based on common mentions on social networks and blogs.

• Pandas

  9.8 10.0 L2 PatZilla VS Pandas

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

• NumPy

  9.7 9.9 L1 PatZilla VS NumPy

  A fundamental package for scientific computing with Python.
  

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• SymPy

  9.4 9.9 L2 PatZilla VS SymPy

  A Python library for symbolic mathematics.
  

• SciPy

  9.4 9.8 L2 PatZilla VS SciPy

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

• NetworkX

  9.3 9.3 L3 PatZilla VS NetworkX

  A high-productivity software for complex networks.
  

• statsmodels

  9.1 9.4 L3 PatZilla VS statsmodels

  Statistical modeling and econometrics in Python.
  

• Dask

  9.1 9.4 L2 PatZilla VS Dask

  Versatile parallel programming with task scheduling
  

• PyMC

  8.8 9.2 L4 PatZilla VS PyMC

  Markov Chain Monte Carlo sampling toolkit.
  

• Numba

  8.7 9.9 L3 PatZilla VS Numba

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

• Biopython

  8.1 9.5 L2 PatZilla VS Biopython

  Biopython is a set of freely available tools for biological computation.
  

• astropy

  8.1 9.8 L2 PatZilla VS astropy

  A community Python library for Astronomy.
  

• orange

  7.7 9.7 L2 PatZilla VS orange

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

• blaze

  7.5 0.0 L4 PatZilla VS blaze

  NumPy and Pandas interface to Big Data.
  

• Interactive Parallel Computing with IPython

  7.3 4.1 L3 PatZilla VS Interactive Parallel Computing with IPython

  Interactive Parallel Computing in Python
  

• RDKit

  6.4 9.4 L1 PatZilla VS RDKit

  Cheminformatics and Machine Learning Software.
  

• Cubes

  6.2 0.0 L3 PatZilla VS Cubes

  Light-weight Python OLAP framework for multi-dimensional data analysis
  

• Open Mining

  5.8 0.0 L3 PatZilla VS Open Mining

  Business Intelligence (BI) in Python (Pandas web interface)
  

• bcbio-nextgen

  5.5 8.9 L3 PatZilla VS bcbio-nextgen

  A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.
  

• NIPY

  5.3 7.9 L3 PatZilla VS NIPY

  A collection of neuroimaging toolkits.
  

• bcolz

  4.8 0.4 PatZilla VS bcolz

  A columnar data container that can be compressed.
  

• bccb

  4.5 0.0 L4 PatZilla VS bccb

  Collection of useful code related to biological analysis.

• Neupy

  4.4 0.0 L5 PatZilla VS Neupy

  Running and testing different Artificial Neural Networks algorithms.

• Bubbles

  3.7 0.0 L5 PatZilla VS Bubbles

  A Python ETL framework

• PyDy

  3.2 7.9 L3 PatZilla VS PyDy

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

• harold

  2.1 2.5 L2 PatZilla VS harold

  An MIT licensed systems and controls toolbox for Python.

• signac

  1.8 8.9 PatZilla VS signac

  Manage large and heterogeneous data spaces on the file system.
  

• LynxKite

  1.6 8.7 PatZilla VS LynxKite

  The complete graph data science platform
  

• Kotori

  1.5 7.2 PatZilla VS Kotori

  A data historian based on InfluxDB, Grafana, MQTT and more. Free, open, simple.
  

• Terkin

  1.4 6.2 PatZilla VS Terkin

  A flexible data logger for MicroPython and CPython.
  

• cclib

  0.9 PatZilla VS cclib

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

• dask-memusage

  0.7 2.2 PatZilla VS dask-memusage

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

• ElasticBatch

  0.7 0.0 PatZilla VS ElasticBatch

  Easy Elasticsearch inserts for data processing workflows

• Open Babel

  - PatZilla VS Open Babel

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

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.

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Popular Comparisons

• PatZilla
  vs
  Pandas
• PatZilla
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  Dask
• PatZilla
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  SymPy
• PatZilla
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  NumPy
• PatZilla
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  NetworkX

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