blaze alternatives and related packages

Based on the "Science and Data Analysis" category

• Pandas

  9.8 9.9 L2 blaze VS Pandas

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

• NumPy

  9.6 9.8 L1 blaze VS NumPy

  A fundamental package for scientific computing with Python.

• SymPy

  9.3 9.9 L2 blaze VS SymPy

  A Python library for symbolic mathematics.

• SciPy

  9.3 9.7 L2 blaze VS SciPy

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

• NetworkX

  9.1 8.7 L3 blaze VS NetworkX

  A high-productivity software for complex networks.

• statsmodels

  8.9 9.6 L3 blaze VS statsmodels

  Statistical modeling and econometrics in Python.

• PyMC

  8.7 9.3 L4 blaze VS PyMC

  Markov Chain Monte Carlo sampling toolkit.

• Dask

  8.5 9.5 L2 blaze VS Dask

  Versatile parallel programming with task scheduling

• Numba

  8.4 9.9 L3 blaze VS Numba

  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 blaze VS astropy

  A community Python library for Astronomy.

• Biopython

  7.8 9.5 L2 blaze VS Biopython

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

• orange

  7.3 9.7 L2 blaze VS orange

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

• Interactive Parallel Computing with IPython

  6.8 6.1 L3 blaze VS Interactive Parallel Computing with IPython

  Interactive Parallel Computing in Python

• Cubes

  6.1 3.6 L3 blaze VS Cubes

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

• Open Mining

  5.6 0.0 L3 blaze VS Open Mining

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

• bcbio-nextgen

  5.3 9.4 L3 blaze VS bcbio-nextgen

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

• RDKit

  5.3 9.1 L1 blaze VS RDKit

  Cheminformatics and Machine Learning Software.

• NIPY

  5.1 9.3 L3 blaze VS NIPY

  A collection of neuroimaging toolkits.

• bcolz

  4.7 3.2 blaze VS bcolz

  A columnar data container that can be compressed.

• bccb

  4.5 5.6 L4 blaze VS bccb

  Collection of useful code related to biological analysis.

• Neupy

  4.2 9.1 L5 blaze VS Neupy

  Running and testing different Artificial Neural Networks algorithms.

• Bubbles

  3.6 0.0 L5 blaze VS Bubbles

  A Python ETL framework

• PyDy

  2.9 6.4 L3 blaze 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

  1.7 7.8 L2 blaze VS harold

  An MIT licensed systems and controls toolbox for Python.

• signac

  1.0 8.6 blaze VS signac

  Manage large and heterogeneous data spaces on the file system.

• cclib

  0.9 2.1 blaze VS cclib

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

• dask-memusage

  0.5 4.3 blaze VS dask-memusage

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

• Open Babel

  - - blaze 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.

Do you think we are missing an alternative of blaze or a related project?

Add another 'Science and Data Analysis' Package

blaze Recommendations

There are no recommendations yet. Be the first to promote blaze!

Have you used blaze? Share your experience. Write a short recommendation and blaze, you and your project will be promoted on Awesome Python.
Recommend blaze

Recently added blaze resources

Popular Comparisons

• blaze
  vs
  Pandas
• blaze
  vs
  Dask
• blaze
  vs
  NumPy
• blaze
  vs
  bcolz
• blaze
  vs
  Open Mining