Open Mining alternatives and similar packages

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

• Pandas

  9.9 10.0 L2 Open Mining VS Pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
  

• NumPy

  9.7 9.9 L1 Open Mining VS NumPy

  The fundamental package for scientific computing with Python.
  

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• SciPy

  9.4 9.9 L2 Open Mining VS SciPy

  SciPy library main repository
  

• SymPy

  9.4 10.0 L2 Open Mining VS SymPy

  A computer algebra system written in pure Python
  

• NetworkX

  9.3 9.5 L3 Open Mining VS NetworkX

  Network Analysis in Python
  

• Dask

  9.2 9.7 L2 Open Mining VS Dask

  Parallel computing with task scheduling
  

• statsmodels

  9.1 9.6 L3 Open Mining VS statsmodels

  Statsmodels: statistical modeling and econometrics in Python
  

• PyMC

  8.8 9.8 L4 Open Mining VS PyMC

  Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
  

• Numba

  8.8 9.9 L3 Open Mining VS Numba

  NumPy aware dynamic Python compiler using LLVM
  

• astropy

  8.2 9.9 L2 Open Mining VS astropy

  Astronomy and astrophysics core library
  

• Biopython

  8.2 9.1 L2 Open Mining VS Biopython

  Official git repository for Biopython (originally converted from CVS)
  

• orange

  7.9 9.6 L2 Open Mining VS orange

  🍊 :bar_chart: :bulb: Orange: Interactive data analysis
  

• blaze

  7.5 0.0 L4 Open Mining VS blaze

  NumPy and Pandas interface to Big Data
  

• Interactive Parallel Computing with IPython

  7.4 9.3 L3 Open Mining VS Interactive Parallel Computing with IPython

  IPython Parallel: Interactive Parallel Computing in Python
  

• RDKit

  6.7 9.4 L1 Open Mining VS RDKit

  The official sources for the RDKit library
  

• Cubes

  6.0 0.0 L3 Open Mining VS Cubes

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

• bcbio-nextgen

  5.4 8.4 L3 Open Mining VS bcbio-nextgen

  Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
  

• NIPY

  5.2 9.5 L3 Open Mining VS NIPY

  Workflows and interfaces for neuroimaging packages
  

• bcolz

  4.8 0.0 Open Mining VS bcolz

  A columnar data container that can be compressed.
  

• Neupy

  4.4 0.0 L5 Open Mining VS Neupy

  NeuPy is a Tensorflow based python library for prototyping and building neural networks

• bccb

  4.4 2.9 L4 Open Mining VS bccb

  Incubator for useful bioinformatics code, primarily in Python and R

• Bubbles

  3.7 0.0 L5 Open Mining VS Bubbles

  [NOT MAINTAINED] Bubbles – Python ETL framework

• PyDy

  3.3 7.5 L3 Open Mining VS PyDy

  Multibody dynamics tool kit.
  

• harold

  2.2 7.0 L2 Open Mining VS harold

  An open-source systems and controls toolbox for Python3

• signac

  2.1 8.7 Open Mining VS signac

  Manage large and heterogeneous data spaces on the file system.
  

• LynxKite

  1.9 8.1 Open Mining VS LynxKite

  The complete graph data science platform
  

• Kotori

  1.7 7.8 Open Mining VS Kotori

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

• PatZilla

  1.7 6.9 Open Mining VS PatZilla

  PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
  

• Terkin

  1.6 7.0 Open Mining VS Terkin

  Terkin-Datalogger for MicroPython and CPython
  

• cclib

  0.9 Open Mining VS cclib

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

• ElasticBatch

  0.8 0.0 Open Mining VS ElasticBatch

  Elasticsearch tool for easily collecting and batch inserting Python data and pandas DataFrames

• dask-memusage

  0.7 0.0 Open Mining VS dask-memusage

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

• Open Babel

  - Open Mining 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.

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