Alternatives and similar repositories for plfit

Users that are interested in plfit are comparing it to the libraries listed below

• jeffalstott / powerlaw
  ☆625Updated 2 weeks ago
• benmaier / tacoma
  Temporal networks in Python. Provides fast tools to analyze temporal contact networks and simulate dynamic processes on them using Gilles…
  ☆105Updated 5 years ago
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆155Updated 7 years ago
• IngoScholtes / pathpy
  pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order…
  ☆146Updated 5 years ago
• GiulioRossetti / dynetx
  Dynamic Network Analysis library
  ☆112Updated last year
• hackl / network2tikz
  A converter that takes a network (cnet, igraph, networkx, pathpy, ...) and creates a tikz-network for smooth integration into LaTeX.
  ☆52Updated 3 years ago
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆81Updated 8 years ago
• xyjprc / hon
  Code for generating Higher-order Network (HON) from data with higher-order dependencies
  ☆67Updated last year
• Hoosier-Clusters / clusim
  An extended package for clustering similarity
  ☆67Updated 6 months ago
• jakeret / abcpmc
  Approximate Bayesian Computation Population Monte Carlo
  ☆41Updated 5 years ago
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆38Updated 9 years ago
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆52Updated 5 years ago
• Daniel-B-Smith / KDE-for-SciPy
  A repository of code to be integrated with SciPy's KDE module
  ☆35Updated 12 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆178Updated last year
• ntamas / plfit
  Fitting power-law distributions to empirical data, according to the method of Clauset, Shalizi and Newman
  ☆50Updated 6 months ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆102Updated 2 years ago
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆61Updated 2 years ago
• IngoScholtes / pyTempNets
  A python module for the analysis of time-stamped relational data represented as temporal networks.
  ☆36Updated 8 years ago
• funket / pysbm
  A Python Package for Stochastic Block Model Inference
  ☆38Updated 5 years ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• nkoub / multinetx
  multiNetX is a python package for the manipulation and visualization of multilayer networks. It is build on NetworkX
  ☆246Updated 11 months ago
• PrincetonUniversity / FastTemplatePeriodogram
  NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.
  ☆52Updated 4 years ago
• nudomarinero / wquantiles
  weighted quantiles with Python
  ☆53Updated 4 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated last month
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 4 years ago
• dfm / tf-tutorial
  A non-traditional TensorFlow tutorial
  ☆48Updated 5 years ago
• tonysyu / mpltools
  Tools for Matplotlib
  ☆126Updated 3 years ago
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆460Updated last week
• jakevdp / supersmoother
  Efficient pure Python implementation of Friedman's Supersmoother
  ☆87Updated 2 years ago
• jkbren / networkx-edge-bundling
  hacky way to bundle some edges in networkx and matplotlib
  ☆20Updated 5 years ago