Alternatives and similar repositories for supersmoother

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

• isadoranun / FATS
  ☆75Updated last year
• janpipek / physt
  Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.
  ☆135Updated last week
• numbagg / numbagg
  Fast N-dimensional aggregation functions with Numba
  ☆227Updated this week
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated last month
• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated last year
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 4 years ago
• pypmc / pypmc
  Clustering with variational Bayes and population Monte Carlo
  ☆50Updated 2 weeks ago
• nudomarinero / wquantiles
  weighted quantiles with Python
  ☆53Updated 4 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆111Updated 10 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• mfouesneau / faststats
  fast algorithm to do statistics on big data
  ☆37Updated last month
• dask / dask-glm
  ☆75Updated last year
• jakevdp / cython_template
  Package template for a project using Cython
  ☆58Updated 9 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆157Updated 7 years ago
• QuantEcon / rvlib
  Distributions for Python
  ☆48Updated 3 years ago
• fastats / fastats
  A pure Python library for benchmarked, scalable numerics using numba.
  ☆26Updated 2 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆230Updated 4 years ago
• ibab / python-mle
  A Python package for performing Maximum Likelihood Estimates
  ☆128Updated 5 years ago
• PrincetonUniversity / FastTemplatePeriodogram
  NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.
  ☆52Updated 4 years ago
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆81Updated 8 years ago
• eteq / catterplotpy
  A tool for creating catterplots in Python with matplotlib
  ☆53Updated 3 years ago
• jakevdp / altair-examples
  Some examples of Altair plots
  ☆92Updated 6 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• DataDog / piecewise
  ## Auto-archived due to inactivity. ## Functions for piecewise regression on time series data
  ☆106Updated 6 years ago
• scikit-hep / resample
  Randomization-based inference in Python
  ☆83Updated last week
• jcrist / ptime
  IPython magic for parallel profiling (like `%time`, but parallel)
  ☆72Updated 8 years ago
• dfm / tf-tutorial
  A non-traditional TensorFlow tutorial
  ☆48Updated 5 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆223Updated last year