Alternatives and similar repositories for paxplot:

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

• AlonLabWIS / ParTI
  A Matlab package to perform Pareto Task Inference (ParTI), which infers tasks from high-dimensional datasets.
  ☆13Updated 5 years ago
• LoLab-MSM / PyDREAM
  MT-DREAM(ZS) algorithm for model optimization, calibration, selection
  ☆52Updated 3 weeks ago
• 0xshipthecode / ndw-climate
  ☆15Updated 10 years ago
• vinceniko / choropie
  Python Geographic Plotting: Create a choropleth map with pie charts at each area centroid.
  ☆20Updated 6 years ago
• fabian-sp / GGLasso
  A Python package for General Graphical Lasso computation
  ☆35Updated last month
• cjbayesian / rccm
  Convergent Cross Mapping R package
  ☆14Updated 11 years ago
• tensorly / viz
  Easy visualization and evaluation of matrix and tensor factorization models
  ☆15Updated 2 years ago
• willirath / dask_jobqueue_workshop_materials
  Materials for a workshop focusing on https://jobqueue.dask.org
  ☆28Updated 5 years ago
• adrianveres / polo
  Python Optimal Leaf Ordering for Hierarchical Clustering
  ☆21Updated 7 years ago
• ntessore / composition_stats
  Python package for compositional data analysis
  ☆13Updated last year
• verasativa / python.ForceBundle
  Python implementation of Force-Directed Edge Bundling for Graph Visualization
  ☆21Updated 11 months ago
• houghb / savvy
  A tool to visualize high dimensionality sensitivity analysis data
  ☆47Updated 3 years ago
• toobaz / mpl_sankey
  A matplotlib-based library to produce sankey plots
  ☆35Updated last year
• benmaier / epipack
  Fast prototyping of infectious-disease models based on reaction equations. Analyze the ODEs analytically or numerically, or run stochasti…
  ☆32Updated 2 years ago
• lujonathanh / BETS
  Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…
  ☆20Updated 2 years ago
• mgbckr / corals-lib-python
  ☆12Updated 9 months ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• michaelgreenacre / CODAinPractice
  Compositional Data Analysis in Practice
  ☆40Updated 6 months ago
• Teichlab / RCA
  Residual Component Analysis
  ☆10Updated 7 years ago
• petermr / climate
  OpenAccess papers mined for Climate Change
  ☆30Updated 2 years ago
• tanghaibao / treecut
  Find nodes in hierarchical clustering that are statistically significant
  ☆28Updated 7 years ago
• ProcessMiner / nlcor
  An implementation of an efficient heuristic to compute the nonlinear correlations between numeric vectors. The heuristic works by adaptiv…
  ☆19Updated 2 years ago
• International-BMP-Database / wqio
  💧 Water quality analysis
  ☆22Updated 3 months ago
• TorkamaniLab / zoish
  Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making …
  ☆11Updated last year
• cbg-ethz / SGS
  Inference in Bayesian Networks with R
  ☆11Updated 2 years ago
• FlorentF9 / SOMperf
  SOMperf: Self-organizing maps performance metrics and quality indices
  ☆36Updated 9 months ago
• lgloege / zenodopy
  Manage Zenodo projects with Python
  ☆18Updated last month
• Manciukic / xpysom
  XPySom is a minimalistic implementation of batch Self Organizing Map algorithm
  ☆17Updated last year
• flatironinstitute / catvae
  Categorical Variational Autoencoders
  ☆24Updated 3 years ago
• carpentries-incubator / introduction-to-conda-for-data-scientists
  Introduction to Conda for (Data) Scientists
  ☆50Updated 2 years ago