Vizdraws
vizdraws creates interactive visualizations using draws from a prior and posterior distributions.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gempy | 841 |  | 3 | 5 months ago | 43 | November 22, 2023 | 85 | eupl-1.2 | Python | |
| GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties. | ||||||||||
| Ggdist | 745 | 21 | 4 months ago | 13 | November 27, 2023 | 40 | gpl-3.0 | R | ||
| Visualizations of distributions and uncertainty | ||||||||||
| Tidybayes | 689 | 7 | 11 | 8 months ago | 14 | March 14, 2023 | 43 | gpl-3.0 | R | |
| Bayesian analysis + tidy data + geoms (R package) | ||||||||||
| Bayesplot | 402 | 3 months ago | 57 | gpl-3.0 | R | |||||
| bayesplot R package for plotting Bayesian models | ||||||||||
| Optimviz | 119 | 2 years ago | 1 | gpl-3.0 | MATLAB | |||||
| Visualize optimization algorithms in MATLAB. | ||||||||||
| Sigminer | 119 | 5 months ago | 32 | August 21, 2023 | 3 | other | R | |||
| 🌲 An easy-to-use and scalable toolkit for genomic alteration signature (a.k.a. mutational signature) analysis and visualization in R https://shixiangwang.github.io/sigminer/reference/index.html | ||||||||||
| Mlviz | 97 | 2 years ago | 2 | mit | Jupyter Notebook | |||||
| Visualizations of machine learning models and algorithms | ||||||||||
| Business Analytics | 73 | 7 years ago | mit | HTML | ||||||
| Data Analytics, Statistics, Visualization (R / Python) | ||||||||||
| Bayes Vis Paper | 49 | 4 years ago | TeX | |||||||
| 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code) | ||||||||||
| Cbnplot | 49 | 5 months ago | 10 | R | ||||||
| Bayesian network plot for the enrichment analysis results | ||||||||||
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