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CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev
Declarative statistical visualization library for Python
bottle.py is a fast and simple micro-framework for python web-applications.
Webscraping data about editors of scientific journals.
Markov Chain Monte Carlo Visualization Tools
Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
Zoomable, animated scatterplots in the browser that scales over a billion points
A Jupyter widget using sigma.js to render interactive networks.
A Python implementation of global optimization with gaussian processes.
A new markup-based typesetting system that is powerful and easy to learn.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!
LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook
A visual labeling system implemented in Jupyter widgets.
Statistical package in Python based on Pandas
Make Zotero effective for us LaTeX holdouts
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
BookNLP, a natural language processing pipeline for books
Terraforming Mars Boardgame
Generalized Jensen-Shannon divergence using alpha-entropies
An efficient C++ implementation of various sequential and parallel maximum flow algorithms.