gtkhst is a collection of GLib2 objects to compute statistics (mean, variance, correlations) in 1 and 2 dimensions and a set of Gtk2 widgets to display 1D and 2D histograms as well as trace plots showing the evolution with time of the monitored quantity
Pink is an image processing library developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering.
Everyday Software for the Researcher of Restricted Means: This project is intended to offer scientists and students with small budgets advanced versions of aqua-built desktop-editing, graphics and statistical applications for MacOSX.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
The Model Interaction Environment for Neuroscience provides tools for development, searching, editing, execution, and visualization of biophysical models, abstract mathematical models, and experimental protocols used in neuroscience research.
PyPotrace is a Python programming language binding for Peter Selinger's Potrace raster to vector conversion algorithm. No separate Potrace library or application required!
Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.
Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.