AGAMA in a library for galaxy modelling. Its main tasks include:

• Computation of gravitational potential and forces;

• Orbit integration and analysis;

• Conversion between position/velocity and action/angle coordinates;

• Distribution functions;

• Self-consistent multi-component galaxy models;

• Framework for finding best-fit parameters of a model from data;

CVXOPT is a package for convex optimization based on the Python programming language. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language.

This is a stripped-down version of UNSIO - Universal Nbody Snapshot Input/Output library, forked from https://projets.lam.fr/projects/unsio and repackaged to simplify the compilation procedure.

Package for investigating galactic models in action-angle space.

BBarolo 3D fitting tool to derive the kinematics of galaxies from emission-line observations.

NAIF is a pure-python package for numerical analysis of frequencies. It implements the NAFF algorithm introduced by Laskar (1990, 1999) and further developed by Valluri & Merritt (1998) – see also Price-Whelan et al (2016) and their released package SuperFreq. It is based on the Fortran implementation of Valluri & Merritt (1998), but it introduces a few improvements. It is also intended to be a transparent, well documented and easy-to-use implementation.

code of the method described in Dehnen W., Semczuk M., Schönrich R., 2022, MNRAS, 518, 2712

pytreegrav is a package for computing the gravitational potential and/or field of a set of particles. It includes methods for brute-force direction summation and for the fast, approximate Barnes-Hut treecode method. For the Barnes-Hut method we implement an oct-tree as a numba jitclass to achieve much higher peformance than the equivalent pure Python implementation, without writing a single line of C or Cython.

NEMO is a toolbox for stellar dynamics, particle simulations, stellar orbits, image processing and tabular data manipulation.

NEMO is a toolbox for stellar dynamics, particle simulations, stellar orbits, image processing and tabular data manipulation.

The aim of this version is just to get the core library libnemo.a and a few binaries right, so many scripts and tools were already (or would be eventually) removed.

PortableXDR is an implementation of External Data Representation (XDR) Library. It is a standard data serialization format, for uses such as computer network protocols. It allows data to be transferred between different kinds of computer systems.

The PlotBin package contains utilities to plot binned maps and various other general plotting utilities for two-dimensional maps.

VorBin package is a Python implementation of the two-dimensional adaptive spatial binning method of Cappellari & Copin (2003). It uses Voronoi tessellations to bin data to a given minimum signal-to-noise ratio.

PowerBin: package provides a Python implementation of the PowerBin algorithm — a modern alternative to the classic Voronoi binning method. Like Voronoi binning, it performs 2D adaptive spatial binning to achieve a nearly constant value per bin of a chosen capacity (e.g., signal‑to‑noise ratio or any other user‑defined function of the bin spaxels). Key advances over the classic method include:

• Centroidal Power Diagram: Produces bins that are nearly round, convex, and connected, and eliminates the disconnected or nested bins that could occur with earlier approaches.

• Scalability: The entire algorithm scales with O(N log N) complexity, removing the O(N^2) bottleneck previously present in both the bin-accretion and regularization steps. This makes processing million‑pixel datasets practical.

• Stable CPD construction: Generates the tessellation via a heuristic inspired by packed soap bubbles, avoiding the numerical fragility of formal CPD solvers with realistic non-additive capacities (e.g., correlated noise).

The algorithm combines a fast initial bin-accretion phase with iterative regularization, and is described in detail in Cappellari (2025).

UNSIO ( U niversal N body S napshot I nput O utput) is an API which perform input/output operations in a generic way, and on different kind of nbody files format (nemo, gadget, sqlite3 etc).

UNSIO ( U niversal N body S napshot I nput O utput) is an API which perform input/output operations in a generic way, and on different kind of nbody files format (nemo, gadget, sqlite3 etc). This package provides unsio itself as well as python wrapper for it.