tesseract
Tesselation based Recovery of Amorphous halo Concentrations
Decision gist · record as of 2026-08-14
No. The package is abandoned (last release 2015-07-13), has high install friction due to a C compilation requirement, and is unmaintained. While it implements a valid scientific technique, the lack of support for modern environments makes it unsuitable for new projects. Use only if reproducing historical results and you can manage C build issues independently.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a C compiler and build tools to compile the bundled vorovol program; no Python version constraint specified.
- High install friction: the package is abandoned (last release 2015-07-13) and includes a compiled C component (vorovol) that must be built during installation.
- No active maintenance or support.
License · maintenance · safety
UNKNOWN (copyleft) — Licensed under GPL (copyleft); any derivative work or distribution must also be open-source under compatible terms. The license_raw field is marked UNKNOWN, so verify the exact GPL version before integrating into proprietary code.
last release 2015-07-13 (4050 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 82,157 downloads/mo, #14,179 on PyPI
Alternatives
Verify before relying
pip install tesseract==0.1.3
import tesseract
# Requires vorovol C program compilation and particle data in supported format- Exact GPL version (GPL v2, v3, or later) not specified in metadata; verify in source before use in proprietary projects.
- Whether the bundled vorovol C program has external build dependencies (e.g., Qhull) not listed in the fact sheet.
- Current compatibility with modern Python versions and compilers, given the 2015 release date and abandoned status.
What it is and what it does
TesseRACt is a specialized astrophysics package for computing concentration parameters of dark matter halos from N-body simulation particle data. It implements a Voronoi tessellation-based method that is non-parametric and does not assume spherical symmetry, allowing it to handle substructure in halos. The package includes a C program (vorovol) that computes Voronoi diagrams from particle data in multiple formats (Gadget-2, Gasoline, binary, ASCII) and halo catalogues, plus Python routines to compile, run, and parse its output.
The package also provides routines for computing concentrations using particle volumes, traditional NFW profile fitting, and non-parametric techniques assuming spherical symmetry. It was published alongside a peer-reviewed paper (Lang et al. 2015) and includes test halos and performance benchmarks from that work. However, the package has been abandoned since 2015-07-13 with no subsequent maintenance or updates.
Use it for
- Analyze dark matter halo concentration in cosmological N-body simulations using Voronoi tessellation methods.
- Compare concentration estimates from non-parametric techniques against traditional NFW profile fitting.
- Process particle data from Gadget-2, Gasoline, or other simulation formats to compute halo properties.
- Reproduce or verify results from Lang et al. (2015) using the included test halos and benchmarks.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned (last release 2015-07-13), has high install friction due to a C compilation requirement, and is unmaintained. While it implements a valid scientific technique, the lack of support for modern environments makes it unsuitable for new projects. Use only if reproducing historical results and you can manage C build issues independently.
Install
tesseract on PyPI
Before you install
High install friction: the package is abandoned (last release 2015-07-13) and includes a compiled C component (vorovol) that must be built during installation. No active maintenance or support.
Requires a C compiler and build tools to compile the bundled vorovol program; no Python version constraint specified.
License in practice
Licensed under GPL (copyleft); any derivative work or distribution must also be open-source under compatible terms. The license_raw field is marked UNKNOWN, so verify the exact GPL version before integrating into proprietary code.
Quickstart
pip install tesseract==0.1.3
import tesseract
# Requires vorovol C program compilation and particle data in supported formatVerify before relying
- Exact GPL version (GPL v2, v3, or later) not specified in metadata; verify in source before use in proprietary projects.
- Whether the bundled vorovol C program has external build dependencies (e.g., Qhull) not listed in the fact sheet.
- Current compatibility with modern Python versions and compilers, given the 2015 release date and abandoned status.
Package facts
| License | UNKNOWN copyleft |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 4,050 days since the last release |
| First released | |
| Downloads | 82,157 / month, #14,179 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: Science/ResearchLicense :: OSI Approved :: GNU General Public License (GPL)Natural Language :: EnglishOperating System :: OS IndependentProgramming Language :: PythonTopic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Astronomy |
Evidence: tesseract-0.1.3.tar.gz
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See also cmeel-qhull · mt2 · unstructured.pytesseract · particle · tetgen · e3nn · pytesseract · pysplashsurf · astropy-healpix · k-diffusion