Skip to main content

TanGA

TanGA is a Python and C++ library for interactive technical visualization and geometric algebra (Clifford algebra) — two independent toolkits under one roof.

  • Visualization — build animated, interactive 3D and 2D technical scenes in the browser, and export them as standalone HTML (animations included), glTF/GLB, PNG, or MP4. No knowledge of geometric algebra required.
  • Geometric algebra / Clifford algebra — sparse multivectors over vector spaces of up to 31 dimensions with arbitrary signature, with explicit support for Euclidean, projective, and conformal spaces (E2/E3, P2/P3, N2/N3, PGA2/PGA3). Backed by a C++ template core with a zero-setup Python interface (pytanga).

→ Full documentation — C++ and Python API guides, architecture overview, notebooks, and developer workflows.


Key Features

Visualization

  • Interactive 3D & 2D scenes — Live WebSocket-driven Three.js visualizer in the browser. Rotate, pan, and zoom; add entities, apply per-entity styles, and work in 3D or 2D (space_dim=2). Usable without geometric algebra.

  • Animations — Frame-by-frame streaming at ~60 FPS and keyframe tweening (animate_to) with a scene-aware Timeline sequencer.

  • Standalone HTML export — Export self-contained, shareable HTML that includes animations, plus embeddable HTML for iframes, glTF/GLB for other 3D tools, PNG screenshots, and MP4 video.

  • Interactivity — Interactive controls (sliders, dropdowns, buttons), pointer-based object interaction (click, drag, scroll), and a simplified ActPoint API. Jupyter notebook support with inline iframes.

Geometric Algebra / Clifford Algebra

  • High-dimensional algebras — Sparse blade encoding for vector spaces up to 31 dimensions with arbitrary signature. Storage proportional to non-zero coefficients, not the full $2^D$ blade space.

  • Built-in spaces — Explicit, ready-to-use algebras for Euclidean (E2/E3), projective (P2/P3), and conformal (N2/N3, PGA2/PGA3) spaces.

  • C++ template header library — 100 % C++17 headers with constexpr-friendly templates. Compile-time dimension and signature let the compiler inline blade arithmetic down to machine instructions.

  • On‑demand Python compilation — pytanga generates, compiles, and caches pybind11 bindings on first use. Pre‑compiled wheels for common configurations ship with the package — zero-setup pip install for most users.

  • GA formula solving — Convert product equations into linear systems, solve with Gaussian elimination (floating-point or modular), and reconstruct the unknown multivector.

  • Matrix and tensor pipelines — Blade-mask-aware matrices and labeled tensors with Einsum-style contractions, broadcasts, and slicing on multivector data.

  • Geometry analysis and creation — analyze() extracts geometric meaning from a multivector; create() builds one from primitives. Works across E3, P3, N3, and PGA3 algebras.

  • galgebra interoperability — Bidirectional conversion between galgebra (sympy‑based) and tanga (numeric) multivectors via GalgebraBridge. Symbolic derivation → numeric computation → visualization, with support for non‑orthogonal bases.

→ Full feature details


Installation

pip install tanga-py

No C++ compiler or build tools required. pytanga ships with precompiled bindings for the five most common algebra configurations on Linux (x86_64) and Windows (win_amd64).

If you need a custom algebra not covered by the precompiled set, add the compile extra (pip install "tanga-py[compile]") — see the installation guide for per-platform compiler setup instructions.


AI Tool Documentation Access

When pytanga is installed, the markdown documentation and example scripts are packaged inside the wheel. AI coding tools can expose them by calling:

import pytanga
pytanga.install_docs()     # copies docs to .dep-docs/pytanga/
pytanga.install_examples() # copies examples to .dep-examples/pytanga/

License

TanGA is released under the Apache License 2.0. Every source file carries an SPDX-License-Identifier: Apache-2.0 comment.

Release files for tanga-py 1.11.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for tanga-py 1.11.0
File
tanga_py-1.11.0-py3-none-any.whl Python 3 none any Details
tanga_py-1.11.0-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
tanga_py-1.11.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 Details
tanga_py-1.11.0-cp313-cp313-macosx_14_0_arm64.whl CPython 3.13 CPython 3.13 macOS 14.0+ ARM64 Details
tanga_py-1.11.0-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
tanga_py-1.11.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 Details
tanga_py-1.11.0-cp312-cp312-macosx_14_0_arm64.whl CPython 3.12 CPython 3.12 macOS 14.0+ ARM64 Details

Total release size: 17.7 MB

Release files / tanga_py-1.11.0-py3-none-any.whl

Download URL tanga_py-1.11.0-py3-none-any.whl
Size 1.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
1ee3be7f388816eb500d7793d054cb314218ef54e05b5bd4f1fda5f176e72fde
BLAKE2b-256 checksum
How to use checksums
fa139baabbf0a7075cfc7b59b990c541e4acae777a5c820435ace5bb454798b3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / tanga_py-1.11.0-cp313-cp313-win_amd64.whl

Download URL tanga_py-1.11.0-cp313-cp313-win_amd64.whl
Size 2.7 MB
Tags CPython 3.13 Windows x86-64
SHA-256 checksum
How to use checksums
e62e606167712620b8103de8604d7c14e9ade8ec8330cf37850556559e5d2ad4
BLAKE2b-256 checksum
How to use checksums
899c4ab49d8c8780f179ea160130377d6293b6629008ef647418188f16d00547
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / tanga_py-1.11.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL tanga_py-1.11.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size 2.9 MB
Tags CPython 3.13 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
e1d479126b43505641e31463a8d06c5fc8471613f24d710570d309ec7e54b67a
BLAKE2b-256 checksum
How to use checksums
648b0aa9a5415e743ac5511ba854ff10b5b68a4b470435d8fa3b9549d543bf08
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / tanga_py-1.11.0-cp313-cp313-macosx_14_0_arm64.whl

Download URL tanga_py-1.11.0-cp313-cp313-macosx_14_0_arm64.whl
Size 2.6 MB
Tags CPython 3.13 macOS 14.0+ ARM64
SHA-256 checksum
How to use checksums
f77b82556c4955479c075cd3d61d01b87a076c096e1fcf7a83a82d6ba054e1b9
BLAKE2b-256 checksum
How to use checksums
c05bc062575ec4f223a147a8b1e219e7d787a9e11c5d1142383c51b3f07ee749
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / tanga_py-1.11.0-cp312-cp312-win_amd64.whl

Download URL tanga_py-1.11.0-cp312-cp312-win_amd64.whl
Size 2.7 MB
Tags CPython 3.12 Windows x86-64
SHA-256 checksum
How to use checksums
a0239c037840d21b3e0f07645cd75ee2dbd74d7d1d568e5dfd7b3c4568bc2a1b
BLAKE2b-256 checksum
How to use checksums
1333d996490b4677751fd065c1aaa9460a28aa863dcf896840db31e800527ba8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / tanga_py-1.11.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL tanga_py-1.11.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size 2.9 MB
Tags CPython 3.12 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
fd243020c25768bce240003015dd0e4ff8d9c697e8e5ff0e62f7ae4ddc95e5b4
BLAKE2b-256 checksum
How to use checksums
6fff942f774f3c8a7ea56a3a7d35fc2632ca8eb321a6f2f3179300b2e33bd38f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / tanga_py-1.11.0-cp312-cp312-macosx_14_0_arm64.whl

Download URL tanga_py-1.11.0-cp312-cp312-macosx_14_0_arm64.whl
Size 2.6 MB
Tags CPython 3.12 macOS 14.0+ ARM64
SHA-256 checksum
How to use checksums
2e58f256244ef4c0ed80ac2e989d70c59a35640f5859a2645503eff433a95420
BLAKE2b-256 checksum
How to use checksums
6bb9793ab095564c0ea3552ccd828d5698024fd023c87575c6fe0f73c092f623
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Release history Release notifications | RSS feed

2.11.0

7 release files

2.10.0

7 release files

2.9.0

7 release files

2.8.1

7 release files

2.8.0

7 release files

2.7.0

7 release files

2.6.0

7 release files

2.5.0

7 release files

2.4.1

7 release files

2.4.0

7 release files

2.3.0

7 release files

2.2.0

7 release files

2.1.0

7 release files

2.0.0

7 release files

1.12.0

7 release files

1.11.1

7 release files

This release

1.11.0 This release

7 release files

1.10.1

7 release files

1.10.0

7 release files

1.9.1

7 release files

1.9.0

7 release files

1.8.0

7 release files

1.7.0

7 release files

1.6.0

7 release files

1.5.0

7 release files

1.4.0

7 release files

1.3.0

7 release files

1.2.0

7 release files

1.1.0

7 release files

1.0.1

7 release files

1.0.0

7 release files

0.13.0

7 release files

0.12.0

7 release files

0.11.0

7 release files

0.10.0

7 release files

0.9.2

5 release files

0.9.1

5 release files

0.9.0

5 release files

0.8.0

5 release files

0.7.0

5 release files

0.6.0

5 release files

0.5.2

5 release files

0.5.1

5 release files

0.5.0

5 release files

0.4.1

3 release files

0.4.0

3 release files

0.3.0

3 release files

0.2.4

2 release files

0.2.1

1 release file

0.2.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page