A package to handle shape-matching for meshes
Project description
TDAtaframe
TDA brought to dataframes.
Install
TDAtaframe uses the libtorch libraries provided by the Python torch package.
You do not need to install libtorch system-wide.
Install with
pip install tdataframe
The Rust backend currently targets torch==2.7.0, matching tch-rs 0.20.0.
The package supports Python 3.12 and 3.13. If pip builds from source, it will
compile against the torch package in the build environment.
On first install, it is normal for compilation to take a few minutes.
Verify Packaging
Run the same install path that CI uses:
python3 scripts/wheel_install_test.py
That script builds a wheel through pip's isolated PEP 517 path, installs the
wheel into a fresh virtualenv, runs pip check, imports the Rust extension
against PyTorch's bundled libtorch, and then runs the test suite from the
installed wheel.
For cross-machine checks, GitHub Actions runs the wheel test on Linux x64, macOS x64, macOS arm64, and Windows x64. If you have the GitHub CLI installed and authenticated, this command triggers CI and saves the logs locally:
python3 scripts/ci_watch.py
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tdataframe-0.6.0.tar.gz.
File metadata
- Download URL: tdataframe-0.6.0.tar.gz
- Upload date:
- Size: 91.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c4397103e178fde040f7b57ab71a6633265d3eba25cc910b69796acfac4d3ef9
|
|
| MD5 |
68afb29a14828d85b8581d5bedc7d661
|
|
| BLAKE2b-256 |
5ae58818678474bd015ca5244e383e44dae1171f81619f487ae0b4e9c359e8c9
|
File details
Details for the file tdataframe-0.6.0-cp312-abi3-win_amd64.whl.
File metadata
- Download URL: tdataframe-0.6.0-cp312-abi3-win_amd64.whl
- Upload date:
- Size: 6.1 MB
- Tags: CPython 3.12+, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b86e5ea42c3ee1c81f21144b5ce0caa5229edf75b5bcefadbc10e624c41bf52a
|
|
| MD5 |
02cc7a3b0655823f44d36610f9307fe8
|
|
| BLAKE2b-256 |
acf3555827f142365d98f758043c193436e889cf2f98c79cc65420adb7f3c497
|
File details
Details for the file tdataframe-0.6.0-cp312-abi3-manylinux_2_28_x86_64.whl.
File metadata
- Download URL: tdataframe-0.6.0-cp312-abi3-manylinux_2_28_x86_64.whl
- Upload date:
- Size: 6.6 MB
- Tags: CPython 3.12+, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
41539df5e7a2dc7ebda250e0570f6582d2c898d3706e073ef5b3b4af0efc5f5d
|
|
| MD5 |
d00363da4d2274e35be901e673c57c40
|
|
| BLAKE2b-256 |
e6050ebcceaa538772201a9b321ec8ce2e29b7615770f873b81b274173e8d84e
|
File details
Details for the file tdataframe-0.6.0-cp312-abi3-macosx_11_0_arm64.whl.
File metadata
- Download URL: tdataframe-0.6.0-cp312-abi3-macosx_11_0_arm64.whl
- Upload date:
- Size: 5.7 MB
- Tags: CPython 3.12+, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7e6062a3c1f08833fa82ef72a95fcf6e61a1fad610f8e72ff0b026916edfc453
|
|
| MD5 |
62219cfd310c2ae2cdf482d255078b0c
|
|
| BLAKE2b-256 |
71547f473e6caeb47afbde2bde55d7f3ebc79d5572a267bd4a430ee916993af7
|
