Basic ODE filtering and smooting implementation.
Project description
ODE Filters
The ode-filters package is an experimental implementation of basic ODE filtering and smoothing functionalities. Its main purpose is educational and research-oriented, providing a simple starting point for ODE filtering in Python. As such, it uses NumPy for the most part and JAX where autodiff is needed. Currently, only constant step sizes and time-invariant observation and dynamics are supported.
Installation
-
Install the latest release from PyPI:
pip install ode-filters
Quickstart
-
Run the full test suite:
uv run pytest --cov=ode_filters --cov-report=term-missing
Project details
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 Distribution
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 ode_filters-0.3.0.tar.gz.
File metadata
- Download URL: ode_filters-0.3.0.tar.gz
- Upload date:
- Size: 25.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.9.9 {"installer":{"name":"uv","version":"0.9.9"},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fe33e3843f558b5464233519bfa7965eab29e51b10a2c746682460bdb98b9d55
|
|
| MD5 |
dbc8d536ae2c36622d20afd29bc58ecb
|
|
| BLAKE2b-256 |
150bb87ae99234f53f74a84e5d572da07ac22f27edc300d562638500ffa61a86
|
File details
Details for the file ode_filters-0.3.0-py3-none-any.whl.
File metadata
- Download URL: ode_filters-0.3.0-py3-none-any.whl
- Upload date:
- Size: 14.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.9.9 {"installer":{"name":"uv","version":"0.9.9"},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
64b588e266257d148e3d81ce01b03a58626c85afaa6e072e596e48247d21c486
|
|
| MD5 |
74f181098aa83c1e7005881fab8ab1d5
|
|
| BLAKE2b-256 |
7896158f750e571b23e0501020f2b78d6cb63e3ad03694ab8b2d8dd56c34f26b
|