scico

SCICO is a Python package for solving the inverse problems that arise in scientific imaging applications. Its primary focus is providing methods for solving ill-posed inverse problems by using an appropriate prior model of the reconstruction space. SCICO includes a growing suite of operators, cost functionals, regularizers, and optimization routines that may be combined to solve a wide range of problems, and is designed so that it is easy to add new building blocks. SCICO is built on top of JAX, which provides features such as automatic gradient calculation and GPU acceleration.

Metadata

Release files for scico 0.0.7

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

Source distribution (sdist)

Source distribution for scico 0.0.7
File	Size	Uploaded
scico-0.0.7.tar.gz	15.4 MB	Dec 9, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for scico 0.0.7
File	Interpreter	ABI	Platform	Reset
scico-0.0.7-py3-none-any.whl 11.4 MB Dec 9, 2025	Python 3	none	any	Details

Total release size: 26.8 MB

Release files / scico-0.0.7.tar.gz

Download URL	scico-0.0.7.tar.gz
Size	15.4 MB
Tags	Source
SHA-256 checksum How to use checksums	`8521802a75b423c4f6e20207ed17c16b1e061c17f3393fb6b140bbbd18287d1d`
BLAKE2b-256 checksum How to use checksums	`257a5a979e69ab771509afe245702d707dc61d5bf29328627e1554f1d0cc5c67`
Upload date	Dec 9, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Release files / scico-0.0.7-py3-none-any.whl

Download URL	scico-0.0.7-py3-none-any.whl
Size	11.4 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`0fd6ba6b1d1e321d8bba39d8000ec1101fa6109db26a08f58af952c5e7cde4c1`
BLAKE2b-256 checksum How to use checksums	`eef8c2a15a391ac784e4a6a642b2427374c129a520c237ad012a93262c6659be`
Upload date	Dec 9, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.7`