Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

aspire: Accelerated Sequential Posterior Inference via REuse

aspire is a framework for reusing existing posterior samples to obtain new results at a reduced code.

Installation

aspire can be installed from PyPI using pip

pip install aspire-inference

Important: the name of aspire on PyPI is aspire-inference but once installed the package can be imported and used as aspire.

Metadata

Release files for aspire-inference 0.1.0a2

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

Source distribution (sdist)

Source distribution for aspire-inference 0.1.0a2
File Size Uploaded
aspire_inference-0.1.0a2.tar.gz 33.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for aspire-inference 0.1.0a2
File Interpreter ABI Platform
aspire_inference-0.1.0a2-py3-none-any.whl Python 3 none any Details

Total release size: 69.0 kB

Release files / aspire_inference-0.1.0a2.tar.gz

Download URL aspire_inference-0.1.0a2.tar.gz
Size 33.3 kB
Tags Source
SHA-256 checksum
How to use checksums
e272ddece075d5f93fcea856f46606154b93c1b6c1711eae80026b2939bfc3be
BLAKE2b-256 checksum
How to use checksums
af4abb56aafdaa9becb60c8f11ca9b0e1495109b975185f0a09a026f5d80113d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 19, 2025.

Transparency log

Release files / aspire_inference-0.1.0a2-py3-none-any.whl

Download URL aspire_inference-0.1.0a2-py3-none-any.whl
Size 35.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a8c69a22cac3c12123d6c957b6571f6730da488d116dd65359464065221d10b5
BLAKE2b-256 checksum
How to use checksums
5529b8c36107b4006e073352d0e8b02029b7ca6d6bd3a5fc7934c95890bae85a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 19, 2025.

Transparency log
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