Skip to main content

Welcome to RAVEN, the Rapid, on-source VOEvent Coincidence Monitor.

RAVEN is used in the LVK low-latency alert system in order to find associations between gravitational waves and other astronomical transients via GraceDb. See the following for more details:

RAVEN is also designed to be able to perform these tasks via GraceDb in offline searches as well.

The latest review documentation can be found at the following:

Legacy documentation can be found at the review documentation website:

Metadata

Release files for ligo-raven 3.3

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

Source distribution (sdist)

Source distribution for ligo-raven 3.3
File Size Uploaded Provenance Actions
ligo_raven-3.3.tar.gz 35.8 kB Without provenance Details for ligo_raven-3.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ligo-raven 3.3
File Interpreter ABI Platform Actions
ligo_raven-3.3-py3-none-any.whl Python 3 none any Details for ligo_raven-3.3-py3-none-any.whl

Total release size: 84.6 kB

Release files / ligo_raven-3.3.tar.gz

Download URL ligo_raven-3.3.tar.gz
Size 35.8 kB
Tags Source
SHA-256 checksum
How to use checksums
846943483755d8aa9abbb64ace9732e21ce0f60ac0814110abc39833976837ac
BLAKE2b-256 checksum
How to use checksums
e959fa170817ff178ccad39d03befad8aac3fe610582f2c21da88cbdb243a6fd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.0

Release files / ligo_raven-3.3-py3-none-any.whl

Download URL ligo_raven-3.3-py3-none-any.whl
Size 48.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
508cf8ad3ed79e0f41b5d81ca8f45a54b6e3e59b2030a214f9643325de574542
BLAKE2b-256 checksum
How to use checksums
cee04bc815334db19b8f38df9f195cadfe1dfcd94e38cef3aad931098ecb7720
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.0

Security for ligo-raven 3.3

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

3.3 This release

2 release files No provenance

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