Skip to main content

CTAO Data Processing Pipeline Subsystem

This package provides the software and workflow definitions for the CTAO Data Processing and Preservation System (DPPS) Data Processing Pipeline subsystem (DataPipe). It is responsible for transforming raw (DL0) observed and simulated data products produced by the observatory into "science-ready" data products (DL3), including reconstructed event lists and instrumental response functions.

Metadata

Release files for ctao-datapipe 0.5.0

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

Source distribution (sdist)

Source distribution for ctao-datapipe 0.5.0
File Size Uploaded Provenance
ctao_datapipe-0.5.0.tar.gz 3.1 MB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for ctao-datapipe 0.5.0
File Interpreter ABI Platform
ctao_datapipe-0.5.0-py3-none-any.whl Python 3 none any Details

Total release size: 3.1 MB

Release files / ctao_datapipe-0.5.0.tar.gz

Download URL ctao_datapipe-0.5.0.tar.gz
Size 3.1 MB
Tags Source
SHA-256 checksum
How to use checksums
75b0d44653a33e72bed20addd321b4a48a70ce16e2662a531100cb7bb9afeb9b
BLAKE2b-256 checksum
How to use checksums
363ff3a9df1ac3d52d9cd87f5c055054742b742220cbf9cda39a8e960cdb4c9f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.12.11

Release files / ctao_datapipe-0.5.0-py3-none-any.whl

Download URL ctao_datapipe-0.5.0-py3-none-any.whl
Size 6.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c952d9082ef37fa71b35d84ea8ac71ace137be9b7c435ec353eed117f7a38d28
BLAKE2b-256 checksum
How to use checksums
5a2cfc5f099a64c1b5bca2b1632f491b83e7227c344c609a81efbd636ecd6d97
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.12.11

Security for ctao-datapipe 0.5.0

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.

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