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Analyzed about 13 hours ago. based on code collected about 13 hours ago.

Project Summary

OpenVDS is an open-source reference implementation of a storage format for fast random access to multi-dimensional (up to 6D) volumetric data stored in an object storage cloud service (e.g. Amazon S3, Azure Blob storage or Google Cloud Storage).

OpenVDS may be used to store E&P data types such as regularized single-Z horizons/height-maps (2D), seismic lines (2D), pre-stack volumes (3D-5D), post-stack volumes (3D), geobody volumes (3D-5D), and attribute volumes of any dimensionality up to 6D.

The format has been designed primarily to support random access and on-demand fetching of data, this enables applications that are responsive and interactive as well as efficient I/O for high-performance computing or machine learning workloads.

OpenVDS is based on Bluware's VDS format.

Tags

aws azure bigdata blobstore c++ cloud compression datascience gcp gcs java python s3 scientificdata

Apache License 2.0
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These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

C++
71%
Java
18%
Python
7%
6 Other
4%

30 Day Summary

Jan 3 2023 — Feb 2 2023

12 Month Summary

Feb 2 2022 — Feb 2 2023
  • 503 Commits
    Up + 67 (15%) from previous 12 months
  • 14 Contributors
    Down 0 (0%) from previous 12 months