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Analyzed about 18 hours ago. based on code collected 1 day 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++
70%
Java
17%
Python
8%
6 Other
5%

30 Day Summary

Apr 22 2024 — May 22 2024

12 Month Summary

May 22 2023 — May 22 2024
  • 108 Commits
    Down -286 (72%) from previous 12 months
  • 13 Contributors
    Down -6 (31%) from previous 12 months