CoreVQ Suite 1.0.0

Native platform packages

Windows, Linux, and macOS packages include Studio and corevq. Evaluation downloads are pending release; support applies to each qualified package.

Evaluation release pendingRequest an evaluation
WindowsWindows 11

x86-64 native application

Package details
Distribution
Installer or portable package
Interface
CoreVQ Studio and bundled corevq automation
LinuxUbuntu 22.04 / 24.04 / 26.04

x86-64 native application

Package details
Distribution
Debian package
Display
X11/XWayland and supported Wayland environments
macOSmacOS 13+

Native Intel or Apple silicon

Package details
Distribution
Native macOS disk image
Interface
CoreVQ Studio and bundled corevq automation

Each operating-system claim applies only to the corresponding signed or checksummed artifact after clean-machine qualification. Media and protocol support is the tested decoder closure recorded for that artifact. Linux ARM, 32-bit Windows, Windows on ARM, and older operating-system releases are outside the 1.0 target matrix.

A 64-bit four-core CPU and 8 GB RAM are the practical minimum. Eight cores and 16 GB are recommended for HD/UHD and reference comparisons.

Details: Runtime requirements
Minimum practical CPU
64-bit, four cores
Minimum memory
8 GB RAM
Recommended
Eight or more cores, 16 GB RAM for HD/UHD and Full-Reference Analysis
GPU
Not required for analysis
Media runtime
Included with the product package
External FFmpeg executable
Not required
Python
Not required
Quality models
Included with the product package

Keep Studio, the CLI, models, and runtime from the same qualified package. Match results by named fields and versioned identities.

Details: Compatibility and package identity

Qualified package

  • Use Studio, corevq, models, and runtime libraries from the same supplied package.
  • Media and protocol coverage is defined by the decoder closure qualified for that artifact.
  • The package record supplies its signature or checksum, dependency inventory, and third-party notices.

Stored data and automation

  • Consume CSV and JSON fields by name rather than column position.
  • Earlier sessions are migrated on a best-effort basis.
  • Historical score evidence remains identified by its recorded model and schema versions.

Evaluation

Evaluate CoreVQ with your media

Evaluation requests will open with the official release. Access and production rights are provided under the applicable license terms.

Request an evaluation