OpenEXR alternatives and similar libraries
Based on the "Image Processing" category.
Alternatively, view OpenEXR alternatives based on common mentions on social networks and blogs.
9.9 8.5 L1 OpenEXR VS tesseract-ocrTesseract Open Source OCR Engine (main repository)
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
7.0 0.0 L1 OpenEXR VS OpenImageIOReading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.
6.7 9.4 L2 OpenEXR VS ITKInsight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
6.1 0.0 OpenEXR VS CImgThe CImg Library is a small and open-source C++ toolkit for image processing
3.7 0.0 L3 OpenEXR VS Boost.GILBoost.GIL - Generic Image Library | Requires C++14 since Boost 1.80
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of OpenEXR or a related project?
OpenEXR provides the specification and reference implementation of the EXR file format, the professional-grade image storage format of the motion picture industry.
The purpose of EXR format is to accurately and efficiently represent high-dynamic-range scene-linear image data and associated metadata, with strong support for multi-part, multi-channel use cases.
OpenEXR is widely used in host application software where accuracy is critical, such as photorealistic rendering, texture access, image compositing, deep compositing, and DI.
OpenEXR is a project of the Academy Software Foundation. The format and library were originally developed by Industrial Light & Magic and first released in 2003. Weta Digital, Walt Disney Animation Studios, Sony Pictures Imageworks, Pixar Animation Studios, DreamWorks, and other studios, companies, and individuals have made contributions to the code base.
OpenEXR is included in the VFX Reference Platform.
- High dynamic range and color precision.
- Support for 16-bit floating-point, 32-bit floating-point, and 32-bit integer pixels.
- Multiple image compression algorithms, both lossless and lossy. Some of the included codecs can achieve 2:1 lossless compression ratios on images with film grain. The lossy codecs have been tuned for visual quality and decoding performance.
- Extensibility. New compression codecs and image types can easily be added by extending the C++ classes included in the OpenEXR software distribution. New image attributes (strings, vectors, integers, etc.) can be added to OpenEXR image headers without affecting backward compatibility with existing OpenEXR applications.
- Support for stereoscopic image workflows and a generalization to multi-views.
- Flexible support for deep data: pixels can store a variable-length list of samples and, thus, it is possible to store multiple values at different depths for each pixel. Hard surfaces and volumetric data representations are accommodated.
- Multipart: ability to encode separate, but related, images in one file. This allows for access to individual parts without the need to read other parts in the file.
- Versioning: OpenEXR source allows for user configurable C++ namespaces to provide protection when using multiple versions of the library in the same process space.
OpenEXR and Imath Version 3
With the release of OpenEXR 3, the Imath library formerly distributed via the IlmBase component of OpenEXR is now an independent library dependency, available for download from https:://github.com/AcademySoftwareFoundation/Imath. You can choose to build OpenEXR against an external installation of Imath, or the default CMake configuration will download and build it automatically during the OpenEXR build process. Note that the half 16-bit floating point data type is included in Imath.
See the porting guide for details about differences from previous releases and how to address them. Also refer to the porting guide for details about changes to Imath.
OpenEXR builds on Linux, macOS, Microsoft Windows, and is cross-compilable on other systems.
OpenEXR Project Mission
The goal of the OpenEXR project is to keep the EXR format reliable and modern and to maintain its place as the preferred image format for entertainment content creation.
Major revisions are infrequent, and new features will be carefully weighed against increased complexity. The principal priorities of the project are:
- Robustness, reliability, security
- Backwards compatibility, data longevity
- Performance - read/write/compression/decompression time
- Simplicity, ease of use, maintainability
- Wide adoption, multi-platform support - Linux, Windows, macOS, and others
OpenEXR is intended solely for 2D data. It is not appropriate for storage of volumetric data, cached or lit 3D scenes, or more complex 3D data such as light fields.
The goals of the IlmBase project are simplicity, ease of use, correctness and verifiability, and breadth of adoption. IlmBase is not intended to be a comprehensive linear algebra or numerical analysis package.
OpenEXR Project Governance
OpenEXR is hosted by the Academy Software Foundation. See [GOVERNANCE](GOVERNANCE.md) for more information about how the project operates.
The OpenEXR project is dedicated to promoting a harassment-free community. Read our [code of conduct](CODE_OF_CONDUCT.md).
Developer Quick Start
See [INSTALL](INSTALL.md) for instructions on downloading and building OpenEXR from source.
GitHub repository: http://www.github.com/AcademySoftwareFoundation/openexr
Reference images: https://github.com/AcademySoftwareFoundation/openexr-images.
There are two primary ways to connect with the OpenEXR project:
GitHub Issues: GitHub issues are used both to track bugs and to discuss feature requests.
See [CONTRIBUTING](CONTRIBUTING.md) for more information.
OpenEXR welcomes contributions to the project. See [CONTRIBUTING](CONTRIBUTING.md) for more information about contributing to OpenEXR.
OpenEXR is released under the [BSD-3-Clause](LICENSE) license. See [PATENTS](PATENTS) for license information about portions of OpenEXR that are provided under a different license.
Frequently Asked Questions
pip install openexrdoesn't work."
The OpenEXR project provides python bindings for the Imath vector/matrix classes, but it does not provide python bindings for reading, writing, or editing .exr files. The openexrpython module is not affiliated with the OpenEXR project or the ASWF. Please direct questions there.
Alternatively, OpenImageIO also includes python bindings for OpenEXR.
*Note that all licence references and agreements mentioned in the OpenEXR README section above are relevant to that project's source code only.