Microsoft.ML.OnnxRuntime 1.18.0
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
Showing the top 20 packages that depend on Microsoft.ML.OnnxRuntime.
| Packages | Downloads |
|---|---|
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Aspose.OCR
Aspose.OCR for .NET is a powerful yet easy-to-use and cost-effective API for extracting text from scanned images, photos, screenshots, PDF documents, and other files. It allows you to add optical character recognition (OCR) functionality to your .NET desktop or web application in less than 10 lines of code without worrying about complex formulas, neural networks and other technical details.
Advanced machine learning models and artificial intelligence allow you to read text in 26 languages based on Latin and Cyrillic scripts, as well as Chinese. Various pre-processing filters allow you to correct rotated and noisy images without loss of recognition accuracy. To further improve recognition results, you can turn on spell checker, which finds and automatically corrects spelling errors.
Aspose.OCR can recognize scanned images or even smartphone photos in the most popular formats: PDF, JPG, TIFF, PNG, BMP, GIF, or DjVu. You can also perform batch image recognition from a folder or ZIP archive in one call. The recognition results are returned in the most popular document and data exchange formats: plain text, PDF, Word, Excel, JSON and XML and can be further parsed and analyzed programmatically.
The library is fully compatible with other Aspose products. You can build solutions of any complexity using familiar concepts with minimal code.
Changelog:
- Added fast recognition method that works with OcrInput object.
- Specialized recognition methods have been aligned with the new API.
DEPRECATION WARNING:
Several classes and methods from previous versions of Aspose.OCR remain functional but are marked deprecated.
They will be removed in release 23.11.0 (November 2023) in favor of the new API introduced in this release.
Please adapt your code to replace them with the new APIs before then. See the Release Notes for more details.
Check for details at https://docs.aspose.com/ocr/net/aspose-ocr-for-net-23-5-0-release-notes/
Resources:
Online documentation: https://docs.aspose.com/ocr/net/
Free support forum: https://forum.aspose.com/c/ocr/
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2 |
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Aspose.OCR
Aspose.OCR for .NET is a powerful yet easy-to-use and cost-effective API for extracting text from scanned images, photos, screenshots, PDF documents, and other files. It allows you to add optical character recognition (OCR) functionality to your .NET desktop or web application in less than 10 lines of code without worrying about complex formulas, neural networks and other technical details.
Advanced machine learning models and artificial intelligence allow you to read text in 26 languages based on Latin and Cyrillic scripts, as well as Chinese. Various pre-processing filters allow you to correct rotated and noisy images without loss of recognition accuracy. To further improve recognition results, you can turn on spell checker, which finds and automatically corrects spelling errors.
Aspose.OCR can recognize scanned images or even smartphone photos in the most popular formats: PDF, JPG, TIFF, PNG, BMP, GIF, or DjVu. You can also perform batch image recognition from a folder or ZIP archive in one call. The recognition results are returned in the most popular document and data exchange formats: plain text, PDF, Word, Excel, JSON and XML and can be further parsed and analyzed programmatically.
The library is fully compatible with other Aspose products. You can build solutions of any complexity using familiar concepts with minimal code.
Changelog
- Receipt recognition
- Improved recognition of small fonts and detection of dense lines.
- Improved handling of images rotated by 90 degrees.
- Preserving the original font size in PDF and DOCX results.
- Removed unnecessary RecognizeSingleLine option from DocumentRecognitionSettings.
- Changed output of RecognizeMultipleImages method to List of Aspose.OCR.RecognitionResult
Check for details at https://docs.aspose.com/ocr/net/aspose-ocr-for-net-22-11-1-release-notes/
Resources:
Online documentation: https://docs.aspose.com/ocr/net/
Free support forum: https://forum.aspose.com/c/ocr/
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2 |
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Aspose.OCR
Aspose.OCR for .NET is a robust optical character recognition API.
Developers can easily add OCR functionalities in their applications.
API is extensible, easy to use, compact and provides a simple set of classes
for controlling character recognition.
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2 |
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Aspose.OCR
Aspose.OCR for .NET is a powerful yet easy-to-use and cost-effective API for extracting text from scanned images, photos, screenshots, PDF documents, and other files. It allows you to add optical character recognition (OCR) functionality to your .NET desktop or web application in less than 10 lines of code without worrying about complex formulas, neural networks and other technical details.
Advanced machine learning models and artificial intelligence allow you to read text in 26 languages based on Latin and Cyrillic scripts, as well as Chinese. Various pre-processing filters allow you to correct rotated and noisy images without loss of recognition accuracy. To further improve recognition results, you can turn on spell checker, which finds and automatically corrects spelling errors.
Aspose.OCR can recognize scanned images or even smartphone photos in the most popular formats: PDF, JPG, TIFF, PNG, BMP, GIF, or DjVu. You can also perform batch image recognition from a folder or ZIP archive in one call. The recognition results are returned in the most popular document and data exchange formats: plain text, PDF, Word, Excel, JSON and XML and can be further parsed and analyzed programmatically.
The library is fully compatible with other Aspose products. You can build solutions of any complexity using familiar concepts with minimal code.
Changelog
- IDCard, Passport, Car plate and Invoice recognition.
- Search text on image, compare two images.
Check for details at https://docs.aspose.com/ocr/net/aspose-ocr-for-net-22-12-0-release-notes/
Resources:
Online documentation: https://docs.aspose.com/ocr/net/
Free support forum: https://forum.aspose.com/c/ocr/
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2 |
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Aspose.OCR
Powerful and developer-friendly OCR API for extracting text from images and creating searchable PDFs. Add optical character recognition to on-premises solutions, web sites, cloud services, and serverless functions with just a few lines of native .NET code. Effortlessly transform scanned pages, photos, screenshots, handwritten memos, and other images into machine-readable text, regardless of the font, layout and styles. Find and compare text on images. Bulk-recognize all images from folders and archives; read multi-page PDF documents and TIFF images.
Aspose.OCR is a universal solution for document processing, data extraction, and content digitization on a global scale. Supporting over 130 European, Middle East, Asian, African and American languages, the library allows you to recognize texts in Latin, Cyrillic, Arabic, Chinese, and Hindi scrips, including text in mixed languages. The library can be used virtually everywhere, catering to both small and medium businesses as well as multinational corporations.
With Aspose.OCR, optical character recognition becomes a trivial and straightforward task, even for developers new to the technology. You can focus at business task rather than complex maths, neural networks, and other technical intricacies. Powerful image processing and customizable content structure detection algorithms enable text extraction from virtually any image, ranging from high-quality scans to street photos.
Aspose.OCR for .NET can work with virtually any file you can get from a scanner or camera, including PDF document and multi-page TIFF images. Recognition results are returned in the most popular file and data exchange formats that can be saved, imported to a database, or analyzed in real time.
Changelog:
- Minor performance improvements. No public API changes.
Check for details at https://releases.aspose.com/ocr/net/release-notes/2026/aspose-ocr-for-net-26-2-0-release-notes/
Resources:
Product page: https://products.aspose.com/ocr/net/
Advanced OCR models: https://github.com/aspose-ocr/resources
Online documentation: https://docs.aspose.com/ocr/net/
Solutions: https://docs.aspose.com/ocr/net/use-cases/
Free support forum: https://forum.aspose.com/c/ocr/16
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2 |
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Aspose.OCR
Aspose.OCR for .NET is a powerful yet easy-to-use and cost-effective API for extracting text from scanned images, photos, screenshots, PDF documents, and other files. It allows you to add optical character recognition (OCR) functionality to your .NET desktop or web application in less than 10 lines of code without worrying about complex formulas, neural networks and other technical details.
Advanced machine learning models and artificial intelligence allow you to read text in 26 languages based on Latin and Cyrillic scripts, as well as Chinese. Various pre-processing filters allow you to correct rotated and noisy images without loss of recognition accuracy. To further improve recognition results, you can turn on spell checker, which finds and automatically corrects spelling errors.
Aspose.OCR can recognize scanned images or even smartphone photos in the most popular formats: PDF, JPG, TIFF, PNG, BMP, GIF, or DjVu. You can also perform batch image recognition from a folder or ZIP archive in one call. The recognition results are returned in the most popular document and data exchange formats: plain text, PDF, Word, Excel, JSON and XML and can be further parsed and analyzed programmatically.
The library is fully compatible with other Aspose products. You can build solutions of any complexity using familiar concepts with minimal code.
Changelog
- Receipt recognition
- Improved recognition of small fonts and detection of dense lines.
- Improved handling of images rotated by 90 degrees.
- Preserving the original font size in PDF and DOCX results.
- Removed unnecessary RecognizeSingleLine option from DocumentRecognitionSettings.
- Changed output of RecognizeMultipleImages method to List of Aspose.OCR.RecognitionResult
Check for details at https://docs.aspose.com/ocr/net/aspose-ocr-for-net-22-9-release-notes/
Resources:
Online documentation: https://docs.aspose.com/ocr/net/
Free support forum: https://forum.aspose.com/c/ocr/
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2 |
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Aspose.OCR
Powerful and developer-friendly OCR API for extracting text from images and creating searchable PDFs. Add optical character recognition to on-premises solutions, web sites, cloud services, and serverless functions with just a few lines of native .NET code. Effortlessly transform scanned pages, photos, screenshots, handwritten memos, and other images into machine-readable text, regardless of the font, layout and styles. Find and compare text on images. Bulk-recognize all images from folders and archives; read multi-page PDF documents and TIFF images.
Aspose.OCR is a universal solution for document processing, data extraction, and content digitization on a global scale. Supporting over 130 European, Middle East, Asian, African and American languages, the library allows you to recognize texts in Latin, Cyrillic, Arabic, Chinese, and Hindi scrips, including text in mixed languages. The library can be used virtually everywhere, catering to both small and medium businesses as well as multinational corporations.
With Aspose.OCR, optical character recognition becomes a trivial and straightforward task, even for developers new to the technology. You can focus at business task rather than complex maths, neural networks, and other technical intricacies. Powerful image processing and customizable content structure detection algorithms enable text extraction from virtually any image, ranging from high-quality scans to street photos.
Aspose.OCR for .NET can work with virtually any file you can get from a scanner or camera, including PDF document and multi-page TIFF images. Recognition results are returned in the most popular file and data exchange formats that can be saved, imported to a database, or analyzed in real time.
Changelog:
- Exposed control over ONNX session options (for advanced users only)
- Added automatic detection of image language, supporting: English, Cyrillic, Arabic, Chinese, Japanese, Korean, Hindi, Tamil, Telugu, and Kannada
Check for details at https://releases.aspose.com/ocr/net/release-notes/2025/aspose-ocr-for-net-25-2-0-release-notes/
Resources:
Product page: https://products.aspose.com/ocr/net/
Advanced OCR models: https://github.com/aspose-ocr/resources
Online documentation: https://docs.aspose.com/ocr/net/
Solutions: https://docs.aspose.com/ocr/net/use-cases/
Free support forum: https://forum.aspose.com/c/ocr/16
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Aspose.OCR
Powerful and developer-friendly OCR API for extracting text from images and creating searchable PDFs. Add optical character recognition to on-premises solutions, web sites, cloud services, and serverless functions with just a few lines of native .NET code. Effortlessly transform scanned pages, photos, screenshots, handwritten memos, and other images into machine-readable text, regardless of the font, layout and styles. Find and compare text on images. Bulk-recognize all images from folders and archives; read multi-page PDF documents and TIFF images.
Aspose.OCR is a universal solution for document processing, data extraction, and content digitization on a global scale. Supporting over 130 European, Middle East, Asian, African and American languages, the library allows you to recognize texts in Latin, Cyrillic, Arabic, Chinese, and Hindi scrips, including text in mixed languages. The library can be used virtually everywhere, catering to both small and medium businesses as well as multinational corporations.
With Aspose.OCR, optical character recognition becomes a trivial and straightforward task, even for developers new to the technology. You can focus at business task rather than complex maths, neural networks, and other technical intricacies. Powerful image processing and customizable content structure detection algorithms enable text extraction from virtually any image, ranging from high-quality scans to street photos.
Aspose.OCR for .NET can work with virtually any file you can get from a scanner or camera, including PDF document and multi-page TIFF images. Recognition results are returned in the most popular file and data exchange formats that can be saved, imported to a database, or analyzed in real time.
Changelog:
- Fixed hOCR output generation.
- Fixed multilingual recognition settings.
- Fixed a native memory leak.
- Added NaturalLanguageQueryAIProcessor to the AsposeAI module for natural language querying using LLMs.
- Added DetectDocumentType and DetectDocumentTypeAI methods to the AsposeOcr class for document type detection using rule-based and AI-powered approaches.
Check for details at https://releases.aspose.com/ocr/net/release-notes/2026/aspose-ocr-for-net-26-6-0-release-notes/
Resources:
Product page: https://products.aspose.com/ocr/net/
Advanced OCR models: https://github.com/aspose-ocr/resources
Online documentation: https://docs.aspose.com/ocr/net/
Solutions: https://docs.aspose.com/ocr/net/use-cases/
Free support forum: https://forum.aspose.com/c/ocr/16
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2 |
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Aspose.OCR
Aspose.OCR for .NET is a powerful yet easy-to-use and cost-effective API for extracting text from scanned images, photos, screenshots, PDF documents, and other files. It allows you to add optical character recognition (OCR) functionality to your .NET desktop or web application in less than 10 lines of code without worrying about complex formulas, neural networks and other technical details.
Advanced machine learning models and artificial intelligence allow you to read text in 26 languages based on Latin and Cyrillic scripts, as well as Chinese. Various pre-processing filters allow you to correct rotated and noisy images without loss of recognition accuracy. To further improve recognition results, you can turn on spell checker, which finds and automatically corrects spelling errors.
Aspose.OCR can recognize scanned images or even smartphone photos in the most popular formats: PDF, JPG, TIFF, PNG, BMP, GIF, or DjVu. You can also perform batch image recognition from a folder or ZIP archive in one call. The recognition results are returned in the most popular document and data exchange formats: plain text, PDF, Word, Excel, JSON and XML and can be further parsed and analyzed programmatically.
The library is fully compatible with other Aspose products. You can build solutions of any complexity using familiar concepts with minimal code.
Changelog
- Added an experimental preprocessing filter that corrects geometric distortions on an image.
IMPORTANT: Image dewarping can take a long time and may not be compatible with other pre-processing filters and recognition settings. See documentation for details.
Check for details at https://docs.aspose.com/ocr/net/aspose-ocr-for-net-23-2-0-release-notes/
Resources:
Online documentation: https://docs.aspose.com/ocr/net/
Free support forum: https://forum.aspose.com/c/ocr/
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2 |
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Aspose.OCR
Powerful and developer-friendly OCR API for extracting text from images and creating searchable PDFs. Add optical character recognition to on-premises solutions, web sites, cloud services, and serverless functions with just a few lines of native .NET code. Effortlessly transform scanned pages, photos, screenshots, handwritten memos, and other images into machine-readable text, regardless of the font, layout and styles. Find and compare text on images. Bulk-recognize all images from folders and archives; read multi-page PDF documents and TIFF images.
Aspose.OCR is a universal solution for document processing, data extraction, and content digitization on a global scale. Supporting over 130 European, Middle East, Asian, African and American languages, the library allows you to recognize texts in Latin, Cyrillic, Arabic, Chinese, and Hindi scrips, including text in mixed languages. The library can be used virtually everywhere, catering to both small and medium businesses as well as multinational corporations.
With Aspose.OCR, optical character recognition becomes a trivial and straightforward task, even for developers new to the technology. You can focus at business task rather than complex maths, neural networks, and other technical intricacies. Powerful image processing and customizable content structure detection algorithms enable text extraction from virtually any image, ranging from high-quality scans to street photos.
Aspose.OCR for .NET can work with virtually any file you can get from a scanner or camera, including PDF document and multi-page TIFF images. Recognition results are returned in the most popular file and data exchange formats that can be saved, imported to a database, or analyzed in real time.
Changelog:
- Improved saving of recognition results as searchable PDFs.
- Improved DetectAreasMode.PHOTO document areas detection mode.
Check for details at https://releases.aspose.com/ocr/net/release-notes/2024/aspose-ocr-for-net-24-4-1-release-notes/
Resources:
Product page: https://products.aspose.com/ocr/net/
Advanced OCR models: https://github.com/aspose-ocr/resources
Online documentation: https://docs.aspose.com/ocr/net/
Solutions: https://docs.aspose.com/ocr/net/use-cases/
Free support forum: https://forum.aspose.com/c/ocr/16
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2 |
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Aspose.OCR
Aspose.OCR for .NET is a powerful yet easy-to-use and cost-effective API for extracting text from scanned images, photos, screenshots, PDF documents, and other files. It allows you to add optical character recognition (OCR) functionality to your .NET desktop or web application in less than 10 lines of code without worrying about complex formulas, neural networks and other technical details.
Advanced machine learning models and artificial intelligence allow you to read text in 26 languages based on Latin and Cyrillic scripts, as well as Chinese. Various pre-processing filters allow you to correct rotated and noisy images without loss of recognition accuracy. To further improve recognition results, you can turn on spell checker, which finds and automatically corrects spelling errors.
Aspose.OCR can recognize scanned images or even smartphone photos in the most popular formats: PDF, JPG, TIFF, PNG, BMP, GIF, or DjVu. You can also perform batch image recognition from a folder or ZIP archive in one call. The recognition results are returned in the most popular document and data exchange formats: plain text, PDF, Word, Excel, JSON and XML and can be further parsed and analyzed programmatically.
The library is fully compatible with other Aspose products. You can build solutions of any complexity using familiar concepts with minimal code.
Changelog:
- You can selectively download advanced OCR feature as needed, keeping the project lean and modular.
- Significantly improved PDF recognition.
Check for details at https://releases.aspose.com/ocr/net/release-notes/2024/aspose-ocr-for-net-24-2-0-release-notes/
Resources:
Online documentation: https://docs.aspose.com/ocr/net/
Free support forum: https://forum.aspose.com/c/ocr/
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2 |
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Aspose.OCR
Powerful and developer-friendly OCR API for extracting text from images and creating searchable PDFs. Add optical character recognition to on-premises solutions, web sites, cloud services, and serverless functions with just a few lines of native .NET code. Effortlessly transform scanned pages, photos, screenshots, handwritten memos, and other images into machine-readable text, regardless of the font, layout and styles. Find and compare text on images. Bulk-recognize all images from folders and archives; read multi-page PDF documents and TIFF images.
Aspose.OCR is a universal solution for document processing, data extraction, and content digitization on a global scale. Supporting over 130 European, Middle East, Asian, African and American languages, the library allows you to recognize texts in Latin, Cyrillic, Arabic, Chinese, and Hindi scrips, including text in mixed languages. The library can be used virtually everywhere, catering to both small and medium businesses as well as multinational corporations.
With Aspose.OCR, optical character recognition becomes a trivial and straightforward task, even for developers new to the technology. You can focus at business task rather than complex maths, neural networks, and other technical intricacies. Powerful image processing and customizable content structure detection algorithms enable text extraction from virtually any image, ranging from high-quality scans to street photos.
Aspose.OCR for .NET can work with virtually any file you can get from a scanner or camera, including PDF document and multi-page TIFF images. Recognition results are returned in the most popular file and data exchange formats that can be saved, imported to a database, or analyzed in real time.
Changelog:
- Added RegionResult to RecognitionResult: provides detected regions (type and text) in MULTICOLUMN mode and for manually defined regions.
Check for details at https://releases.aspose.com/ocr/net/release-notes/2026/aspose-ocr-for-net-26-5-0-release-notes/
Resources:
Product page: https://products.aspose.com/ocr/net/
Advanced OCR models: https://github.com/aspose-ocr/resources
Online documentation: https://docs.aspose.com/ocr/net/
Solutions: https://docs.aspose.com/ocr/net/use-cases/
Free support forum: https://forum.aspose.com/c/ocr/16
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2 |
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Aspose.OCR
Powerful and developer-friendly OCR API for extracting text from images and creating searchable PDFs. Add optical character recognition to on-premises solutions, web sites, cloud services, and serverless functions with just a few lines of native .NET code. Effortlessly transform scanned pages, photos, screenshots, handwritten memos, and other images into machine-readable text, regardless of the font, layout and styles. Find and compare text on images. Bulk-recognize all images from folders and archives; read multi-page PDF documents and TIFF images.
Aspose.OCR is a universal solution for document processing, data extraction, and content digitization on a global scale. Supporting over 130 European, Middle East, Asian, African and American languages, the library allows you to recognize texts in Latin, Cyrillic, Arabic, Chinese, and Hindi scrips, including text in mixed languages. The library can be used virtually everywhere, catering to both small and medium businesses as well as multinational corporations.
With Aspose.OCR, optical character recognition becomes a trivial and straightforward task, even for developers new to the technology. You can focus at business task rather than complex maths, neural networks, and other technical intricacies. Powerful image processing and customizable content structure detection algorithms enable text extraction from virtually any image, ranging from high-quality scans to street photos.
Aspose.OCR for .NET can work with virtually any file you can get from a scanner or camera, including PDF document and multi-page TIFF images. Recognition results are returned in the most popular file and data exchange formats that can be saved, imported to a database, or analyzed in real time.
Changelog:
- Added Arabic language recognition and recognition of texts in mixed Arabic/English.
- Enabled recognition process cancellation.
Check for details at https://releases.aspose.com/ocr/net/release-notes/2024/aspose-ocr-for-net-24-4-0-release-notes/
Resources:
Product page: https://products.aspose.com/ocr/net/
Advanced OCR models: https://github.com/aspose-ocr/resources
Online documentation: https://docs.aspose.com/ocr/net/
Solutions: https://docs.aspose.com/ocr/net/use-cases/
Free support forum: https://forum.aspose.com/c/ocr/16
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2 |
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Aspose.OCR
Powerful and developer-friendly OCR API for extracting text from images and creating searchable PDFs. Add optical character recognition to on-premises solutions, web sites, cloud services, and serverless functions with just a few lines of native .NET code. Effortlessly transform scanned pages, photos, screenshots, handwritten memos, and other images into machine-readable text, regardless of the font, layout and styles. Find and compare text on images. Bulk-recognize all images from folders and archives; read multi-page PDF documents and TIFF images.
Aspose.OCR is a universal solution for document processing, data extraction, and content digitization on a global scale. Supporting over 130 European, Middle East, Asian, African and American languages, the library allows you to recognize texts in Latin, Cyrillic, Arabic, Chinese, and Hindi scrips, including text in mixed languages. The library can be used virtually everywhere, catering to both small and medium businesses as well as multinational corporations.
With Aspose.OCR, optical character recognition becomes a trivial and straightforward task, even for developers new to the technology. You can focus at business task rather than complex maths, neural networks, and other technical intricacies. Powerful image processing and customizable content structure detection algorithms enable text extraction from virtually any image, ranging from high-quality scans to street photos.
Aspose.OCR for .NET can work with virtually any file you can get from a scanner or camera, including PDF document and multi-page TIFF images. Recognition results are returned in the most popular file and data exchange formats that can be saved, imported to a database, or analyzed in real time.
Changelog:
- Added Markdown (.md) as a new save format
- Improved DOCX export: images are now extracted and embedded
- Added support for automatic language detection during recognition
Check for details at https://releases.aspose.com/ocr/net/release-notes/2025/aspose-ocr-for-net-25-5-0-release-notes/
Resources:
Product page: https://products.aspose.com/ocr/net/
Advanced OCR models: https://github.com/aspose-ocr/resources
Online documentation: https://docs.aspose.com/ocr/net/
Solutions: https://docs.aspose.com/ocr/net/use-cases/
Free support forum: https://forum.aspose.com/c/ocr/16
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2 |
.NET Core 0.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.18.0)
.NET Standard 0.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.18.0)
.NET Framework 0.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.18.0)
MonoAndroid 11.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.18.0)
Xamarin.iOS 1.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.18.0)
.NET 6.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.18.0)
.NET 6.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.18.0)
.NET 6.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.18.0)
.NET 6.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.18.0)
| Version | Downloads | Last updated |
|---|---|---|
| 1.30.0 | 2 | 2026/9/17 |
| 1.29.0 | 2 | 2026/8/13 |
| 1.28.0 | 2 | 2026/7/30 |
| 1.28.0-rc.1 | 1 | 2026/9/17 |
| 1.27.1 | 1 | 2026/9/17 |
| 1.27.0 | 0 | 2026/6/16 |
| 1.26.0 | 0 | 2026/5/8 |
| 1.25.1 | 0 | 2026/4/27 |
| 1.25.0 | 0 | 2026/4/24 |
| 1.25.0-rc.1 | 1 | 2026/9/22 |
| 1.24.4 | 0 | 2026/3/21 |
| 1.24.3 | 0 | 2026/3/5 |
| 1.24.2 | 0 | 2026/2/19 |
| 1.24.1 | 0 | 2026/2/5 |
| 1.23.2 | 0 | 2025/10/25 |
| 1.23.1 | 2 | 2026/9/22 |
| 1.23.0 | 0 | 2025/9/26 |
| 1.23.0-rc.2 | 2 | 2026/8/20 |
| 1.23.0-rc.1 | 0 | 2025/9/3 |
| 1.22.1 | 0 | 2025/7/1 |
| 1.22.0 | 0 | 2025/5/9 |
| 1.21.0 | 0 | 2025/3/7 |
| 1.20.1 | 0 | 2024/11/21 |
| 1.20.0 | 0 | 2024/10/31 |
| 1.19.2 | 0 | 2024/9/3 |
| 1.19.1 | 0 | 2024/8/21 |
| 1.19.0 | 0 | 2024/8/15 |
| 1.18.1 | 1 | 2026/9/22 |
| 1.18.0 | 0 | 2024/5/17 |
| 1.17.3 | 0 | 2024/4/10 |
| 1.17.1 | 0 | 2024/2/25 |
| 1.17.0 | 0 | 2024/1/31 |
| 1.16.3 | 1 | 2026/9/17 |
| 1.16.2 | 0 | 2023/11/9 |
| 1.16.1 | 1 | 2026/9/22 |
| 1.16.0 | 0 | 2023/9/19 |
| 1.15.1 | 0 | 2023/6/16 |
| 1.15.0 | 0 | 2023/5/24 |
| 1.15.0-rc | 1 | 2026/9/22 |
| 1.15.0-alpha | 2 | 2026/9/22 |
| 1.14.1 | 0 | 2023/2/27 |
| 1.14.0 | 0 | 2023/2/10 |
| 1.13.1 | 1 | 2026/9/22 |
| 1.12.1 | 0 | 2022/8/4 |
| 1.12.0 | 0 | 2022/7/22 |
| 1.11.0 | 1 | 2026/9/22 |
| 1.10.0 | 1 | 2026/9/22 |
| 1.9.0 | 1 | 2026/9/16 |
| 1.8.1 | 1 | 2026/9/16 |
| 1.8.0 | 1 | 2026/9/16 |
| 1.7.0 | 1 | 2026/9/16 |
| 1.6.0 | 1 | 2026/9/16 |
| 1.5.2 | 1 | 2026/9/16 |
| 1.5.1 | 1 | 2026/9/16 |
| 1.4.0 | 1 | 2026/9/16 |
| 1.3.0 | 1 | 2026/9/13 |
| 1.2.0 | 1 | 2026/9/16 |
| 1.1.2 | 1 | 2026/9/16 |
| 1.1.1 | 2 | 2026/9/16 |
| 1.1.0 | 1 | 2026/9/16 |
| 1.0.0 | 1 | 2026/9/16 |
| 0.5.1 | 1 | 2026/9/16 |
| 0.5.0 | 1 | 2026/9/16 |
| 0.4.0 | 1 | 2026/9/16 |
| 0.3.1 | 1 | 2026/9/16 |
| 0.3.0 | 1 | 2026/9/16 |
| 0.2.1 | 1 | 2026/9/16 |
| 0.1.5 | 1 | 2026/9/16 |