azure-cognitiveservices-vision-computervision
Microsoft Azure Cognitive Services Computer Vision Client Library for Python
Decision gist · record as of 2026-08-14
No. This package is deprecated and will receive only security fixes through 11-01-2024, after which it will be abandoned. New projects should use azure-ai-vision-imageanalysis instead. Existing users should prioritize migration to avoid being stranded on an unmaintained dependency. Install only if maintaining legacy code that cannot yet be refactored.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires valid Azure credentials and an active Computer Vision service endpoint on Azure.
- Low install friction with three lightweight runtime dependencies (msrest, azure-common, azure-cognitiveservices-vision-nspkg).
- Repository remains active, though the package itself is deprecated as of 11-01-2024 and will receive only security fixes.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions, making it safe to adopt from a licensing perspective.
last release 2024-11-01 (651 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 331,554 downloads/mo, #7,514 on PyPI
Alternatives
Verify before relying
pip install azure-cognitiveservices-vision-computervision
from azure.cognitiveservices.vision.computervision import ComputerVisionClient
client = ComputerVisionClient(endpoint, credentials)- Whether security fixes will actually be provided after 11-01-2024 or if the package will be fully abandoned.
- Compatibility with modern Python versions beyond 3.8, given the classifier list ends there.
- Whether the replacement package azure-ai-vision-imageanalysis is a drop-in replacement or requires significant code changes.
What it is and what it does
This is the deprecated Azure SDK for Computer Vision in Python, providing a client library to interact with Microsoft's Computer Vision API on Azure. It wraps REST calls to perform image analysis operations including object detection, optical character recognition (OCR), image tagging, content description, and thumbnail generation. The package depends on msrest for HTTP communication and azure-common for shared Azure SDK utilities.
The package is no longer actively maintained as of 11-01-2024 and will only receive security fixes until that date. New projects should migrate to the replacement package azure-ai-vision-imageanalysis. Existing codebases using this library will continue to function but should plan a migration path to avoid being stranded on an unmaintained dependency.
Use it for
- Extract text from images via OCR for document processing or data entry automation workflows.
- Detect and classify objects within images for inventory management or visual content moderation.
- Generate automatic captions or tags for images in content management or photo library systems.
- Maintain legacy Python applications that depend on this SDK until migration to azure-ai-vision-imageanalysis is complete.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
This package is deprecated and will receive only security fixes through 11-01-2024, after which it will be abandoned. New projects should use azure-ai-vision-imageanalysis instead. Existing users should prioritize migration to avoid being stranded on an unmaintained dependency. Install only if maintaining legacy code that cannot yet be refactored.
Install
azure-cognitiveservices-vision-computervision on PyPI
Before you install
Low install friction with three lightweight runtime dependencies (msrest, azure-common, azure-cognitiveservices-vision-nspkg). Repository remains active, though the package itself is deprecated as of 11-01-2024 and will receive only security fixes.
Requires valid Azure credentials and an active Computer Vision service endpoint on Azure.
License in practice
MIT License permits commercial and private use with minimal restrictions, making it safe to adopt from a licensing perspective.
Quickstart
pip install azure-cognitiveservices-vision-computervision
from azure.cognitiveservices.vision.computervision import ComputerVisionClient
client = ComputerVisionClient(endpoint, credentials)Verify before relying
- Whether security fixes will actually be provided after 11-01-2024 or if the package will be fully abandoned.
- Compatibility with modern Python versions beyond 3.8, given the classifier list ends there.
- Whether the replacement package azure-ai-vision-imageanalysis is a drop-in replacement or requires significant code changes.
Package facts
| License | MIT License permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesmsrestazure-commonazure-cognitiveservices-vision-nspkg |
| Maintenance | Actively maintained 651 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 331,554 / month, #7,514 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 7 - InactiveLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8 |
Evidence: azure_cognitiveservices_vision_computervision-0.9.1-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “azure computer vision api python”
- azure-cognitiveservices-vision-computervisionProvides Python bindings to call Microsoft Azure's Computer Vision…
- azure-ai-vision-imageanalysisCalls Azure's Computer Vision service to analyze images and extract…
- pyobjc-framework-VisionProvides Python bindings to macOS's Vision framework, enabling access…
Give your agent the search over MCP, or paste the wish link into any chat.
More Artificial Intelligence packages
LiteLLM provides a unified Python interface to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) using OpenAI-compatible API format, available as both a Python SDK and a self-hosted AI Gateway proxy server.
Install it if you need to work with multiple LLM providers or want to centralize LLM routing in your organization.
Client library and CLI tool for downloading, uploading, and managing models, datasets, and repositories on the Hugging Face Hub platform.
Install it if you work with Hugging Face Hub models or datasets.
LangChain provides a framework for building agents and LLM-powered applications by composing language models, tools, and memory through a unified API that abstracts over multiple model providers.
hf-xet provides chunk-based deduplication and efficient file transfer for the Hugging Face Hub, enabling faster uploads and downloads of large files with local disk caching.
Tokenizers converts raw text into token sequences for NLP models, with support for training custom vocabularies and using pre-built tokenizers (BPE, WordPiece) optimized for speed via Rust.
Transformers provides a unified framework for loading, fine-tuning, and running state-of-the-art pretrained models across text, vision, audio, video, and multimodal tasks using PyTorch, JAX, or TensorFlow.
Install it if you need to run or train any transformer-based model for NLP, vision, audio, or multimodal tasks.
See also azure-ai-vision-imageanalysis · azure-cognitiveservices-vision-customvision · azure-mgmt-scheduler · azure-mgmt-cognitiveservices · azure-mgmt-advisor · azure-mgmt-iothubprovisioningservices · azure-mgmt-hdinsight · azure-mgmt-search · azure-mgmt-batchai · azure-mgmt-subscription