Best Safest PyPI Packages 2026
가장 안전한 1위 pypi packages in 2026 is lxml Nerq 신뢰 점수 81/100 (A-), based on Nerq's independent analysis of 50 safest pypi packages across 5 trust 차원. 매일 업데이트 — 마지막 업데이트: 2026-09-09.
Nerq에 따르면's analysis, the top 5 safest pypi packages by trust score are: 1. lxml (81/100), 2. coverage (81/100), 3. huggingface-hub (81/100), 4. mypy (81/100), 5. cython (81/100). Nerq Trust Scores range from 79 to 81 among the top 50. Scores are based on 5 independent trust 차원 including 보안, 유지보수, and 커뮤니티 채택. 매일 업데이트.
| # | 이름 | 신뢰 | 등급 |
|---|---|---|---|
| 1 | lxml | 81 | A- |
| 2 | coverage | 81 | A- |
| 3 | huggingface-hub | 81 | A- |
| 4 | mypy | 81 | A- |
| 5 | cython | 81 | A- |
| 6 | langchain-core | 81 | A- |
| 7 | argcomplete | 81 | A- |
| 8 | bleach | 81 | A- |
| 9 | plotly | 81 | A- |
| 10 | weaviate-client | 81 | A- |
Top 50 Safest PyPI Packages Nerq 신뢰 점수 기준
| # | 이름 | 신뢰 | 등급 | 별점 | 설명 |
|---|---|---|---|---|---|
| 1 | lxml | 81 | A- | 107507.7k | Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API. |
| 2 | coverage | 81 | A- | 77202.5k | Code coverage measurement for Python |
| 3 | huggingface-hub | 81 | A- | 119015.4k | Client library to download and publish models, datasets and other repos on the huggingface.co hub |
| 4 | mypy | 81 | A- | 53958.1k | Optional static typing for Python |
| 5 | cython | 81 | A- | 30527.5k | The Cython compiler for writing C extensions in the Python language. |
| 6 | langchain-core | 81 | A- | 38259.9k | Building applications with LLMs through composability |
| 7 | argcomplete | 81 | A- | 16059.3k | Bash tab completion for argparse |
| 8 | bleach | 81 | A- | 14215.0k | An easy safelist-based HTML-sanitizing tool. |
| 9 | plotly | 81 | A- | 13779.0k | An open-source interactive data visualization library for Python |
| 10 | weaviate-client | 81 | A- | 12971.4k | A python native Weaviate client |
| 11 | aenum | 81 | A- | 11332.7k | Advanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, and NamedConstants |
| 12 | billiard | 81 | A- | 11021.4k | Python multiprocessing fork with improvements and bugfixes |
| 13 | amqp | 81 | A- | 10862.9k | Low-level AMQP client for Python (fork of amqplib). |
| 14 | opencv-python | 81 | A- | 10769.8k | Wrapper package for OpenCV python bindings. |
| 15 | ray | 81 | A- | 11620.3k | Ray provides a simple, universal API for building distributed applications. |
| 16 | charset-normalizer | 81 | A- | 397155.8k | The Real First Universal Charset Detector. Open, modern and 활발히 유지보수됨 alternative to Chard... |
| 17 | botocore | 81 | A- | 342837.1k | Low-level, data-driven core of boto 3. |
| 18 | httpx | 81 | A- | 178334.2k | The next generation HTTP client. |
| 19 | aiohttp | 81 | A- | 93596.9k | Async http client/server framework (asyncio) |
| 20 | langchain | 81 | A- | 66420.6k | Building applications with LLMs through composability |
| 21 | litellm | 81 | A- | 21487.8k | Library to easily interface with LLM API providers |
| 22 | anthropic | 81 | A- | 19615.1k | The official Python library for the anthropic API |
| 23 | aliyun-python-sdk-core | 81 | A- | 19375.0k | The core module of Aliyun Python SDK. |
| 24 | slack-sdk | 81 | A- | 18872.9k | The Slack API Platform SDK for Python |
| 25 | sentry-sdk | 81 | A- | 43653.5k | Python client for Sentry (https://sentry.io) |
| 26 | datasets | 81 | A- | 16324.3k | HuggingFace community-driven open-source library of datasets |
| 27 | langsmith | 81 | A- | 29612.2k | Client library to connect to the LangSmith Observability and Evaluation Platform. |
| 28 | awscli | 81 | A- | 101217.6k | Universal Command Line Environment for AWS. |
| 29 | pygments | 81 | A- | 280532.9k | Pygments is a syntax highlighting package written in Python. |
| 30 | google-cloud-storage | 81 | A- | 60304.9k | Google Cloud Storage API client library |
| 31 | transformers | 81 | A- | 48067.1k | Transformers: the model-definition framework for state-of-the-art machine learning models in text, v... |
| 32 | azure-storage-blob | 81 | A- | 33500.7k | Microsoft Azure Blob Storage Client Library for Python |
| 33 | sympy | 81 | A- | 40540.4k | Computer algebra system (CAS) in Python |
| 34 | selenium | 81 | A- | 12220.1k | Official Python bindings for Selenium WebDriver |
| 35 | pandas | 81 | A- | 188816.6k | Powerful data structures for data analysis, time series, and statistics |
| 36 | torch | 80 | B+ | 23294.9k | Tensors and Dynamic neural networks in Python with strong GPU acceleration |
| 37 | azure-storage-file-datalake | 79 | B+ | 8465.2k | Microsoft Azure File DataLake Storage Client Library for Python |
| 38 | azure-storage-queue | 79 | B+ | 7394.4k | Microsoft Azure Azure Queue Storage Client Library for Python |
| 39 | checkov | 79 | B+ | 7282.9k | 인프라 as code static analysis |
| 40 | sendgrid | 79 | B+ | 7197.4k | Twilio SendGrid library for Python |
| 41 | spacy | 79 | B+ | 5611.8k | Industrial-strength Natural Language Processing (NLP) in Python |
| 42 | blis | 79 | B+ | 5014.7k | The Blis BLAS-like linear algebra library, as a self-contained C-extension. |
| 43 | twilio | 79 | B+ | 4376.7k | Twilio API client and TwiML generator |
| 44 | atlassian-python-api | 79 | B+ | 3148.8k | Python Atlassian REST API Wrapper |
| 45 | azure-mgmt-containerregistry | 79 | B+ | 3135.9k | Microsoft Azure Containerregistry Management Client Library for Python |
| 46 | motor | 79 | B+ | 1911.3k | Non-blocking MongoDB driver for Tornado or asyncio |
| 47 | azure-mgmt-sql | 79 | B+ | 1753.6k | Microsoft Azure SQL Management Client Library for Python |
| 48 | azure-cli-core | 79 | B+ | 1627.0k | Microsoft Azure Command-Line Tools Core Module |
| 49 | allure-python-commons | 79 | B+ | 1571.5k | Contains the API for end users as well as helper functions and classes to build Allure adapters for ... |
| 50 | azure-cli | 79 | B+ | 1558.6k | Microsoft Azure Command-Line Tools |
순위 방법 Safest PyPI Packages
These safest pypi packages are ranked Nerq 신뢰 점수 기준, which evaluates 보안, 유지보수, 커뮤니티 채택, and transparency across multiple data points. Only entities with a trust score of 30 or above are included. 새로운 데이터가 제공되면 점수가 지속적으로 업데이트됩니다.
자주 묻는 질문
2026년 최고의 Best Safest PyPI Packages는?
Nerq 신뢰 점수를 기반으로 최고 등급의 Best Safest PyPI Packages가 위에 나열되어 있으며, 보안, 유지관리, 문서화 및 커뮤니티 지표로 평가됩니다.
Best Safest PyPI Packages는 어떻게 순위가 매겨지나요?
Nerq는 보안 분석, 유지관리 활동, 문서화 품질, 커뮤니티 채택을 결합한 Trust Score v2로 도구를 순위 매깁니다.
이 Best Safest PyPI Packages는 사용하기 안전한가요?
각 도구에는 개별 안전 보고서가 있습니다. 도구 이름을 클릭하면 상세한 신뢰 분석을 볼 수 있습니다.
Nerq Trust Score A는 무엇을 의미하나요?
A 등급(80–89)은 보안, 유지관리, 문서화, 커뮤니티 채택에서 강한 신호를 가진다는 뜻입니다. A+(90–100)는 최고 등급입니다.
Nerq는 Best Safest PyPI Packages를 어떻게 평가하나요?
Nerq는 보안 취약점, 라이선스 준수, 유지관리 활동, 문서화 품질, 커뮤니티 채택 등 여러 차원에서 Best Safest PyPI Packages를 분석합니다. 각 차원은 독립적으로 점수가 매겨지고 전체 신뢰 점수(0–100)로 통합됩니다.