Best Safest PyPI Packages 2026
El más seguro pypi packages in 2026 is charset-normalizer con una Puntuación de Confianza Nerq de 81/100 (A-), based on Nerq's independent analysis of 50 safest pypi packages across 5 trust dimensiones. Se actualiza diariamente — última actualización: 2026-07-16.
Según Nerq's analysis, the top 5 safest pypi packages by trust score are: 1. charset-normalizer (81/100), 2. pygments (81/100), 3. httpx (81/100), 4. awscli (81/100), 5. aiohttp (81/100). Nerq Trust Scores range from 79 to 81 among the top 50. Scores are based on 5 independent trust dimensiones including seguridad, mantenimiento, and adopción por la comunidad. Se actualiza diariamente.
| # | Nombre | Confianza | Grado |
|---|---|---|---|
| 1 | charset-normalizer | 81 | A- |
| 2 | pygments | 81 | A- |
| 3 | httpx | 81 | A- |
| 4 | awscli | 81 | A- |
| 5 | aiohttp | 81 | A- |
| 6 | lxml | 81 | A- |
| 7 | coverage | 81 | A- |
| 8 | langchain | 81 | A- |
| 9 | google-cloud-storage | 81 | A- |
| 10 | huggingface-hub | 81 | A- |
Top 50 Safest PyPI Packages por Nerq Trust Score
| # | Nombre | Confianza | Grado | Estrellas | Descripción |
|---|---|---|---|---|---|
| 1 | charset-normalizer | 81 | A- | 289802.2k | The Real First Universal Charset Detector. Open, modern and activamente mantenido alternative to Chard... |
| 2 | pygments | 81 | A- | 168400.0k | Pygments is a syntax highlighting package written in Python. |
| 3 | httpx | 81 | A- | 114476.9k | The next generation HTTP client. |
| 4 | awscli | 81 | A- | 101217.6k | Universal Command Line Environment for AWS. |
| 5 | aiohttp | 81 | A- | 93596.9k | Async http client/server framework (asyncio) |
| 6 | lxml | 81 | A- | 62070.5k | Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API. |
| 7 | coverage | 81 | A- | 55370.0k | Code coverage measurement for Python |
| 8 | langchain | 81 | A- | 52207.7k | Building applications with LLMs through composability |
| 9 | google-cloud-storage | 81 | A- | 51552.1k | Google Cloud Storage API client library |
| 10 | huggingface-hub | 81 | A- | 47675.5k | Client library to download and publish models, datasets and other repos on the huggingface.co hub |
| 11 | mypy | 81 | A- | 31768.8k | Optional static typing for Python |
| 12 | azure-storage-blob | 81 | A- | 27365.3k | Microsoft Azure Blob Storage Client Library for Python |
| 13 | sentry-sdk | 81 | A- | 26990.9k | Python client for Sentry (https://sentry.io) |
| 14 | cython | 81 | A- | 26775.6k | The Cython compiler for writing C extensions in the Python language. |
| 15 | langchain-core | 81 | A- | 22716.8k | Building applications with LLMs through composability |
| 16 | litellm | 81 | A- | 21487.8k | Library to easily interface with LLM API providers |
| 17 | anthropic | 81 | A- | 19615.1k | The official Python library for the anthropic API |
| 18 | slack-sdk | 81 | A- | 18872.9k | The Slack API Platform SDK for Python |
| 19 | langsmith | 81 | A- | 17397.3k | Client library to connect to the LangSmith Observability and Evaluation Platform. |
| 20 | datasets | 81 | A- | 16324.3k | HuggingFace community-driven open-source library of datasets |
| 21 | argcomplete | 81 | A- | 16059.3k | Bash tab completion for argparse |
| 22 | bleach | 81 | A- | 14215.0k | An easy safelist-based HTML-sanitizing tool. |
| 23 | plotly | 81 | A- | 13779.0k | An open-source interactive data visualization library for Python |
| 24 | weaviate-client | 81 | A- | 12971.4k | A python native Weaviate client |
| 25 | aenum | 81 | A- | 11332.7k | Advanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, and NamedConstants |
| 26 | billiard | 81 | A- | 11021.4k | Python multiprocessing fork with improvements and bugfixes |
| 27 | amqp | 81 | A- | 10862.9k | Low-level AMQP client for Python (fork of amqplib). |
| 28 | opencv-python | 81 | A- | 10769.8k | Wrapper package for OpenCV python bindings. |
| 29 | transformers | 81 | A- | 29252.9k | Transformers: the model-definition framework for state-of-the-art machine learning models in text, v... |
| 30 | aliyun-python-sdk-core | 81 | A- | 19375.0k | The core module of Aliyun Python SDK. |
| 31 | botocore | 81 | A- | 273580.2k | Low-level, data-driven core of boto 3. |
| 32 | ray | 81 | A- | 11620.3k | Ray provides a simple, universal API for building distributed applications. |
| 33 | sympy | 81 | A- | 37672.1k | Computer algebra system (CAS) in Python |
| 34 | selenium | 81 | A- | 12220.1k | Official Python bindings for Selenium WebDriver |
| 35 | pandas | 81 | A- | 137448.6k | Powerful data structures for data analysis, time series, and statistics |
| 36 | torch | 80 | B+ | 19707.1k | 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 | Infrastructure as code static analysis |
| 40 | sendgrid | 79 | B+ | 7197.4k | Twilio SendGrid library for Python |
| 41 | pyright | 79 | B+ | 6919.7k | Command line wrapper for pyright |
| 42 | azure-datalake-store | 79 | B+ | 5603.1k | Azure Data Lake Store Filesystem Client Library for Python |
| 43 | aws-sam-translator | 79 | B+ | 5383.4k | AWS SAM Translator is a library that transform SAM templates into AWS CloudFormation templates |
| 44 | spacy | 79 | B+ | 5320.1k | Industrial-strength Natural Language Processing (NLP) in Python |
| 45 | wandb | 79 | B+ | 5081.6k | A CLI and library for interacting with the Weights & Biases API. |
| 46 | tensorflow | 79 | B+ | 5033.5k | TensorFlow is an open source machine learning framework for everyone. |
| 47 | blis | 79 | B+ | 5014.7k | The Blis BLAS-like linear algebra library, as a self-contained C-extension. |
| 48 | aws-lambda-powertools | 79 | B+ | 4779.4k | Powertools for AWS Lambda (Python) is a developer toolkit to implement Serverless best practices and... |
| 49 | twilio | 79 | B+ | 4376.7k | Twilio API client and TwiML generator |
| 50 | azure-storage-file-share | 79 | B+ | 3907.6k | Microsoft Azure Azure File Share Storage Client Library for Python |
Cómo clasificamos Safest PyPI Packages
These safest pypi packages are ranked por Nerq Trust Score, which evaluates seguridad, mantenimiento, adopción por la comunidad, and transparency across multiple data points. Only entities with a trust score of 30 or above are included. Las puntuaciones se actualizan continuamente a medida que hay nuevos datos.
Preguntas frecuentes
¿Cuáles son los mejores Best Safest PyPI Packages en 2026?
Basado en puntuaciones de confianza Nerq, los Best Safest PyPI Packages mejor clasificados están listados arriba, evaluados en seguridad, mantenimiento, documentación y adopción comunitaria.
¿Cómo se clasifican los Best Safest PyPI Packages?
Nerq clasifica herramientas usando Trust Score v2, que combina análisis de seguridad, actividad de mantenimiento, calidad de documentación y adopción comunitaria.
¿Son seguros estos Best Safest PyPI Packages?
Cada herramienta tiene un informe de seguridad individual. Haga clic en cualquier nombre para ver su análisis de confianza detallado.
¿Qué significa un Nerq Trust Score de A?
La calificación A (80–89) significa que la entidad tiene señales fuertes en seguridad, mantenimiento, documentación y adopción comunitaria. A+ (90–100) es la calificación más alta.
¿Cómo evalúa Nerq los Best Safest PyPI Packages?
Nerq analiza Best Safest PyPI Packages en múltiples dimensiones incluyendo vulnerabilidades, cumplimiento de licencias, actividad de mantenimiento, calidad de documentación y adopción comunitaria. Cada dimensión se puntúa independientemente y se combina en una puntuación de confianza general (0–100).