Best Safest PyPI Packages 2026

Il più sicuro #1 pypi packages in 2026 is lxml con un Punteggio di fiducia Nerq di 81/100 (A-), based on Nerq's independent analysis of 50 safest pypi packages across 5 trust dimensioni. Aggiornato quotidianamente — ultimo aggiornamento: 2026-08-10.

Secondo Nerq'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 dimensioni including sicurezza, manutenzione, and adozione della comunità. Aggiornato quotidianamente.

Top 10 Safest PyPI Packages per Nerq Trust Score (2026)
#NomeFiduciaVoto
1lxml81A-
2coverage81A-
3huggingface-hub81A-
4mypy81A-
5cython81A-
6langchain-core81A-
7argcomplete81A-
8bleach81A-
9plotly81A-
10weaviate-client81A-

Top 50 Safest PyPI Packages per Nerq Trust Score

#NomeFiduciaVotoStarsDescrizione
1lxml81A-107507.7kPowerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API.
2coverage81A-77202.5kCode coverage measurement for Python
3huggingface-hub81A-119015.4kClient library to download and publish models, datasets and other repos on the huggingface.co hub
4mypy81A-53958.1kOptional static typing for Python
5cython81A-30527.5kThe Cython compiler for writing C extensions in the Python language.
6langchain-core81A-38259.9kBuilding applications with LLMs through composability
7argcomplete81A-16059.3kBash tab completion for argparse
8bleach81A-14215.0kAn easy safelist-based HTML-sanitizing tool.
9plotly81A-13779.0kAn open-source interactive data visualization library for Python
10weaviate-client81A-12971.4kA python native Weaviate client
11aenum81A-11332.7kAdvanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, and NamedConstants
12billiard81A-11021.4kPython multiprocessing fork with improvements and bugfixes
13amqp81A-10862.9kLow-level AMQP client for Python (fork of amqplib).
14opencv-python81A-10769.8kWrapper package for OpenCV python bindings.
15ray81A-11620.3kRay provides a simple, universal API for building distributed applications.
16charset-normalizer81A-397155.8kThe Real First Universal Charset Detector. Open, modern and attivamente mantenuto alternative to Chard...
17botocore81A-342837.1kLow-level, data-driven core of boto 3.
18httpx81A-178334.2kThe next generation HTTP client.
19aiohttp81A-93596.9kAsync http client/server framework (asyncio)
20langchain81A-66420.6kBuilding applications with LLMs through composability
21transformers81A-48067.1kTransformers: the model-definition framework for state-of-the-art machine learning models in text, v...
22litellm81A-21487.8kLibrary to easily interface with LLM API providers
23anthropic81A-19615.1kThe official Python library for the anthropic API
24aliyun-python-sdk-core81A-19375.0kThe core module of Aliyun Python SDK.
25slack-sdk81A-18872.9kThe Slack API Platform SDK for Python
26sentry-sdk81A-43137.4kPython client for Sentry (https://sentry.io)
27datasets81A-16324.3kHuggingFace community-driven open-source library of datasets
28langsmith81A-28896.9kClient library to connect to the LangSmith Observability and Evaluation Platform.
29awscli81A-101217.6kUniversal Command Line Environment for AWS.
30pygments81A-280532.9kPygments is a syntax highlighting package written in Python.
31google-cloud-storage81A-60304.9kGoogle Cloud Storage API client library
32azure-storage-blob81A-33500.7kMicrosoft Azure Blob Storage Client Library for Python
33sympy81A-40279.7kComputer algebra system (CAS) in Python
34selenium81A-12220.1kOfficial Python bindings for Selenium WebDriver
35pandas81A-188816.6kPowerful data structures for data analysis, time series, and statistics
36torch80B+23294.9kTensors and Dynamic neural networks in Python with strong GPU acceleration
37azure-storage-file-datalake79B+8465.2kMicrosoft Azure File DataLake Storage Client Library for Python
38azure-storage-queue79B+7394.4kMicrosoft Azure Azure Queue Storage Client Library for Python
39checkov79B+7282.9kInfrastructure as code static analysis
40sendgrid79B+7197.4kTwilio SendGrid library for Python
41spacy79B+5611.8kIndustrial-strength Natural Language Processing (NLP) in Python
42blis79B+5014.7kThe Blis BLAS-like linear algebra library, as a self-contained C-extension.
43twilio79B+4376.7kTwilio API client and TwiML generator
44atlassian-python-api79B+3148.8kPython Atlassian REST API Wrapper
45azure-mgmt-containerregistry79B+3135.9kMicrosoft Azure Containerregistry Management Client Library for Python
46motor79B+1911.3kNon-blocking MongoDB driver for Tornado or asyncio
47azure-mgmt-sql79B+1753.6kMicrosoft Azure SQL Management Client Library for Python
48azure-cli-core79B+1627.0kMicrosoft Azure Command-Line Tools Core Module
49allure-python-commons79B+1571.5kContains the API for end users as well as helper functions and classes to build Allure adapters for ...
50azure-cli79B+1558.6kMicrosoft Azure Command-Line Tools

Come classifichiamo Safest PyPI Packages

These safest pypi packages are ranked per Nerq Trust Score, which evaluates sicurezza, manutenzione, adozione della comunità, and transparency across multiple data points. Only entities with a trust score of 30 or above are included. I punteggi vengono aggiornati continuamente quando sono disponibili nuovi dati.

Domande frequenti

Quali sono i migliori Best Safest PyPI Packages nel 2026?

In base ai punteggi di fiducia Nerq, i Best Safest PyPI Packages meglio classificati sono elencati sopra, valutati su sicurezza, manutenzione, documentazione e adozione comunitaria.

Come vengono classificati i Best Safest PyPI Packages?

Nerq classifica gli strumenti utilizzando il Trust Score v2, che combina analisi di sicurezza, attività di manutenzione, qualità della documentazione e adozione comunitaria.

Questi Best Safest PyPI Packages sono sicuri da usare?

Ogni strumento ha un rapporto di sicurezza individuale. Clicca su qualsiasi nome per vedere l'analisi di fiducia dettagliata.

Cosa significa un Nerq Trust Score di A?

Il voto A (80–89) significa che l'entità ha segnali forti in sicurezza, manutenzione, documentazione e adozione comunitaria. A+ (90–100) è il voto più alto.

Come valuta Nerq i Best Safest PyPI Packages?

Nerq analizza i Best Safest PyPI Packages su più dimensioni tra cui vulnerabilità di sicurezza, conformità delle licenze, attività di manutenzione, qualità della documentazione e adozione comunitaria. Ogni dimensione è valutata indipendentemente e combinata in un punteggio di fiducia complessivo (0–100).

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