PyRadar

Compare Python libraries fast — transparent, minimal, to the point.

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Choose a category below to start comparing libraries.

Featured Packages

Popular Python libraries across different categories.

FastAPI
High-performance async APIs with automatic OpenAPI docs.
web-frameworks
Loguru
Delightful logging for Python with zero-config colorful output.
logging-frameworks
Polars
Lightning-fast DataFrame library with lazy evaluation and multi-threading.
data-analysis-frameworks
Requests
Human-friendly HTTP client.
http-clients-frameworks
LangChain
Modular framework for building LLM apps and agent workflows(Includes LangGraph).
llm-orchestration-frameworks
Streamlit
Turn Python scripts into interactive data web apps in minutes.
app-frameworks
Pytest
Modern testing framework with powerful fixtures, plugins, and concise test syntax.
code-testing-frameworks
Pydantic
Data validation and settings management using Python type hints — creates schemas, validates data, and serializes models.
data-serialization-frameworks
Ruff
Extremely fast Python linter and formatter written in Rust — consolidates rules from Flake8, isort, pyupgrade, and more.
linting-&-formating-frameworks
PRegEx
Programmable Regular Expressions — object-based API for constructing, combining, and managing regex patterns in Python.
regex-frameworks
Weaviate
Open-source vector database and semantic search engine with hybrid queries, schema, and generative search.
vector-database-frameworks
LangSmith
Unified observability & evaluation platform for LLM/agent applications — tracing, dashboards, alerts, feedback & evaluation.
agent-monitoring-frameworks
What developers consider
Quick checklist for choosing a library.
Community maturityHow mature and well-documented is the library?
PopularityHow widely adopted is the library?
PerformanceHow fast and efficient is the library for your use case?
EcosystemHow rich is the ecosystem around the library?
Ease of useHow easy is it to learn and use the library?