This article examines the best Python microframeworks. Micro means the framework is small, with little or no tools and libraries.
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Tag: API
17 Best Free and Open Source Python Web Frameworks
A framework “is a code library that makes a developer’s life easier when building reliable, scalable, and maintainable web applications” by providing reusable code or extensions for common operations.
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Robyn – high-performance asynchronous web framework
Robyn is a high-performance web framework with sync and async handlers, WebSockets, middleware, sessions and automatic OpenAPI.
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Gatus – developer-oriented status dashboard
Gatus provides configurable health checks for HTTP and other protocols, with dashboard status reporting, conditions, alerts and metrics.
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OpenStatus – status page and uptime monitoring platform
OpenStatus monitors websites, APIs and networks, combining configurable status pages, incident management, alerts and monitoring as code.
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BlackSheep – asynchronous ASGI web framework
BlackSheep is an asynchronous ASGI web framework with dependency injection, typed request binding, OpenAPI docs and authentication.
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Litestar – flexible ASGI web application framework
Litestar is an ASGI web framework with dependency injection, OpenAPI docs, controllers, validation, caching, middleware and WebSockets.
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Hulak – file-based API client for the terminal
Hulak is a file-based API client for the terminal. It lets you define API requests as YAML files, keep them in Git, and run them directly.
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Nexus – terminal-based HTTP client for API testing
Nexus is a terminal-based HTTP client for API testing built in Rust.
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ROBODoc – generate documentation from source code comments
ROBODoc extracts structured code comments into technical reference documentation, with HTML cross-links and several output formats.
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Resonance – clean and minimal API client
Resonance is an API client application designed to provide an excellent user experience for testing and interacting with APIs.
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marshmallow – object serialization and data validation
marshmallow validates and transforms structured application data with declarative schemas, custom fields, nested objects, and serialization.
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Pydantic – data validation using Python type hints
Pydantic validates structured data using Python type hints, with custom validators, strict typing, serialization, and JSON Schema generation.
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Cerberus – lightweight and extensible data validation library
Cerberus validates dictionaries with declarative schemas, type checks, dependencies, normalization rules, and extensible custom validators.
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Valideer – lightweight data validation and adaptation library
Valideer checks and transforms structured values with declarative schemas, built-in validators, custom rules, and detailed errors.
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jsonschema – implementation of JSON Schema for Python
jsonschema validates JSON-compatible data against schemas, supports multiple JSON Schema drafts, and provides detailed error reporting.
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HTTPie – user-friendly command-line HTTP client
HTTPie simplifies API requests with readable syntax, formatted JSON, file uploads, authentication, persistent sessions and downloads.
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curl – command-line data transfer tool and library
curl transfers data across web, file and messaging protocols with authentication, proxies, parallel requests and libcurl integration.
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curlie – HTTPie-style interface for curl
curlie combines curl’s transfer capabilities with HTTPie-inspired syntax, readable output, streaming responses and curl command previews.
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Meilisearch – fast application search engine
Meilisearch delivers typo-tolerant application search with filtering, ranking, synonyms, federated queries and hybrid vector retrieval.
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