flask-swagger
Extract swagger specs from your flask project
Decision gist · record as of 2026-08-14
No—unless you are maintaining legacy code already using this package. The project is abandoned (last release 2019, last commit 2021) with no active maintenance. For new projects, use actively maintained alternatives like Flask-RESTX, Flasgger, or Connexion that support modern OpenAPI 3.0 specs and receive regular updates. The low install friction and permissive license do not offset the risk of relying on unmaintained code.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with only Flask and PyYAML as runtime dependencies.
- However, the package is abandoned—last release was 2019-03-26 and last commit 2021-11-18.
- No active maintenance means security updates and compatibility fixes are unlikely.
License · maintenance · safety
MIT (permissive) — MIT license is permissive and imposes minimal restrictions; you can use, modify, and distribute the package freely with attribution.
last release 2019-03-26 (2698 days) · last repo commit 2021-11-18 · 457 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 151,808 downloads/mo, #10,920 on PyPI
Alternatives
Verify before relying
pip install flask-swagger
from flask import Flask, jsonify
from flask_swagger import swagger
app = Flask(__name__)
@app.route("/spec")
def spec():
return jsonify(swagger(app))- Whether the package works reliably with modern Flask and PyYAML versions given its abandoned status
- Compatibility with Python versions beyond 3.4 (classifiers list 3.4 but no requires_python constraint)
- Whether Swagger 2.0 spec extraction meets current OpenAPI/Swagger UI expectations
What it is and what it does
flask-swagger is a documentation extraction tool that reads YAML docstrings embedded in Flask view functions and MethodView methods, then generates a Swagger 2.0 specification object. It parses the YAML following a convention where content before `---` becomes the endpoint summary and description, and content after becomes the Operation object (parameters, responses, schemas, tags). The tool supports inline schema definitions with an `id` field that get collected into a definitions section, and handles nested schemas within properties.
You use it by calling the `swagger()` function on your Flask app to generate a spec dictionary, which you then expose via a Flask route (typically `/spec`) and serve to Swagger UI or other documentation consumers. The spec returned is minimal—you're expected to augment it with metadata like API title and version. The package depends only on Flask and PyYAML, making installation straightforward, but it has been unmaintained since 2019 and is unlikely to receive updates for newer Swagger or Flask versions.
Use it for
- Generate Swagger 2.0 documentation from existing Flask endpoints without writing separate spec files
- Serve API specs to Swagger UI for interactive API exploration and testing
- Export Flask API contracts for client code generation or third-party integrations
- Document MethodView-based REST APIs by embedding operation details in docstrings
- Build minimal API documentation endpoints that reflect your current Flask routes
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—unless you are maintaining legacy code already using this package.
The project is abandoned (last release 2019, last commit 2021) with no active maintenance. For new projects, use actively maintained alternatives like Flask-RESTX, Flasgger, or Connexion that support modern OpenAPI 3.0 specs and receive regular updates. The low install friction and permissive license do not offset the risk of relying on unmaintained code.
Install
flask-swagger on PyPI
Before you install
Low install friction with only Flask and PyYAML as runtime dependencies. However, the package is abandoned—last release was 2019-03-26 and last commit 2021-11-18. No active maintenance means security updates and compatibility fixes are unlikely.
License in practice
MIT license is permissive and imposes minimal restrictions; you can use, modify, and distribute the package freely with attribution.
Quickstart
pip install flask-swagger
from flask import Flask, jsonify
from flask_swagger import swagger
app = Flask(__name__)
@app.route("/spec")
def spec():
return jsonify(swagger(app))Verify before relying
- Whether the package works reliably with modern Flask and PyYAML versions given its abandoned status
- Compatibility with Python versions beyond 3.4 (classifiers list 3.4 but no requires_python constraint)
- Whether Swagger 2.0 spec extraction meets current OpenAPI/Swagger UI expectations
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesFlaskPyYAML |
| Maintenance | Abandoned 2,698 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 151,808 / month, #10,920 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.4Topic :: Software Development :: Libraries :: Python Modules |
Evidence: flask_swagger-0.2.14-py2-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “swagger spec from flask”
- flask-swaggerExtracts Swagger 2.0 API specifications from Flask applications by…
- swagger-ui-pyIntegrates Swagger UI documentation into Python web frameworks…
- flasggerFlasgger extracts OpenAPI specifications from Flask views and serves…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also flasgger · flask-swagger-ui · swagger-ui-py · swagger-ui-bundle · drf-yasg · swagger-spec-validator · flask-apispec · flask-restplus · flask-pydantic-spec · flask-restx