pyproject-api
API to interact with the python pyproject.toml based projects
Decision gist · record as of 2026-08-14
Yes. Active maintenance, zero known vulnerabilities, low install friction, and permissive MIT licensing make this a safe choice. The package is in production-stable status and widely used, making it a reliable foundation for tools that need to read pyproject.toml files.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later
- Low friction installation with only two lightweight runtime dependencies (packaging and tomli).
- Active maintenance with a release within the last month and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal restrictions.
last release 2026-07-21 (24 days) · last repo commit 2026-08-12 · 25 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 18,508,227 downloads/mo, #1,083 on PyPI
Alternatives
Verify before relying
pip install pyproject-api
from pyproject_api import Project
project = Project('.')
metadata = project.metadata- Whether the API supports dynamic project discovery or only static pyproject.toml parsing
- What specific pyproject.toml schema versions or PEP standards are supported
What it is and what it does
pyproject-api is a library that provides programmatic access to Python project configuration stored in pyproject.toml files. It abstracts away the details of parsing and validating project metadata, allowing tools and scripts to reliably read project information without manually handling TOML parsing or schema validation.
The package is designed for developers building tools that need to inspect or interact with Python projects—build systems, testing frameworks, dependency managers, and IDE integrations. It depends on packaging and tomli to handle the underlying parsing and version specification logic, and supports Python 3.10 and later.
Use it for
- Build tools that need to read project metadata and dependencies from pyproject.toml without reimplementing parsing logic
- Testing frameworks that require introspection of project configuration and isolated environment setup
- Package managers or dependency resolvers that must inspect project metadata programmatically
- IDE plugins or editor extensions that display project information or validate configuration
- CI/CD pipelines that need to extract build requirements or project metadata at runtime
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Active maintenance, zero known vulnerabilities, low install friction, and permissive MIT licensing make this a safe choice. The package is in production-stable status and widely used, making it a reliable foundation for tools that need to read pyproject.toml files.
Install
pyproject-api on PyPI
Before you install
Low friction installation with only two lightweight runtime dependencies (packaging and tomli). Active maintenance with a release within the last month and no known vulnerabilities.
Requires Python 3.10 or later
License in practice
MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal restrictions.
Quickstart
pip install pyproject-api
from pyproject_api import Project
project = Project('.')
metadata = project.metadata
Verify before relying
- Whether the API supports dynamic project discovery or only static pyproject.toml parsing
- What specific pyproject.toml schema versions or PEP standards are supported
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagespackagingtomli |
| Maintenance | Actively maintained 24 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 18,508,227 / month, #1,083 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: toxIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIXProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.15Topic :: Software Development :: LibrariesTopic :: Software Development :: TestingTopic :: Utilities |
Evidence: pyproject_api-1.11.0-py3-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 › “pyproject.toml parsing”
- pyproject-apiProvides a programmatic API to read and interact with Python projects…
- pytoolconfigPytoolconfig reads and manages configuration for Python tools from…
- depgatherExtracts and lists dependencies from multiple Python project file…
Give your agent the search over MCP, or paste the wish link into any chat.
More Libraries packages
urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.
Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Provides parsing, arithmetic, and recurrence rule computation for dates and times, with timezone support and iCalendar RFC compliance.
Install it if you need to parse flexible date strings, compute relative dates, handle timezones, or work with recurrence rules—it's the de facto choice for these tasks.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.
See also pkg-about · pyproject-parser · pyproject-dependencies · pyproject-toml · sphinx-pyproject · single-source · pyproject2conda · zephyr-python-api · pypistats · pyproject-flake8