$npx skillfedfor your agent

faker-nonprofit

Provider for Faker which adds fake nonprofit information.

SkipPyPI TestingReleased Dec 2021228.3K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — faker_nonprofit-1.0.0-py3-none-any.whl
v1.0.0 · released 2021-12-01 · 1 runtime deps: faker

No, unless you are maintaining an existing project that already depends on this package. The project is archived and abandoned with no updates since 2021, so it will not receive maintenance, security patches, or compatibility fixes. For new projects, use the current version of faker with custom provider logic or seek an actively maintained nonprofit data generation package instead.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Low install friction with a single runtime dependency on faker.
  • However, the package is archived and abandoned—last release was 2021-12-01 with no updates since, and the repository has been archived.
  • No active maintenance or bug fixes should be expected.

License · maintenance · safety

permissive license (permissive) — Licensed under BSD (permissive), so you can use, modify, and distribute it freely in most contexts without significant legal constraints.

last release 2021-12-01 (1717 days) · last repo commit 2025-09-09 · 4 stars · archived

0 known vulnerabilities (OSV.dev, 2026-08-14) · 228,339 downloads/mo, #9,154 on PyPI

Verify before relying

pip install faker-nonprofit

from faker import Faker
import faker_nonprofit

fake = Faker()
fake.add_provider(faker_nonprofit.Provider)
print(fake.nonprofit_name())
  • What nonprofit-specific methods beyond nonprofit_name() are actually provided by the Provider class.
  • Whether the package works reliably with current versions of faker, given no updates since 2021.
  • Compatibility with Snowfakery and whether the sample recipe example still functions.
Same gist for agents: .md · .json

What it is and what it does

faker-nonprofit is a provider plugin for the Faker library that adds methods to generate fake nonprofit organization data. It was built to support Snowfakery, a tool for generating synthetic test data, and is maintained by the Salesforce Open Source Commons community. The package extends Faker's capabilities with nonprofit-specific generators, allowing developers to populate test databases and development environments with realistic nonprofit names and related attributes without using real organization data.

The package depends only on faker and installs with minimal friction. However, it has been archived and abandoned since its initial release in December 2021, with no subsequent updates or maintenance. This means it will not receive bug fixes, security patches, or compatibility updates for newer versions of faker or Python, making it a legacy tool suitable only for projects that can tolerate stale dependencies.

Use it for

  • Generate test data for nonprofit management systems or CRM applications during development and QA.
  • Populate seed databases with realistic nonprofit names for integration tests without hitting real APIs.
  • Create mock datasets for Snowfakery recipes that simulate nonprofit organization structures.
  • Build demo or training environments with plausible nonprofit data for user acceptance testing.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Skip

No, unless you are maintaining an existing project that already depends on this package.

The project is archived and abandoned with no updates since 2021, so it will not receive maintenance, security patches, or compatibility fixes. For new projects, use the current version of faker with custom provider logic or seek an actively maintained nonprofit data generation package instead.

Install

faker-nonprofit on PyPI

Before you install

Low install friction with a single runtime dependency on faker. However, the package is archived and abandoned—last release was 2021-12-01 with no updates since, and the repository has been archived. No active maintenance or bug fixes should be expected.

License in practice

Licensed under BSD (permissive), so you can use, modify, and distribute it freely in most contexts without significant legal constraints.

Quickstart

pip install faker-nonprofit

from faker import Faker
import faker_nonprofit

fake = Faker()
fake.add_provider(faker_nonprofit.Provider)
print(fake.nonprofit_name())

Verify before relying

  • What nonprofit-specific methods beyond nonprofit_name() are actually provided by the Provider class.
  • Whether the package works reliably with current versions of faker, given no updates since 2021.
  • Compatibility with Snowfakery and whether the sample recipe example still functions.

Package facts

Licensepermissive license permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
faker
MaintenanceAbandoned 1,717 days since the last release
Last repo commit repository archived
First released
Downloads228,339 / month, #9,154 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
License :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9

Evidence: faker_nonprofit-1.0.0-py3-none-any.whl

Tags

Capabilities
fake nonprofit data generationfaker nonprofit providertest data for nonprofitsgenerate nonprofit namesnonprofit organization mockingfaker extension nonprofitsnowfakery nonprofit data
Topics
test-data-generationabandoned

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 › “fake nonprofit data generation”

  • faker-nonprofitExtends Faker with methods to generate realistic fake nonprofit…
  • FakerFaker generates realistic fake data—names, addresses, emails, phone…
  • snowfakerySnowfakery generates fake relational data from YAML recipes, writing…

Give your agent the search over MCP, or paste the wish link into any chat.

More Testing packages

pluggy Worth it
PyPI · Libraries · released May 2025

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.

MITpure Python · 3.9+aging
1.3Bdownloads / mo
pytest Worth it
PyPI · Libraries · released Jun 2026

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.

MITpure Python · 3.10+
1.1Bdownloads / mo
virtualenv Worth it
PyPI · Libraries · released Aug 2026

virtualenv creates isolated Python environments where packages can be installed independently without affecting the system Python or other projects.

MITpure Python · 3.9+
532.9Mdownloads / mo
coverage Worth it
PyPI · Testing · released Aug 2026

Coverage.py measures which lines of Python code are executed during test runs, reporting coverage percentages and identifying untested code paths.

Install it if you want to measure test completeness or enforce coverage thresholds in your project.

permissive licensepure Python · 3.10+
335.8Mdownloads / mo
pytest-asyncio Worth it
PyPI · Testing · released May 2026

pytest-asyncio is a pytest plugin that enables writing and running async test functions using the asyncio library, allowing developers to await code directly within test cases.

Install it if you write tests for any asyncio-based code.

Apache-2.0pure Python · 3.10+
275.9Mdownloads / mo
pytest-json-ctrf Worth it
PyPI · Testing · released Jul 2026

A pytest plugin that generates test reports in Common Test Report Format (CTRF) as JSON, compatible with pytest-xdist and pytest-playwright for distributed and browser-based testing.

Install it if you need CTRF-formatted test output for CI/CD integration or cross-tool reporting.

MITpure Python · 3.8+
273.0Mdownloads / mo

See also faker-edu · snowfakery · faker-e164 · Faker · jsf · fake-factory · faker-enum · streamlit-faker · robotframework-faker · pytest-faker