# PyPI Package Health Auditor (`contributive_naiad_wgt/pypi-package-health-auditor`) Actor

Audit Python package maintenance, licensing, release files, compatibility, yanked releases, and metadata without an API key.

- **URL**: https://apify.com/contributive\_naiad\_wgt/pypi-package-health-auditor.md
- **Developed by:** [Through My Own](https://apify.com/contributive_naiad_wgt) (community)
- **Categories:** Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 package audits

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## PyPI Package Health Auditor

Audit public Python packages for release freshness, yanked status, licensing, Python compatibility, dependency count, wheels, source distributions, project links, and PyPI vulnerability records. It uses PyPI's public JSON API and needs no API key, browser, proxy, or customer account.

### Use cases

- Screen Python dependencies before adoption.
- Find stale, yanked, or incompletely packaged releases.
- Enrich SBOM and dependency inventories with current PyPI metadata.
- Schedule lightweight package checks for CI and AI agents.

### Input

Provide 1–50 package names or pypi.org project URLs.

```json
{ "packages": ["apify", "requests", "pydantic"] }
```

### Output

One dataset row per package found with the latest version, publish age, health score, licensing, compatibility, distribution formats, dependency count, vulnerability count, recommendations, and PyPI URL. Missing packages and failed requests are written to `ERRORS` and are not charged as package audits.

### Pricing

Pay per event: a small Actor-start event plus `$0.005` for each package successfully fetched and audited. Platform usage is included.

### Limits and privacy

Results reflect public PyPI metadata and deterministic heuristics, not a complete security audit. The Actor never downloads, installs, imports, or executes packages. Package names are sent only to `pypi.org`.

### Changelog

- `0.1.0`: Initial production release.

# Actor input Schema

## `packages` (type: `array`):

Package names or pypi.org project URLs, one per line.

## `requestTimeoutSecs` (type: `integer`):

Maximum time for each PyPI API request.

## `maxConcurrency` (type: `integer`):

Number of packages processed at once.

## Actor input object example

```json
{
  "packages": [
    "apify"
  ],
  "requestTimeoutSecs": 12,
  "maxConcurrency": 4
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (type: `string`):

No description

## `errors` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("contributive_naiad_wgt/pypi-package-health-auditor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("contributive_naiad_wgt/pypi-package-health-auditor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call contributive_naiad_wgt/pypi-package-health-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,contributive_naiad_wgt/pypi-package-health-auditor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RqhwFWh3yqIAqq6l3/builds/ZiSRuFbVwgSbOqntE/openapi.json