# Compare 12 Python and ML libraries on one scale

**Use case:** 

PyTorch, TensorFlow, NumPy, LangChain, FastAPI, Django, scikit-learn, Keras and more: 12 Python and machine-learning libraries compared in Google searches on one 0-100 scale over the last 12 months. Google Trends allows only 5 terms at a time; this task links the batches so every library stays measurable. A pytrends alternative. Edit the list and run it.

## Input

```json
{
  "keywords": [
    "pytorch",
    "tensorflow",
    "numpy",
    "matplotlib",
    "scikit-learn",
    "langchain",
    "fastapi",
    "django",
    "streamlit",
    "keras",
    "huggingface",
    "polars"
  ],
  "geo": "",
  "timeframe": "today 12-m",
  "property": "",
  "category": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "rank": {
    "label": "Rank",
    "format": "number"
  },
  "keyword": {
    "label": "Keyword or topic",
    "format": "text"
  },
  "averageInterest": {
    "label": "Average interest (0-100)",
    "format": "number"
  },
  "peakInterest": {
    "label": "Peak interest (0-100)",
    "format": "number"
  },
  "precision": {
    "label": "Precision",
    "format": "text"
  },
  "query": {
    "label": "Searched as",
    "format": "text"
  },
  "geo": {
    "label": "Location",
    "format": "text"
  },
  "timeframe": {
    "label": "Time range",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Trends Scraper: Compare 100 Keywords on One Scale Actor is ready to run with the inputs already set for "Compare 12 Python and ML libraries on one scale". [Sign up or log in](https://console.apify.com/create-task-from-example/orDhpcLnSJDBLJgeB) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare 12 Python and ML libraries on one scale" task

The Google Trends Scraper: Compare 100 Keywords on One Scale Actor will start running based on the input automatically. You can also change all the input fields, like keywords or topics, time range, and more, to match your specific use case.

### 3. Receive the "Compare 12 Python and ML libraries on one scale" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as rank, keyword or topic, average interest (0-100), and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Compare 12 Python and ML libraries on one scale" task via API](https://apify.com/alhadikhan/google-trends-compare.md).

## FAQ

### Is this a pytrends alternative?

Yes. pytrends was archived in April 2025. This runs on Apify, handles Google's rate limits, and returns JSON plus a ready CSV table.

### How precise are small keywords?

Values keep 4 decimals instead of Google's whole numbers, and every keyword gets a precision label (high, medium or low).

## About this Actor

This example demonstrates how to use [Google Trends Scraper: Compare 100 Keywords on One Scale](https://apify.com/alhadikhan/google-trends-compare.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/alhadikhan/google-trends-compare.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/alhadikhan/google-trends-compare.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).