Open source flight data pipeline

If you're looking for **free and open-source** methods to extract flight data without requiring a credit card, there are a few options. Some APIs and datasets provide limited free access, but most premium services (like FlightAware, FlightRadar24, etc.) do require paid subscriptions. However, there are still a few alternatives:


### 1. **OpenSky Network API**

  - **OpenSky Network** is an open-source, community-based platform for live air traffic data. It's one of the best free options for accessing live flight data.

  - The **OpenSky API** allows you to access real-time flight data, historical data, and more without needing to sign up with a credit card.

  

  **Website**: [OpenSky Network](https://opensky-network.org/)


  #### Example API Call for Real-Time Flights:

  ```python

  import requests

  import json


  # OpenSky Network API URL

  url = "https://opensky-network.org/api/states/all"


  # Make a GET request to the API

  response = requests.get(url)


  # Parse the JSON response

  if response.status_code == 200:

    flight_data = response.json()

    print(json.dumps(flight_data, indent=4))

  else:

    print(f"Error: {response.status_code}")

  ```


  #### Features:

  - Real-time flight data

  - Historical data access (limited)

  - No credit card required for access

  - Data from contributors worldwide


### 2. **AviationStack API**

  - **AviationStack** provides a freemium model for flight data. While its free tier has some limitations, you can get access to real-time flight status and aviation data without requiring a credit card.

  - The free tier allows you to make up to 500 requests per month.


  **Website**: [AviationStack API](https://aviationstack.com/)


  #### Example API Call:

  ```python

  import requests


  # Get your free API key from aviationstack (no credit card required)

  api_key = 'your_api_key_here'


  url = f"http://api.aviationstack.com/v1/flights?access_key={api_key}"


  response = requests.get(url)


  if response.status_code == 200:

    flight_data = response.json()

    print(flight_data)

  else:

    print(f"Error: {response.status_code}")

  ```


  #### Features:

  - Real-time flight data

  - Airline routes and schedules

  - Limited to 500 requests/month in the free tier


### 3. **ADS-B Exchange**

  - **ADS-B Exchange** provides a completely free, community-driven dataset of live flight information gathered from ADS-B signals.

  - You can access real-time data, historical data, and aircraft tracking information without signing up or paying.


  **Website**: [ADS-B Exchange API](https://www.adsbexchange.com/data/)


  #### Example: Accessing Real-Time Data

  ```python

  import requests


  # API endpoint for real-time flight data from ADS-B Exchange

  url = "https://adsbexchange-com1.p.rapidapi.com/v2/aircraft/lat/{lat}/lon/{lon}/dist/{dist}/"


  headers = {

    "X-RapidAPI-Key": "your-rapidapi-key",

    "X-RapidAPI-Host": "adsbexchange-com1.p.rapidapi.com"

  }


  response = requests.get(url, headers=headers)


  if response.status_code == 200:

    data = response.json()

    print(data)

  else:

    print(f"Error: {response.status_code}")

  ```


  #### Features:

  - Real-time aircraft positions

  - Historical flight data

  - No paywalls or subscriptions required


### 4. **OpenFlights Dataset**

  - **OpenFlights** is an open-source database of airline routes and airport information. While it doesn't offer real-time flight tracking, you can use it to get data on routes, airlines, and airports globally.

  

  **Website**: [OpenFlights](https://openflights.org/data.html)

  

  #### Example Usage:

  You can download the dataset as a CSV file and use it directly in Python using `pandas`.

  ```python

  import pandas as pd


  # Load the OpenFlights dataset

  url = 'https://openflights.org/data/routes.dat'

  columns = ['airline', 'airline_id', 'source_airport', 'source_airport_id', 

       'destination_airport', 'destination_airport_id', 'codeshare', 

       'stops', 'equipment']


  flight_data = pd.read_csv(url, names=columns)

  print(flight_data.head())

  ```


  #### Features:

  - Access to airline routes and airports worldwide

  - No real-time data, but useful for research and static data needs


---


### Which Option is Right for You?

- **OpenSky Network** is the best option if you want real-time data without a credit card.

- **ADS-B Exchange** is a great choice if you want real-time tracking without restrictions.

- **AviationStack** is useful if you're okay with a freemium model and limited requests per month.

- **OpenFlights Dataset** is useful for research and non-real-time data.


If you need help setting up any of these APIs or working with the data, let me know!

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