Pricing overview

wttr.in operates on a unique pricing model compared to most API services: it is entirely free and open-source. There are no subscription fees, tiered plans, or charges for usage. This model is supported by its nature as a community-driven project that leverages publicly available weather data sources.

The service is designed for users who require quick weather information directly in their terminal or for scripting purposes. Its architecture allows for direct HTTP requests without the need for API keys or registration, simplifying access for developers and individual users alike. The project's maintenance and development rely on contributions from its user base and the broader open-source community, rather than commercial revenue streams.

This approach differentiates wttr.in from commercial weather APIs, which typically implement usage-based pricing, tiered subscriptions, or require API key management for access. For a detailed guide on how to use wttr.in, users can consult the wttr.in help page.

Plans and tiers

wttr.in does not offer traditional pricing plans or tiers. All users have access to the same set of features and functionalities without differentiation based on payment or subscription level. This includes:

  • Standard Weather Forecasts: Access to current weather conditions, multi-day forecasts, and various meteorological parameters.
  • Location Flexibility: Ability to query weather for any location worldwide, specified by city name, airport code, or IP address.
  • Output Formats: Support for multiple output formats, including plain text, Unicode, ANSI, and JSON, to suit different use cases.
  • Customization Options: Parameters for language, units (metric/imperial), and display options.
  • Geographical Information: Integration with geographical data to resolve location queries.

The absence of tiers means that all users receive the same level of service and access to features, regardless of the frequency or volume of their requests. The project encourages users to consider the load on its servers and avoid excessive automated querying, although no hard limits are enforced through a billing system.

Plan Name Price Key Features/Limits Best For
Default (Open Source) Free
  • Full functionality
  • No API keys required
  • No usage limits enforced via billing
  • Basic rate limiting may apply to prevent abuse
  • Terminal, Unicode, JSON output
  • Individual users
  • Scripting and automation
  • Quick weather checks
  • Educational projects

Free tier and limits

wttr.in's entire service functions as a permanent free tier with full functionality. There are no features reserved for paid subscriptions because no paid subscriptions exist. Users have unrestricted access to all available weather data, formats, and customization options.

While there are no explicit billing-related limits on requests or data transfer, users are expected to use the service responsibly. As an open-source project running on volunteered resources, extreme request volumes from a single source could strain the infrastructure. The project documentation suggests that users who require very high volumes of requests for commercial applications or extensive data scraping should consider self-hosting wttr.in or using a commercial weather API tailored for such use cases.

The philosophy behind wttr.in is to provide a free, accessible weather service for the public good. Any potential limitations are related to server capacity and fair use rather than commercial pricing strategies. This approach aligns with the principles of various open-source projects that offer public-facing services without direct monetization.

Real-world cost examples

Since wttr.in is free, the real-world cost examples are straightforward: all usage scenarios incur no direct monetary cost.

  • Individual Daily Weather Checks: A user checking the weather for their location multiple times a day via their terminal will pay $0.00. This includes refreshing the forecast, checking different cities, or using various output formats.

  • Scripting for Personal Automation: A developer integrating wttr.in into a Bash script to display weather on their desktop or a smart mirror will incur $0.00 in API costs. The script can run hourly or more frequently without generating charges.

  • Educational or Small-Scale Project: A student building a simple weather application for a school project that pulls data from wttr.in will have $0.00 in API expenses. They can experiment with different locations and display options freely.

  • Monitoring Weather in a Small Office: A small business using wttr.in to display current weather conditions on an internal status board will not incur any costs for the weather data service itself. The only costs would be for the display hardware and internet connection.

The only potential "costs" associated with wttr.in are indirect:

  • Internet Data Usage: Standard data transfer costs from the user's internet service provider for making HTTP requests. These are typically negligible for text-based weather data.
  • Self-Hosting Costs: If a user chooses to self-host their instance of wttr.in to handle very high request volumes or for custom modifications, they would incur costs for server infrastructure, electricity, and bandwidth. Information on setting up a self-hosted instance can be found by examining the wttr.in GitHub repository.

How the pricing compares

wttr.in's free and open-source model stands in contrast to the commercial pricing structures of most other weather API providers. These alternatives typically employ various monetization strategies:

  • Tiered Subscriptions: Many providers, such as OpenWeatherMap or AccuWeather, offer different subscription tiers (e.g., Free, Developer, Professional, Enterprise) with varying limits on API calls, data access, and features. For example, a free tier might allow a few hundred or thousand calls per day, while higher tiers offer millions of calls and more advanced data points (e.g., historical data, minute-by-minute forecasts).

  • Usage-Based Pricing: Some APIs charge per API call, per data point, or per data volume. This model can be flexible but requires careful monitoring to control costs, especially for high-volume applications.

  • API Key Management: Commercial services almost universally require API keys for authentication and tracking usage against billing limits. This adds a layer of management for developers.

  • Specific Feature Monetization: Access to premium features like severe weather alerts, historical climate data, or very high-resolution forecasts is often restricted to higher-paying tiers or offered as add-ons.

For instance, services like the Google Weather API (part of Google Maps Platform) typically use a pay-as-you-go model where costs accrue based on specific API calls, often requiring a Google Cloud project and billing account. Similarly, cloud providers like AWS Location Service offer weather-related features within a broader suite of geospatial services, with pricing based on requests and data usage.

wttr.in's advantage lies in its complete cost-freeness, simplicity of access (no API keys), and focus on terminal-based utility. It is ideal for hobbyists, educational purposes, and quick command-line queries. However, for large-scale commercial applications requiring guaranteed SLAs, extensive historical data, specialized meteorological analysis, or dedicated support, commercial alternatives may be more suitable despite their associated costs. wttr.in's model is inherently less about enterprise-grade guarantees and more about public accessibility and open-source collaboration.