npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2025 – Pkg Stats / Ryan Hefner

@maxim_mazurok/gapi.client.travelimpactmodel-v1

v0.1.20251203

Published

TypeScript typings for Travel Impact Model API v1

Readme

TypeScript typings for Travel Impact Model API v1

Travel Impact Model API lets you query travel carbon emission estimates. For detailed description please check documentation.

Installing

Install typings for Travel Impact Model API:

npm install @types/gapi.client.travelimpactmodel-v1 --save-dev

Usage

You need to initialize Google API client in your code:

gapi.load('client', () => {
  // now we can use gapi.client
  // ...
});

Then load api client wrapper:

gapi.client.load(
  'https://travelimpactmodel.googleapis.com/$discovery/rest?version=v1',
  () => {
    // now we can use:
    // gapi.client.travelimpactmodel
  },
);
// Deprecated, use discovery document URL, see https://github.com/google/google-api-javascript-client/blob/master/docs/reference.md#----gapiclientloadname----version----callback--
gapi.client.load('travelimpactmodel', 'v1', () => {
  // now we can use:
  // gapi.client.travelimpactmodel
});

After that you can use Travel Impact Model API resources:

/*
Stateless method to retrieve emission estimates. Details on how emission estimates are computed are in [GitHub](https://github.com/google/travel-impact-model) The response will contain all entries that match the input flight legs, in the same order. If there are no estimates available for a certain flight leg, the response will return the flight leg object with empty emission fields. The request will still be considered successful. Reasons for missing emission estimates include: * The flight is unknown to the server. * The input flight leg is missing one or more identifiers. * The flight date is in the past. * The aircraft type is not supported by the model. * Missing seat configuration. The request can contain up to 1000 flight legs. If the request has more than 1000 direct flights, if will fail with an INVALID_ARGUMENT error.
*/
await gapi.client.travelimpactmodel.flights.computeFlightEmissions({});

/*
Stateless method to retrieve GHG emissions estimates for a set of flight segments for Scope 3 reporting. The response will contain all entries that match the input Scope3FlightSegment flight segments, in the same order provided. The estimates will be computed using the following cascading logic (using the first one that is available): 1. TIM-based emissions given origin, destination, carrier, flightNumber, departureDate, and cabinClass. 2. Typical flight emissions given origin, destination, year in departureDate, and cabinClass. 3. Distance-based emissions calculated using distanceKm, year in departureDate, and cabinClass. If there is a future flight requested in this calendar year, we do not support Tier 1 emissions and will fallback to Tier 2 or 3 emissions. If the requested future flight is in not in this calendar year, we will return an empty response. We recommend that for future flights, computeFlightEmissions API is used instead. If there are no estimates available for a certain flight with any of the three methods, the response will return a Scope3FlightEmissions object with empty emission fields. The request will still be considered successful. Generally, missing emissions estimates occur when the flight is unknown to the server (e.g. no specific flight exists, or typical flight emissions are not available for the requested pair). The request will fail with an `INVALID_ARGUMENT` error if: * The request contains more than 1,000 flight legs. * The input flight leg is missing one or more identifiers. For example, missing origin/destination without a valid distance for TIM_EMISSIONS or TYPICAL_FLIGHT_EMISSIONS type matching, or missing distance for a DISTANCE_BASED_EMISSIONS type matching (if you want to fallback to distance-based emissions or want a distance-based emissions estimate, you need to specify a distance). * The flight date is before 2019 (Scope 3 data is only available for 2019 and after). * The flight distance is 0 or lower. * Missing cabin class. Because the request is processed with fallback logic, it is possible that misconfigured requests return valid emissions estimates using fallback methods. For example, if a request has the wrong flight number but specifies the origin and destination, the request will still succeed, but the returned emissions will be based solely on the typical flight emissions. Similarly, if a request is missing the origin for a typical flight emissions request, but specifies a valid distance, the request could succeed based solely on the distance-based emissions. Consequently, one should check the source of the returned emissions (source) to confirm the results are as expected.
*/
await gapi.client.travelimpactmodel.flights.computeScope3FlightEmissions({});

/*
Retrieves typical flight emissions estimates between two airports, also known as a market. If there are no estimates available for a certain market, the response will return the market object with empty emission fields. The request will still be considered successful. Details on how the typical emissions estimates are computed are on [GitHub](https://github.com/google/travel-impact-model/blob/main/projects/typical_flight_emissions.md). The request can contain up to 1000 markets. If the request has more than 1000 markets, it will fail with an INVALID_ARGUMENT error.
*/
await gapi.client.travelimpactmodel.flights.computeTypicalFlightEmissions({});

For provenance information see Provenance section on NPM