TurfJS

Open source

Advanced geospatial analysis for browsers and Node.js

Become a contributor

Financial contributions

Custom contribution

Donation

Make a custom one time or recurring contribution to support this collective.
+ 28

21 individuals and 11 organizations have contributed

Recurring contribution

backer

Become a backer for $2.00 per month and help us sustain our activities!

$2 USD / month

+ 10

13 individuals and 1 organization have contributed

Recurring contribution

sponsor

Become a sponsor for $200.00 per month and help us sustain our activities!

$200 USD / month

Top financial contributors

Individuals

1

Morgan Herlocker

$148 USD since Dec 2017

2

Abraham Hunt

$100 USD since Oct 2018

3

Stephen Cline

$100 USD since Jan 2019

4

David Weinzimmer

$100 USD since Jan 2019

5

Thorben Westerhuys

$80 USD since Oct 2019

6

Denis Carriere

$48 USD since Dec 2017

7

Moacir de Sá Pereira

$48 USD since Mar 2018

8

Nadia Barbosa

$48 USD since Mar 2018

9

Omar Ureta

$48 USD since Mar 2018

10

Lou Huang

$48 USD since Mar 2018

Organizations

1

Mapbox

$2k USD since Mar 2018

2

Triplebyte

$235 USD since Dec 2018

3

Farallon Geographics

$200 USD since Mar 2018

4

Intevation GmbH

$100 USD since Dec 2018

5

DINAcon

$80 USD since Oct 2019

6

Pozi

$30 USD since Nov 2019

7

Datawrapper GmbH

$16 USD since Jul 2019

Budget

See how money openly circulates through TurfJS. All contributions and all expenses are published in our transparent public ledger. Learn who is donating, how much, where is that money going, submit expenses, get reimbursed and more!

Monthly financial contribution to TurfJS

Pozi | 2/3/2020 | View Details 
+$10.00USD

Monthly financial contribution to TurfJS (backer)

Denis Carriere | 2/3/2020 | View Details 
+$2.00USD

Monthly financial contribution to TurfJS (backer)

Lou Huang | 2/3/2020 | View Details 
+$2.00USD

Today’s balance

$2,152.94 USD

Estimated annual budget

~ $436.19 USD

TurfJS is all of us

Our contributors 38

Everyone who has supported TurfJS. Individuals and organizations that believe in –and take ownership of– our purpose.

Morgan Herlocker
Collective Admin

Total contributions

$148 USD

backer

Denis Carriere
Collective Admin

Total contributions

$48 USD

backer

Stefano Borghi
Collective Admin

Total contributions

$44 USD

backer

Tom MacWright
Collective Admin

Total contributions

$24 USD

backer

Rowan Winsemius
Collective Admin
Tim Channell
Core Contributor
Mapbox
Financial Contributor

Total contributions

$2,400 USD

Triplebyte
Financial Contributor

Total contributions

$235 USD

Farallon Geog...
Financial Contributor

Total contributions

$200 USD

Yay for Turf

Abraham Hunt
Financial Contributor

Total contributions

$100 USD

Intevation GmbH
Financial Contributor

Total contributions

$100 USD

Stephen Cline
Financial Contributor

Total contributions

$100 USD

About

About Turf.js

TurfJS is a modular geospatial analysis library designed for use in the browser as well as NodeJS. We provide almost 150 modules for people to use freely in their applications. Our most popular module is downloaded 50,000 times a week via npm.

Why we're looking for support

TurfJS is a community-driven project maintained by a small group of core contributors who work on the project in their spare time. Time is spent supporting users, improving documentation, fixing bugs as well as creating new modules. Your funding will directly go to development costs, marketing campaigns, promotional events & any other financial costs to operate & maintain TurfJS.

In particular, we're looking for corporate sponsors who use TurfJS in revenue-generating ways, either by creating applications for clients, or through use in an app used by customers. Of course individuals are welcome to support us as well if TurfJS has helped you :)

2017 Achievements

  • Refactoring the codebase to support ES6 modules
  • Adding approx 70 new modules/functions
  • All new documentation

Development goals for Turf.js in the coming year

  • Removing our largest dependency (JSTS) to significantly reduce the size of our compiled code
  • Add new modules to bring us closer to feature parity with other geospatial libraries