ClimateTriage - Impactful open source contributions

A platform to build useful communities that aim to tackle social and environmenta problems.

Assesses the potential risk and forecasts the impact of climate hazards on the most vulnerable communities, in order to design risk reduction activities and target disaster responses.

An application to aggregate energy consumption data across several municipal assets and report usage to monitor and manage emissions.

Discover a meaningful way to contribute to open source projects focused on climate technology and sustainability.

Measures, tracks, and rewards the impact on gardens with a simple Progressive Web App.

A biological collections data management platform.

Makes it easy for people to design public spaces together.

Provides auditable, traceable, reproducible records that document the emission process and lifecycle of carbon credits, which reduce fraud in the ESG market.

A multilingual Progressive Web App, which scans the EAN or UPC codes of over 3.000.000 food- or non-food-products and simply tells you if it they're vegan or not.

A philanthropically funded system to help people manage their local marine ecosystems in the face of increasing Ocean temperatures.

An energy efficiency calculation application for use with industrial equipment such as pumps, furnaces, fans, and motors, as well as for industrial systems such as steam.

A free and Open Source web solution for citizen science projects for biodiversity data collection.

Developed collaboratively and mostly reusing existing open-source components, VEDA consolidates GIS delivery mechanisms, processing platforms, analysis services, and visualization tools and provides an ecosystem of open tools for addressing Earth science research and application needs through the public-facing VEDA Dashboard.

A modular, extensible, industrial-strength and field-tested platform for use in electricity, water and other utility operations.

A web application that displays emissions within municipalities in Sweden, along with a machine learning data pipeline under development, which will find, extract, and list emissions from companies.