Whether we're developing software or solving a business problem, we all have access to the information and materials necessary for doing our best work. And when these materials are accessible, we can build upon each other's ideas and discoveries. We can make more effective decisions and understand how decisions affect us.
When we're free to participate, we can enhance each other's work in unanticipated ways. When we can modify what others have shared, we unlock new possibilities. By initiating new projects together, we can solve problems that no one can solve alone. And when we implement open standards, we enable others to contribute in the future.
Good ideas can come from anywhere, and the best ideas should win. Only by including diverse perspectives in our conversations can we be certain we've identified the best ideas, and decision-makers continually seek those perspectives. We may not operate by consensus, but successful work determines which projects gather support and effort from the community.
Communities form when different people unite around a common purpose. Shared values guide decision making, and community goals supersede individual interests and agendas.
The philosophy of Factly’s technology is to democratize tools around data and journalism. We aim to reduce the barrier for entry for news media organizations to pursue fact-checking, data journalism.
Dega is a lightweight, scalable & high performant open-source publishing platform for small and medium scale news media organizations. The platform has various features built-in for fact-checking organizations. Dega supports managing multiple organizations and sites from the same portal. It is developed for modern web features with all the publishing best practices built-in. The tool is written in Go & React.
VidCheck is a web application that makes video fact-checking more standardized for fact-checkers, easy to read and understand for audiences, and scalable for platforms & fact-checkers. The application can be used in cases where claims being fact-checked are part of the video such as political speeches, news content, documentaries, any other type of commentary, manipulated content etc. VidCheck is written in Go & React
Kavach is an open-source identity and access management solution. It is a lightweight solution with features to manage organizations, users, permissions and can be configured easily to support applications required multitenancy. Kavach is written in Go, React and is built on ORY stack of services.
Counting India (CI) is the first major application developed as an initiative of Factly Labs. CI makes data related to the States/Districts in India more accessible and understandable. The primary source of data for CI is the Census of India 2011 and other official sources. In CI, one can compare any two States/Districts side by side. One can also embed, access or download the data. We envision that every person who is interested in using data in their sphere of work will value CI’s platform. CI will also be a reliable resource for policy makers, journalists and researchers to explore and discover stories of public interest in India. CI code is licensed under the MIT License. CI has been modeled on tools like Wazimap Kenya, Census Reporter and as inspired by NepalMap.
MandE is an open-source application to develop data portals to publish datasets in various formats. It provides features to publish private datasets and has e-commerce features specific to datasets. Datasets will be available for access as APIs and can be integrated with visualization platforms. MandE is written in Go for the backend and React for the frontend.
Parlens is a tool for searching data that is indexed from Indian parliament datasets.
Bindu is a modern open-source Data visualization platform built on Vega, Vega-Lite. It provides the ability for analysts to create charts and dashboards from a rich set of chart templates. The access policies can be set at the chart level, providing ability to share it with a set of users or publish it for the general public. The backend for Bindu is written in Go and the frontend in React.