Abstract: Methods and systems for a platform development version control system for monitoring contributors to software platform development. The methods and systems generate data analytics on contributors to software platform development using group affiliations as listed in a group directory (e.g., a corporate directory for an entity providing the software platform) as a common organizing factor. For example, by organizing the methods and systems according to the group affiliations, the methods and systems may generate data analytics on contributions of contributors within those groups, irrespective of whether or not the group members are working on the same project. The methods and systems may then provide recommendations and graphical representations based on the data analytics.

Abstract: Methods and systems for a platform development version control system for monitoring contributors to software platform development. The methods and systems generate data analytics on contributors to software platform development using group affiliations as listed in a group directory (e.g., a corporate directory for an entity providing the software platform) as a common organizing factor. For example, by organizing the methods and systems according to the group affiliations, the methods and systems may generate data analytics on contributions of contributors within those groups, irrespective of whether or not the group members are working on the same project. The methods and systems may then provide recommendations and graphical representations based on the data analytics.

Abstract: In some implementations, a device may receive exchange information associated with an exchange initiated by a medium that indicates a first location associated with the exchange and may enable the exchange to be completed. The device may transmit, to the user device, an indication of the exchange and a request to indicate whether the exchange is fraudulent. The device may receive, from the user device, a response indicating whether the exchange is fraudulent that indicates a second location associated with the user device. The device may determine whether the response is valid based on a comparison between the first location and the second location. The device may determine whether the exchange is fraudulent based on the response and determining whether the response is valid. The device may train the model using the exchange information and an indication of whether the exchange is fraudulent as an input to the model.

Abstract: Methods and systems for a platform development version control system for monitoring contributors to software platform development. The methods and systems generate data analytics on contributors to software platform development using group affiliations as listed in a group directory (e.g., a corporate directory for an entity providing the software platform) as a common organizing factor. For example, by organizing the methods and systems according to the group affiliations, the methods and systems may generate data analytics on contributions of contributors within those groups, irrespective of whether or not the group members are working on the same project. The methods and systems may then provide recommendations and graphical representations based on the data analytics.

Abstract: Methods and systems for a platform development version control system for monitoring contributors to software platform development. The methods and systems generate data analytics on contributors to software platform development using group affiliations as listed in a group directory (e.g., a corporate directory for an entity providing the software platform) as a common organizing factor. For example, by organizing the methods and systems according to the group affiliations, the methods and systems may generate data analytics on contributions of contributors within those groups, irrespective of whether or not the group members are working on the same project. The methods and systems may then provide recommendations and graphical representations based on the data analytics.