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PYBOSSA is the ultimate crowdsourcing framework (aka microtasking) to analyze or enrich data that can't be processed by machines alone.

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Scifabric Build Status Coverage Status Documentation License Join the chat at https://gitter.im/Scifabric/pybossa DOI Scifabric's Patreon

What is PYBOSSA?

PYBOSSA is a technology built by Scifabric, for crowdsourcing or citizen science platforms.

PYBOSSA is an extremely flexible and versatile technology with a multitude of applications that adapt to each specific case facilitating many of the daily tasks that take place in research environments such as museums, art galleries, heritage institutions, libraries of any kind, market research companies, hospitals, universities and all those organisations that manage data or require information from their customers/users -such as airports, shopping malls, banks, hotel chains, etc.

PYBOSSA’s simplicity consists in its easy adjustment to any areas using any of the available templates, this way every customer can then adapt it to their own needs.

PYBOSSA integrates with other data collection products such as Amazon S3, Twitter, Youtube, Google Spreadsheets, Flickr, Raspberry Pi, etc. Through all these integrations PYBOSSA allows data capture for further analysis made by users in a transparent and easy way.

PYBOSSA for python 3

PYBOSSA runs in python >= 3.6. While 3.8 has been released recently, it needs testing before officially support it.

If you have a python2.7 server, please, checkout the python2.7 branch and use that one for your server.

Get professional support

You can hire us to help you with your PYBOSSA project or server (specially for python 2.7). Go to our website, and contact us.

Supporting PYBOSSA

PYBOSSA is an open source project. Its ongoing development is made possible thanks to the support by these awesome backers. If you'd like to join them, check out Scifabric's Patreon campaign.

Actividad subvencionada por el Ministerio de Educación, Cultura y Deporte

Ministerio de Educación, Cultura y Deporte

See it in Action

PYBOSSA powers Nightup and MicroPast, LibCrowds, Lost at Night and many more projects.

For a full list of PYBOSSA projects, check our case studies and blog.

Installing and Upgrading

Important: if you are updating a server, please, be sure to check the Database Migration scripts, as new changes could introduce new tables, columns, etc, in the DB model. See the Updating Section from the documentation

See installation instructions.

Testing

Unit testing

Just run:

  nosetests test/

Browser testing

BrowserStack

Thanks to the support of BrowserStack we can do real cross browser testing on multiple desktop and mobile platforms.

Contributing

If you want to contribute to the project, please, check the CONTRIBUTING file.

It has the instructions to become a contributor.

Pull requests

Please, use conventional commits when sending your pull requests, as well as tests and documentation for your fix or improvement. It will help us to fully understand what you are solving or improving, and it will let the community know what's going one with the new feature or fix.

Changelog

Read CHANGELOG

Acknowledgments

Special thanks to Shuttleworth Foundations for funding us and their true support:

PYBOSSA was inspired by the BOSSA crowdsourcing engine but is written in python (hence the name!). It can be used for any distributed tasks project but was initially developed to help scientists and other researchers crowd-source human problem-solving skills!

Copyright / License

Copyright 2020 Scifabric LTD.

Source Code License: The GNU Affero General Public License, either version 3 of the License or (at your option) any later version. (see COPYING file)

The GNU Affero General Public License is a free, copyleft license for software and other kinds of works, specifically designed to ensure cooperation with the community in the case of network server software.

Documentation and media is under a Creative Commons Attribution License version 3.

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PYBOSSA is the ultimate crowdsourcing framework (aka microtasking) to analyze or enrich data that can't be processed by machines alone.

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