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Biostar: Building Scientific Communities

Build Status License

BioStar is a Python and Django based Q&A software. It is a simple, generic, flexible and extensible Q&A framework.

The site has been developed by scientists and for scientists. It aims to address the requirements and needs that scientific communities have. Biostar is used to run several science oriented Q&A sites:

The software is open source and free to use under the MIT License.

Features

  • Q&A: questions, answers, comments, user moderation, voting, reputation, badges, threaded discussions
  • RSS Planet: feed aggregation from different sources
  • External authentication: authenticate users with a different web service
  • Email integration: import previous posts from mailing lists
  • Low resource utilization and easy deployment.

Requirements: Python 2.7

Documentation

The documentation:

The source for the documentation can be found in the docs folder.

Quick Start

From the biostar source directory:

# Install the requirements.
pip install --upgrade -r conf/requirements/base.txt

# Initialize database, import test data, index for searching and run the server.
./biostar.sh init import index run

Visit http://www.lvh.me:8080 to see the site loaded with demo data.

The www.lvh.me domain resolves to 127.0.0.1 your local host with a proper domain name. You may just as well use http://localhost:8080 or http://127.0.0.1.

In the demo site the user emails are built from the database ids like so: 1@lvh.me, 2@lvh.me. The demo user passwords are identical to the emails and you may use these to log into your test site as any of the users.

The user with the email 1@lvh.me has staff level permissions and can also access the admin interface at http://www.lvh.me:8080/admin/.

Enjoy.

Development

Biostar versions and upgrade path: ialbert#400

Support

We may be able to provide support for organizations or institutions. For more information contact admin@biostars.org

Citing

Contributors

List of contributors: https://github.com/ialbert/biostar-central/graphs/contributors

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  • Python 45.2%
  • JavaScript 36.0%
  • HTML 13.0%
  • CSS 4.2%
  • Shell 1.6%