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Thoth
=====
-In a world far far away, in a galaxy unseen to this date **Thoth** was born.
+There has been seen a hype over the past years in AI and machine learning.
+Machine learning and AI applications are used in production systems which
+require significant effort to ensure applications behave correctly and are
+fully operational. Thoth is a recommendation system for (not only) AI and
+machine learning applications which use popular open source machine learning
+libraries. Thoth is capable of storing observations based on which it
+predicts possible misbehavior in application, application assembling errors or
+issues when integrating application with other components in a deployment.
-See `thoth-station organization `_ on GitHub.
+Why Thoth?
+##########
+
+Every developer is struggling with choosing the right version of libraries
+when developing an application. You might be asking - should I use version X
+instead of Y? What happens if I choose version Y? What indirect dependencies
+will be included in my application stack during resolving?
+
+Moreover, development of an application is not the only phase in an
+application lifecycle. You can easily struggle with updates - will an update
+break my application? Should I update because of features or bug fixes in the
+newly released dependency? Will my application break? Why should I update?
+
+A good practice for having as much reproducible and working builds as
+possible is to lock (or pin down) libraries which are used by application to
+specific and required versions at the same time. Thoth is pushing this idea
+further and instead of pinning down to the latest version of libraries where
+possible (as Pipenv or pip does) it choses the best libraries in the specific
+versions for your application based on aggregated knowledge. You can imagine
+Thoth being a fine-tuned resolver that can come up with better version
+pinning and recommendations for your applications based on observations
+available in Thoth's database for your application which runs in a specific
+runtime environment.
+
+Imagine the following application consisting of Flask, gunicorn, TensorFlow
+and Pandas. As you can see on the figure below, dependencies do not create
+separate subgraphs. This causes that an update/downgrade of any
+dependency (eigher direct or indirect) causes changes in the whole
+application which can lead to misbehavior or (in better cases) fails with
+application run.
+
+.. figure:: https://raw.githubusercontent.com/thoth-station/thoth/master/fig/dependencies.png
+ :alt: Interaction of application dependencies.
+ :align: center
+
+
+Zen of Thoth
+############
+
+1. Bots are our cyborg team members.
+2. Python and machine learning is our first class citizen.
+3. Stateless architecture, if state is needed we use Ceph, OpenShift's
+internal state available through API and graph database for advanced graph
+traversal based queries.
+2. Reuse what has been previously invented.
+3. Errors should never pass silently.
+6. Clean design with clean Pythonic code counts.
+7. Use Ansible for always-ready midnight deployment.
+8. Self-living system with minimal operational overhead.
+9. Never say immidiate no and never say immidiate yes to any new idea.
+10. Be always open.
+
+I want to become a Thoth contributor
+####################################
+
+If you would like to contirbute in the source code, you can check `all the
+components of Thoth `_ where deploymnet playbooks live
+with their step-by-step documentation on how to deploy Thoth into your
+OpenShift cluster (or to your local `oc cluster up` instance).
+
+Game of Gods
+############
+
+Thoth is actually one of the gods living in the `thoth-station
+`_ - the recommender system,
+ holding knowledge based on which it creates advises
+
+ * `Sesheta `_ - bot that is
+ responsible for automated PR merges, gathering information about CI runs on
+ new pull requests or automatically labeling new issues and pull requests
+
+ * `Kebechet `_ - bot that is
+ responsible for monitoring repositories, issuing pull-requests on new
+ dependency releases, automatically issuing new releases on `PyPI
+ `, and more
+
+ * `Amun `_ - system which is the
+ execution part of Thoth, it is capable of creating runtime environments based
+ on specification, creating application stack and executing necessary tests
+ (such as application, performance, ...) to gather observations for Thoth's
+ database
+
+ * `Nepthys `_ - a bot responsible
+ for automatic documentation updates
+
+See `thoth-station organization `_ on
+GitHub for more information.
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