Search Results for "mongodb"

Productionise and schedule your Jupyter Notebooks, just as interactively as you wrote them. Notebooker is a webapp which can execute and parametrise Jupyter Notebooks as soon as they have been committed to git. The results are stored in MongoDB and searchable via the web interface, essentially turning your Jupyter Notebook into a production-style web-based report in a few clicks.

Kanbanara, a web-based Project Management System, uses the Kanban methodology. Started in 2013, the product is already quite well advanced. It is written in Python 3.7+ and utilizes MongoDB and CherryPy. Its Kanban board features projects, user-definable workflow with custom states, support for epic, feature, story, enhancement, defect, task, test, bug and transient cards, global and personal WIP limits, role-based columns (Owner, Reviewer or Quality Assurance), support for ghost cards (cards on their way to you or your own cards currently being reviewed or in QA), blockable cards, hidable cards, deferable cards, 46 card styles including a customisable one, 14-day future projection, Gantt Chart andcard backdrops. ...

Database mapping layer for MongoDB on Python. Includes schema enforcement and some facilities for schema migration.

...Web-based content management admin interface. Multiple content formats (markdown, rst, html, plaintext) Compatibility with any of the Pelican Themes. Flat file NoSQL database TinyDB or optionally MongoDB for scale deployments. Host the Quokka on server or generate a static website. Extensible via modules/plugins. Powered by Python, Flask, Flask-Admin, TinyMongo and Pelican Themes.

AMPPS is a stack of Apache, MySQL, PHP, Perl & Python. AMPPS enables you to focus more on using applications rather than maintaining them. With AMPPS you can create a website by installing any of the 330+ Apps, customizing it, and then simply publishing it on the internet via a wide choice of hosting service providers. A complete package on your desktop, same like the server that provides many open source web applications. Application Management, Domain management, Database management, etc...

Development in Python (be it website or an App development or implementation of an automation framework) always involves certain operations like handling db queries, operations on web, development of data structures, windows operations (handing services, registries), logging and many more... What, if you have these libraries handy with you all the time? Just import and start using them.. In comes PyLibrary.. PyLibrary is a collection of infrastructure libraries that aid faster...

Grab this to try your hand at developing a tool for Allura. Currently supports: - python package setup - simple per-project-installable Tool - simple Ming/MongoDB model - simple TurboGears Controllers - simple Jinja templates