QuickCode is a Python and R data analysis environment, ideal for economists, statisticians and data managers who are new to coding.
Web Scraping Tools
Code Python and R in user’s browser or, if policy requires, on-premises
Easy to use - SQL browser, libraries included, simple interface
Export data to Excel, PowerPoint, Tableau and Qlikview
Work collaboratively with colleagues in a shared data hub
Contact for pricing.
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
Solve data problems and boost coding skills with QuickCode. QuickCode is a Python and R data analysis environment, ideal for economists, statisticians and data managers who are new to coding. It offers its users an easier way of coding without the need of extensive knowledge in order to start.
QuickCode provides its users with social coding and learning without having to install software. Be able to procure all the open source libraries and tools as one bundle. Users will be able to work with their operational data more efficiently and be able to avoid longer time for the process. With QuickCode, users can get support and training from experienced and trustworthy data scientists and coders to help further with their needs.
QuickCode is a hybrid of SaaS and PaaS. It provides end user tools like a SaaS, yet allows visibility and customization of all source code like a PaaS. QuickCode is deployed in a Public Cloud model. It is hosted on IaaS servers at Amazon Web Services in Ireland and meets Amazon's tiering standards.
QuickCode’s platform can be freely used by customers in any way they like. In particular, customers can contract third parties to adapt, extend or write new data tools and applications which run on the platform, as they want. Even the code of the platform itself is open source.
QuickCode is a web platform for data science. Subscribers to QuickCode can run scripts which get, clean and analyze data – such as scrapers and visualizations. It can be used to gather information from disparate sources, including websites, FTP servers, legacy database systems, PDFs, and then export that in a common format (Excel, JSON, CSV), or as interactive web visualizations.