AnalySim is a data sharing and analysis platform that seeks to simplify the visualization of datasets. With AnalySim researchers can collaborate by hosting their data and publishing their analysis notebooks to the world, or browse through multiple user generated projects.
AnalySim aims to be a data sharing and hosting resource for crowdsourced-analysis of a specific type of dataset: one where many parameter combinations need to be tested and measurements are recorded for each instance. These datasets are very useful in mathematical modeling of natural phenomena, such as in computational neuroscience. We provide easy sharing, analysis, visualization, and collaboration capabilities on these datasets.
Project is still in progress and a draft is available at: https://analysim-dev.herokuapp.com/home
This project will involve implementing a CSV file data browser and querying component for AnalySim. The developer would have to modify both the backend API service in C# and frontend components in Angular. An intuitive user interaction workflow would need to be designed as well.
Main Technologies: Angular, Typescript, Bootstrap, ASP.Net Core, C#, PostgreSQL
Technologies for analysis notebooks: JavaScript, ObservableHQ, D3.js, Vega, Plotly, potential for Jupyter add-on
Skill level: intermediate/advanced preferable
Tech keywords: Angular, Typescript, Bootstrap, ASP.Net Core, C#, PostgreSQL, JavaScript, ObservableHQ, D3.js, Vega, Plotly
Lead Mentor: Cengiz Gunay (cengique@users.sf.net)
Back-up mentor: Anca Doloc-Mihu (adolocm@gmail.com)