Show HN: dstack.ai – publish, track, and share data visualizations

I am Riwaj from dstack.ai. dstack.ai offers a convenient way to publish, share, and track data visualizations, analysis results, and data reports.

In our experience, as of now, many data analysts and data scientists work through the data in various tools such as excel, Jupyter notebook, etc. and then share the graphic with their peers, managers or clients using local network drives or emails in the form of PDFs or PowerPoints. There is also a growing number of users and teams who use BI Tools, Tableau, Superset or build custom applications to organize interactive dashboards and reports. When it comes to tracking the visualizations or analyzing results, some teams resort to work around methods such as printing the result in a document and then using version control tools over the document. In summary, there are a variety of tools available for exploring, tracking and sharing reports, but many of these allow to publish reports generated by their own tools thus allowing for very little flexibility for a team that works with multiple programming languages, tools, and plotting libraries.

We at dstack.ai have built a light-weight solution where you can publish the data visualizations via APIs from anywhere (a Jupyter notebook, a script or an application) and store them in our web application (which is also mobile friendly) for collaboration with teams and clients, i.e., you can share the published charts via URL and comment on each stored chart (think of Instagram). Our current version supports Python and R as programming languages, and Matplotlib, Ggplot2, Plotly and Bokeh as plotting libraries. In our first version, we only support static charts and basic interactive charts, i.e., if you stored charts with certain parameters, the users who browse through those charts can play with only those specific parameter values.

We think there is a lot more one can offer to improve the current process of a collaborative exploration of data visualization for teams. As basic as our current solution is, we are currently working on releasing new features such as - Organizing the charts into dashboards - User groups and permission management - Plugins for spreadsheets such as Google docs and MS Excel - Dynamic plots and dashboard that fetches data from a data source and can be scheduled to update regularly - A mobile application to access the visualizations, - On-prem options

We would love to hear about your challenges in the area of collaboration around data visualization, and receive any feedback on what we currently have. For your reference, here is the documentation for product usage. https://docs.dstack.ai

Oh I see you have a dot-ai domain. Very cool.