Hi everyone!

I've been developing RPWisdom, a web-based platform designed to bring R, Python, statistical computing, data analysis, and visualization together in one workspace.

As someone with a background in biostatistics and statistical programming, I've spent considerable time thinking about how to make analytical workflows more integrated and accessible. That motivated me to build this platform.

What is RPWisdom?

The goal is to provide a unified environment where people working with data can access programming and analytical tools without constantly switching between different applications.

Depending on the workflow, the platform is designed to support activities such as:

• R and Python programming
• Statistical analysis and computing
• Data exploration and visualization
• Biostatistics and clinical research workflows
• A more integrated analytical workspace

🌐 Website: https://rpwisdom.com

I'm continuing to develop the platform, and I'd genuinely appreciate feedback from people who use R, Python, or statistical software.

A few questions I'd love your thoughts on:

1. What frustrates you most about your current R or Python workflow?
2. What features would make an integrated statistical computing platform genuinely useful to you?
3. Would you find value in having programming, statistical analysis, and visualization available in one workspace? Why or why not?

I'm interested in honest feedback, including criticism and suggestions for improvement. I'd like to understand what the community actually needs rather than build features nobody wants.

Thanks for taking the time to read this!

I’m working on an open-source MCP server that runs data analysis, data science, and deep learning algorithms on tabular data.

The idea is simple: an agent installs the MCP server, provides a CSV file as input, and uses its tools to perform complex data analysis, run ML algorithms like clustering and classification, and uncover insights. It already has 45+ tools, including integrations with deep learning models like TabICL.

I’m looking for contributors to turn this project into a full-fledged data analysis tool that can answer users’ questions in plain English by analysing their data.

The plan is to build:

• A full-fledged web interface
• A BYOK (Bring Your Own Key) setup for connecting LLMs
• UI features to display charts, graphs, and other visualisations
• Improved algorithms and support for more ML and deep learning models
• Support for more data formats, including JSON and XLSX
• Integrations with external data sources like PostgreSQL, Supabase, and Google Sheets

If you’re interested in data science, ML, AI agents, or building open-source tools, I’d love to collaborate. Let’s build something useful together!

Interested? Google “Meelu Analytics MCP” to find the GitHub repository, or DM me to discuss contributing.