Welcome to RAISINS
RAISINS(R and AI Solutions for INferential Statistics) is an advanced, user-friendly online platform for statistical analysis, seamlessly integrating the power of R, Python, and Artificial Intelligence. Specially designed for agricultural research, RAISINS enables students, researchers, and professionals to perform complex analyses and generate publication-ready results without the need for software installation or coding expertise. Simply choose your analysis module, upload your dataset, and receive instant, insightful outputs. RAISINS supports individual users across the globe as well as institutions in India and abroad, see institutions with access.
🌍 See our global user traffic (past 24 hours)
Before RAISINS, researchers spent at least four days completing their data analysis! now, you can do it in just four seconds!. Scroll down or click Start below to get started.
RAISINS is developed by a group of young statisticians at Statoberry LLP, inspired and mentored by the Department of Agricultural Statistics, College of Agriculture, Vellayani, under Kerala Agricultural University. Statoberry LLP is a research-focused startup committed to making statistical computing more accessible, efficient, and impactful.
Proudly incubated under the NABARD–KAU–WSU AgTech Launchpad, RAISINS supports cutting-edge research in agriculture and allied sciences. From experimental design and survey analysis to multivariate techniques and predictive modeling, RAISINS combines academic rigor with modern computational tools to support the full research lifecycle.
Each module in RAISINS is meticulously tested over months and reviewed by expert statisticians to ensure statistical accuracy and practical relevance.
We simply make statistics sweet!Analysis Modules
Doing a statistical analysis has never been easier. Simply select the appropriate analysis module listed below to launch the application. Our platform operates on secure cloud infrastructure to ensure high-performance computing for your data analysis. To support sustained access and development, a modest subscription is required per module. These plans are thoughtfully structured to remain affordable for students and researchers. Once subscribed, access the app and upload your dataset and click Run Analysis the results are generated instantly, with accuracy and clarity.
Data Analysis
Analysis of Experiments
Single Factor Experiments
Two Factor Experiments
Three Factor Experiments
Pooled Analysis
Non Parametric
Statistical Genetics
Custom Tools
Tools for KAU
At RAISINS, we deeply value academic collaborations and are committed to making statistical analysis easy, affordable, and enjoyable. If you believe your institution could benefit from access to RAISINS, we encourage you to inform the relevant authority to get in touch with us. We offer customised plans, our unique flavours—to match the research needs of your institution.Click here to explore Institutional Licensing for RAISINS.
🏛️ institutions with access
RAISINS is an open-reviewed online platform developed to support transparent, reproducible, and high-quality research in agriculture and allied sciences. If you have used RAISINS for data analysis, visualization, or statistical modelling in your research, we encourage you to cite the software in your publications. Proper citation helps acknowledge the tool and supports its continued development for the academic community.
Click here to view the recommended citation format for RAISINS.
RAISINS Cited in Peer-reviewed Journals 6 Citations!
Making statistics sweet-globally!
RAISINS is now used by researchers across the globe, and we are glad to have you as part of this growing community committed to making statistics simpler and more accessible. The past 24 hours of global RAISINS usage are shown below.
The RAISINS Calendar 2026
The RAISINS 2026 Data-Art Calendar celebrates the beauty of randomness through statistics. Each month is created in R using simulated data, mathematical functions, and controlled noise, transforming random numbers into visually expressive forms. What appears as art is rooted in statistical structure-distributions, curves, variability, and uncertainty showing how order and beauty emerge from randomness. This calendar is a reminder that statistics is not just about numbers and inference, but also about patterns, creativity, and the hidden aesthetics of data.
💬 What Our Users Say
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