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Explore our comprehensive collection of R (and Python) shiny applications. You can easily search for existing applications or submit a request to include your own shiny application in our diverse portfolio. Please remember that none of these applications belong solely to Shiny App Store, these are open source projects by users. Use and share, let's grow together!

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GraphBio: Solution for Effortless Analysis Omics Data omics. analysis Zelin Wang ★ ★ ★ ★ ★ (3)
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organChipSim: Organ-on-a-chip Simulation with Half-life Prediction simulation. predict Sungpil Han ★ ☆ ☆ ☆ ☆ (1)
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discrProbDist: Explore Discrete Probability Distribution mephas. statistics Mizutani ★ ★ ★ ★ ★ (2)
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logitReg: Effortless Logistic Regression Analysis mephas. statistics Mizutani ★ ★ ★ ★ ★ (2)
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countDownTm: A simple countdown timer for use in daily activities daily. activity Obi Obianom ★ ★ ★ ★ ★ (5)
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2MFSttest: Go-To Tool to Explore Parametric T Test Analysis mephas. stats Mizutani ★ ☆ ☆ ☆ ☆ (1)
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PPETA: Preliminary Patient Dosing Education Tool tutorial. pharmacokinetic Jessica Wojciechowski ★ ★ ★ ☆ ☆ (3)
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colourpicker: An input control that allows users to select colours tutorial. generate Dean Attali ★ ☆ ☆ ☆ ☆ (1)
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r2country: Dynamic Visualization of Continents and Countries country. demo Obi Obianom ★ ★ ★ ☆ ☆ (2)
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caffeinePK: Caffeine PK Concentration Predictor caffeine. predict Sungpil Han ★ ☆ ☆ ☆ ☆ (1)
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simulatr: Simulation of Linear Model Data simulation. model Raju Rimal ★ ★ ★ ★ ☆ (2)
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linearReg: Perform Statistical Linear Regression mephas. statistics Mizutani ★ ★ ★ ★ ★ (2)
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PK1cmt: Optimize One-Compartment PK Parameters predict. pharmacokinetic M.J. van Esdonk ★ ★ ★ ★ ☆ (3)
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shinyjs: Easily improve the user experience of your Shiny apps tutorial. shinyjs Dean Attali ★ ★ ★ ★ ☆ (2)
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PKIVsim: Master One-compartment Pharmacokinetics Simulations teach. pharmacokinetic Sungpil Han ★ ★ ★ ★ ★ (3)
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SMARTR: Pharmacokinetic Meta-analysis Research Tool pharmacometrics. analysis Jinzhong Liu ★ ☆ ☆ ☆ ☆ (1)
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MBGapp: Geostatistical Education for Population Health Scientists teach. statistics Ayla Navarro ★ ★ ★ ★ ★ (2)
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IPDmada: Analyze Patient Data Meta-Analyses of Diagnostic Test Accuracy diagnostic. analysis Junfeng Wang ★ ★ ★ ★ ★ (2)
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exploreModelMatrix: Interactively explore a design matrix explore. design Charlotte Soneson ★ ☆ ☆ ☆ ☆ (1)
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BAplotteR: Create Bland-Altman Plots for Method Comparison blandaltman. plot Joachim Goedhart ★ ★ ★ ★ ☆ (3)
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Extremebayes: Bayesian Extreme Value Analysis extreme. analysis Lee Fawcett ★ ☆ ☆ ☆ ☆ (1)
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3MFSnptest: Go-To Tool to Explore Non-parametric Test Analysis mephas. statistics Mizutani ★ ☆ ☆ ☆ ☆ (1)
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About the ShinyAppStore platform

ShinyAppStore is the leading platform for showcasing and utilizing a wide range of Shiny applications developed with the shiny R package. We will be expanding access to allow shiny apps built with Python as well. Users can submit and explore applications across various categories, add verified apps to their personal library, and enjoy easy access. The platform features well-designed apps with detailed descriptions and evaluations by users. All applications on ShinyAppStore are user-owned and open source, with the source code readily available for download on our GitHub page.
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