New packages

  • A new package isdparser (v0.1) is on CRAN. isdparser provides tools for parsing NOAA Integrated Surface Data (ISD) files, described at Data includes for example, wind speed and direction, temperature, cloud data, sea level pressure, and more. ISD data comes from ~35,000 stations worldwide, though best coverage is in North America/Europe/Australia. Included are tools for parsing entire files, or individual lines of data. Check out the intro vignette to get started. Repository on GitHub
  • A new package tesseract (v1.0) is on CRAN. tesseract provides bindings to the Tesseract OCR engine, with unicode (UTF-8) support that can recognize over 100 languages out of the box. Check out the README to get started. Repository on GitHub


  • A new version (0.3.0) of lawn is on CRAN. See release notes for changes. This version is a big change from the previous version. We’ve updated the package to use turf.js v3.5.2, which means some functions are now defunct, there’s new functions, and parameters have changed in some functions. Breaking changes are never good, but we’re simply trying to mirror the turf.js API - hopefully they won’t make drastic changes too often. Repository on GitHub.
  • A new version (0.1.5) of stplanr is on CRAN. See release notes for changes. Repository on GitHub.
  • A new version (1.0.4) of rentrez is on CRAN. Repository on GitHub.
  • A new version (0.2.0) of geojsonlint is on CRAN. See release notes for changes, only major change is upgrading to js library geojsonhint v2.0.0-beta2. Repository on GitHub.
  • A new version (0.3.0) of mapr is on CRAN. See release notes for changes. This version by default colors points separately by taxon, adds convex hull support for most plotting methods, and adds metadata to leaflet popups by default. Repository on GitHub.

Package notes


We accept community contributed packages via our onboarding system - a software review system, sorta like scholarly paper review, but way better. We’ll highlight new packages here that have come through this system. A huge thanks to our reviewers, who do a lot of work reviewing (see the blog post on our review system), and the authors of the packages!

The following package recently went through our onboarding process and has been approved:

The following packages were recently submitted to our onboarding process and are undergoing review:

Use cases

Many recent papers and blog posts cite rOpenSci packages:

Keep up with rOpenSci news

There are a number of ways to keep up with what rOpenSci is doing:


  1. Ladam, C., Harden, J. J., & Windett, J. H. (2016). Does the Election of a Female Governor Influence Women’s Political Ambition? 

  2. Tidy Text Mining with R 

  3. riem Package — Getting World Weather Data in Super Easy Way 

  4. Personalizing the Data Points: Following the Open Data Trail to Coyhaique 

  5. Open Air Quality Fun with Fireworks 

  6. Analyzing #first7jobs tweets with MonkeyLearn and R 

  7. Mihaljević-Brandt, H., Santamaría, L., & Tullney, M. (2016). The Effect of Gender in the Publication Patterns in Mathematics. PLOS ONE, 11(10), e0165367. 

  8. Halse-Gramkow, M., Ernst, M., Rønsted, N., Dunn, R. R., & Saslis-Lagoudakis, C. H. (2016). Using evolutionary tools to search for novel psychoactive plants. Plant Genetic Resources, 1–10. 

  9. Doyle, J. M., Merovitch, N., Wyeth, R. C., Stoyek, M. R., Schmidt, M., Wilfart, F., … Croll, R. P. (2017). A simple automated system for appetitive conditioning of zebrafish in their home tanks. Behavioural Brain Research, 317, 444–452. 

  10. Hertler, B., Buitrago, M. M., Luft, A. R., & Hosp, J. A. (2016). Temporal course of gene expression during motor memory formation in primary motor cortex of rats. Neurobiology of Learning and Memory, 136, 105–115. 

  11. Meyer, A. G. (2016). Analysis of infection biomarkers within a Bayesian framework reveals their role in pneumococcal pneumonia diagnosis in HIV patients. 

  12. Cole, C. B., Patel, S., French, L., & Knight, J. (2016). Semi-Automated Identification of Ontological Labels in the Biomedical Literature with goldi. 

  13. Walker, K. E. (2016). Tools for Interactive Visualization of Global Demographic Concepts in R. Spatial Demography, 4(3), 207–220. 

  14. Silva, D.; Meireles, F. (2015). Ciência Política na era do Big Data: automação na coleta de dados digitais. Politica Hoje, v.2, (pp. 87-102) 

  15. Dennis, T. (2016). Using R and ggvis to Create Interactive Graphics for Exploratory Data Analysis. Data Visualization: A Guide to Visual Storytelling for Libraries, 149.