rOpenSci
Nonprofit initiative that builds peer-reviewed open-source R packages, the R-universe platform, multilingual publishing tools, and the Champions mentorship program to support reproducible scientific research globally.
- Company typePrivate
- Founded2011
- HeadquartersBerkeley, United States
- Headcount11–50
- GTM typeB2C
- OfferingSoftware
What rOpenSci does
rOpenSci is a 501(c)(3) nonprofit initiative, fiscally sponsored by NumFOCUS and headquartered in Berkeley, California, that builds social and technical infrastructure for open and reproducible scientific research using the R programming language. Founded in 2011 by Karthik Ram, Scott Chamberlain, and Carl Boettiger, the organization sustains a catalog of 360+ peer-reviewed R packages organized into categories spanning data access, extraction, publication, visualization, geospatial analysis, statistics, taxonomy, and image/audio processing. The Software Peer Review process combines academic peer review with production code review on GitHub, validating packages against documented standards codified in the Dev Guide and Statistical Software Dev Guide. R-universe, elevated to an R Consortium top-level project in 2024, provides next-generation discovery, testing, and personal repository publishing for R tools.
rOpenSci firmographics
Firmographics- Name
- rOpenSci
- Legal name
- rOpenSci
- Website
- https://ropensci.org
- Company type
- Private
- Founded year
- 2011
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Nonprofit initiative that builds peer-reviewed open-source R packages, the R-universe platform, multilingual publishing tools, and the Champions mentorship program to support reproducible scientific research globally.
- Ownership category
- akta.pro rank
rOpenSci industry classification
Industry- Product category
- Open Science Research Software
- NAICS
- Software Publishers (5132), Other Scientific and Technical Consulting Services (54169)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Open-Source & Developer Communities (BPAMABAM)
- akta.pro secondary industries
- Developer & Open-Source Communities (MPACAJAK), OER Repositories, Discovery & Metadata Services (EDAGAJAL)
Keywords
Where rOpenSci is headquartered
LocationHeadquarters
- HQ city
- Berkeley
- HQ country
- United States
- HQ region
- North America
Markets served
rOpenSci business model
Business model- GTM type
- B2C
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales
Revenue model
- Grants and Donations: rOpenSci is 100% supported by grants and donations. Donations support contractors, web services, and community events. The organization is a Sponsored Project of NumFOCUS.
- Institutional Funding: Financial support from R-consortium, Moore Foundation, and Google Season of Docs for specific projects like R-universe development.
Go-to-market motion1 record
Distribution channels4 records
Marketing channels8 records
rOpenSci product offering
Product offeringCore offering
rOpenSci develops, curates, and peer-reviews a suite of hundreds of vetted R software packages organized into categories such as Data Access, Data Extraction, Data Visualization, Geospatial, Statistics, and Taxonomy, supporting the full scientific research data lifecycle. It operates the R-universe platform for package discovery, learning, and publishing; runs a Software Peer Review process combining academic-style review with production code review via GitHub; delivers the Champions Program for mentorship; and provides multilingual publishing tools and guides. All packages and tools are free and open-source, funded entirely through grants and donations.
Product overview
rOpenSci is a non-profit organization that serves as both a package ecosystem and a community-driven platform for open science. The core offering is a suite of hundreds of vetted R packages organized into categories (Data Access, Data Extraction, Data Publication, Data Visualization, Databases, Geospatial, HTTP tools, Image & Audio Processing, Literature, Security, Statistics, and Taxonomy), all reviewed through the Software Peer Review process. These packages are complemented by the R-universe Platform for package discovery, development, and publishing; the Champions Program for mentorship; and Multilingual Publishing initiatives for translation. Together, these products form an integrated infrastructure supporting the full research data lifecycle and analysis across scientific fields.
Differentiator
Problem solved
Functional benefit
Brands
- R-Universe: Next-generation platform for discovering R tools, learning from documentation, developing and testing packages, and publishing collections.
- Champions Program
- Multilingual Publishing
Products and services
- Software Peer Review A transparent peer review service for R packages that combines academic peer review with production software code reviews via GitHub, validating high-quality packages and improving best practices in the research software community. Targeted at R package developers and researchers.
- R-universe Platform Next-generation platform for discovering R tools, learning from documentation, developing and testing packages, and publishing collections. Allows individuals, organizations, and consortia to manage their own repositories at any scale.
- rOpenSci R Packages Suite A suite of hundreds of vetted, peer-reviewed R software tools organized into categories including Data Access, Data Extraction, Data Publication, Data Visualization, Databases, Geospatial, HTTP tools, Image & Audio Processing, Literature, Security, Statistics, and Taxonomy. Used by researchers at NASA, WHO, USGS, NOAA, Fred Hutch, and SCAR.
- babeldown R package that translates Markdown-based content through an external web API (DeepL) to support multilingual publishing of open source resources.
- babelquarto R package that sets up and renders a multilingual Quarto website or book, enabling localization of open source documentation.
Quantifiable outcome
- 360+ peer-reviewed and community packages
- +2 more outcomes
Companies that use rOpenSci
Customer profileNamed customers6 records
Segments4 records
Ideal customer profiles3 records
rOpenSci technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability10 records
Feature4 records
rOpenSci partnerships and signals
Strategic signalScale indicators4 records
Recent moves6 records
Expansion highlights5 records
rOpenSci competitors and assessment
Company assessmentDirect peers
- Bioconductor: Open source R-based project for bioinformatics software with peer-reviewed packages. Most directly comparable peer — shares the R package ecosystem, peer review process, and scientific community model with rOpenSci, though focused on genomics/life sciences.
- The Carpentries: Community-driven organization teaching data science and research computing skills to researchers worldwide. Comparable as a community-led, foundation-funded open science infrastructure org with similar mentorship, training, and community call programs.
- Journal of Open Source Software (JOSS): Open access journal that reviews and publishes research software using a transparent GitHub-based peer review process. Highly comparable to rOpenSci's Software Peer Review model — same code-review-as-publication concept applied to open source research tools.
- Software Sustainability Institute: UK-based organization that supports sustainable research software through training, community programs, and policy advocacy. Comparable mission and operating model — improving research software quality and sustainability via community programs.
Broad incumbents
- NumFOCUS: 501(c)(3) fiscal sponsor for rOpenSci and many other open source scientific computing projects (NumPy, SciPy, pandas, Jupyter). Operates at a broader scale as an umbrella sponsor for the entire PyData stack, with overlapping mission and governance model.
- R Consortium: Industry and community group supporting the R language and its ecosystem, including funding top-level projects like R-universe. Comparable as a foundation-backed steward of the R ecosystem, though operating at the language/governance level rather than the package level.
- Python Software Foundation: Nonprofit foundation stewarding Python, the dominant language in data science and scientific computing. Not a direct competitor but a structural alternative — community members may shift between R and Python ecosystems, making this a strategic adjacent peer.
Emerging players
- eLife: Open access journal in life sciences and medicine that emphasizes reproducible research and open science practices. Adjacent in the open science movement, addressing reproducibility at the publication layer where rOpenSci operates at the software layer.
- Center for Open Science: Nonprofit that provides the Open Science Framework (OSF) infrastructure for open research workflows. Comparable as a foundation-backed open science infrastructure provider, though focused on workflow/repositories rather than scientific software packages.
Others
- Apache Software Foundation: Steward of hundreds of open source projects via a foundation model with formal software governance. Useful as a reference for open source foundation governance, though operating at much greater scale and across domains rather than focusing on scientific R packages.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
rOpenSci social profiles
Digital presencerOpenSci financial estimates
Financial estimateRevenue estimate
Valuation estimate
rOpenSci leadership team
Management profileNumber of profiles
Profiles8 records
rOpenSci funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
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rOpenSci M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about rOpenSci
What does rOpenSci do?
rOpenSci develops, curates, and peer-reviews a suite of hundreds of vetted R software packages organized into categories such as Data Access, Data Extraction, Data Visualization, Geospatial, Statistics, and Taxonomy, supporting the full scientific research data lifecycle. It operates the R-universe platform for package discovery, learning, and publishing; runs a Software Peer Review process combining academic-style review with production code review via GitHub; delivers the Champions Program for mentorship; and provides multilingual publishing tools and guides. All packages and tools are free and open-source, funded entirely through grants and donations.
Is rOpenSci a public or private company?
rOpenSci is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was rOpenSci founded?
rOpenSci was founded in 2011. It employs 11 to 50 people.
Where is rOpenSci based?
rOpenSci is headquartered in Berkeley, United States, in the North America region.
How does rOpenSci make money?
Two revenue lines are on record. Grants and Donations are the primary driver. The others are institutional Funding.
Who are rOpenSci's main competitors?
Direct peers on record are Bioconductor, The Carpentries, Journal of Open Source Software (JOSS) and Software Sustainability Institute. Broad incumbents are NumFOCUS, R Consortium and Python Software Foundation. Emerging players are eLife and Center for Open Science. Apache Software Foundation is listed as an others.
Does rOpenSci have an API?
No public API is recorded for rOpenSci.
What industry is rOpenSci in?
rOpenSci's product category is Open Science Research Software. Its primary akta.pro industry code is BPAMABAM, Open-Source & Developer Communities, with a secondary code of MPACAJAK, Developer & Open-Source Communities. Its NAICS code is 5132 and its SIC code is 7372.