# DataCamp — developer ecosystem report

- GitHub org: `datacamp`
- Category: saas
- Overall score: 45.0 / 100
- Overall rank: #331
- Last refreshed: 2026-08-20

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 44.0 | #616 | ~22% |
| Education | 67.0 | #395 | ~18% |
| AI readiness | 48.0 | #202 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 30.0 | #513 | ~16% |
| Reach | 54.0 | #245 | ~18% |
| Momentum | 9.0 | #803 | ~14% |

## Links

- GitHub: https://github.com/datacamp
- Website: https://www.datacamp.com

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 5,850 |
| Forks | 3,684 |
| Open issues | 454 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [datacamp-light](https://github.com/datacamp/datacamp-light) | 1,368 | TypeScript | Convert any blog or website to an interactive learning platform for data science |
| [datacamp-community-tutorials](https://github.com/datacamp/datacamp-community-tutorials) | 994 | Jupyter Notebook | Tutorials for DataCamp (www.datacamp.com) |
| [course-resources-ml-with-experts-budgets](https://github.com/datacamp/course-resources-ml-with-experts-budgets) | 553 | Jupyter Notebook | Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course. |
| [courses-introduction-to-python](https://github.com/datacamp/courses-introduction-to-python) | 431 | Shell | Introduction to Python by Filip Schouwenaars |
| [rdocumentation-2.0](https://github.com/datacamp/rdocumentation-2.0) | 299 | TypeScript | 📚 RDocumentation provides an easy way to search the documentation for every version of every R package on CRAN and Bioc |
| [RDocumentation](https://github.com/datacamp/RDocumentation) | 214 | R | R package to integrate rdocumentation.org into your R workflow |
| [COVID-19-EDA-tutorial](https://github.com/datacamp/COVID-19-EDA-tutorial) | 159 | Jupyter Notebook | This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Jo |
| [funneljoin](https://github.com/datacamp/funneljoin) | 141 | R | Join tables based on events occurring in sequence in a funnel. |
| [shinybones](https://github.com/datacamp/shinybones) | 140 | R | A highly opinionated framework for building shiny dashboards. |
| [courses-introduction-to-r](https://github.com/datacamp/courses-introduction-to-r) | 140 | R | Introduction to R by Jonathan Cornelissen |
| [viewflow](https://github.com/datacamp/viewflow) | 127 | Python | Viewflow is an Airflow-based framework that allows data scientists to create data models without writing Airflow code. |
| [datacamp_facebook_live_nlp](https://github.com/datacamp/datacamp_facebook_live_nlp) | 126 | Jupyter Notebook | DataCamp Facebook Live Code Along Session 1: Enjoy. |

## Methodology

Scores are computed from public signals only (GitHub, package registries, docs sites, community platforms). Pillar definitions: https://www.smoower.com/docs.md

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