Python library for decision tree visualization and model interpretation.
Open source
24 alternativesDrivenData
DrivenData hosts data science competitions where participants build predictive models for organizations addressing social challenges.
About DrivenData
DrivenData runs online modeling competitions that connect mission-driven organizations with data scientists, students and researchers. Competitions address social-impact questions in areas such as health, education, conservation, international development, research and public services.
For needs that do not fit a competition, including flexible requirements or sensitive data sources, an in-house team works directly with organizations through DrivenData Labs. Past prize-winning solutions and several open-source data science tools are shared publicly for learning and reuse.
Key features
- Online machine learning competitions for social-impact questions
- Direct data science and engineering work through DrivenData Labs
- Open sharing of prize-winning competition solutions on GitHub
- Open-source project template cookiecutter data science
- Command-line ethics checklist tool deon
- Ebook on 10 rules of reliable data science
Best for: Mission-driven organizations with social-impact data questions and data scientists seeking real-world projects.
Good for
- Worked with more than 80 organizations across 150+ projects
- Prize-winning solutions from past competitions are shared openly on GitHub
- In-house team available for work that does not fit a competition format
Watch out for
- Competitions are not suitable for every problem, including some sensitive data needs
DrivenData at a glance
- Website
- drivendata.org
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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DrivenData FAQ
How do DrivenData competitions work?
DrivenData identifies real-world questions where data science can support social impact, then runs online modeling competitions for data scientists to develop models to solve them.
What if a competition is not right for an organization?
DrivenData Labs provides direct work by its team of data scientists and engineers for more flexible needs or sensitive data sources.
Can I learn from past competitions?
Yes, prize-winning solutions from past competitions are shared openly on GitHub for anyone to learn and build from.
Is something wrong or out of date?
Tell us and an editor will check it.
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