This is a list of data science software and platforms used in data science, which includes programming languages, programming environments, machine learning frameworks, data engineering tools, statistical software, data analysis, plotting, MLOps systems, and more.
Programming languages
Development environments
These interactive notebooks, IDEs, and platforms provide specialised development environments.
Machine and deep learning software
The Machine learning / deep learning tools support development in those fields.
Data engineering
Examples of Data engineering tools.
Data mining
Examples of Data mining tools.
Free and open-source
Proprietary
Database management
List of RDBMS
Open source
Proprietary
Data warehouses
Data warehouse environments include:
Data lakes
Data lake environments include:
Algorithms
Statistical software
Open-source
Public domain
Freeware
Proprietary
Data processing
Tools for Data processing and analysis:
Data and information visualization
Software for Data visualization:
Plotting software
Software for plotting data to support processing and visualise resuls.
Maps and geospatial visualization
Machine learning
MLOps and model deployment:
Data repositories
- Kaggle â platform for data science competitions, datasets, and notebooks.
- OpenML â collaborative platform for sharing datasets, algorithms, and experiments.
- University of California, Irvine Machine Learning Repository
- Zenodo â open-access repository supported by CERN and the EU.
Educational data science software
- Kaggle â online platform for data science education, competitions, datasets, and collaborative learning.
- KNIME â open-source data analytics platform used for teaching data science, machine learning, and workflow-based analysis.
- RapidMiner â used in academic research and education for data mining and machine learning.
- Statistics Online Computational Resource (SOCR) â online tools and instructional resources for statistics education.
- Tanagra (machine learning) â data mining software developed for research and teaching purposes.
- TinkerPlots â explore and analyze data through visual modeling.
See also
References
External links