Software:List of data science software

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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.

See also: Software:Comparison of deep learning software, List of data mining and machine learning software, List of open-source machine learning software, and List of neural network software

Data engineering

Examples of Data engineering tools.

See also: Software:Comparison of data modeling tools

Data mining

Examples of Data mining tools.

Free and open-source

Proprietary

Database management

See also: Software:List of relational database management systems, List of NoSQL databases, List of SQL software and tools, List of NoSQL software and tools, Comparison of database administration tools, and List of time series databases

Data warehouses

Data warehouse environments include:

Data lakes

Data lake environments include:

Algorithms

See also: List of algorithms, List of machine learning algorithms, List of optimization algorithms, and List of database algorithms

Statistical software

See also: Software:List of statistical software and Comparison of statistical packages

Open-source

Public domain

Freeware

Proprietary

Data processing

Tools for Data processing and analysis:

Data and information visualization

Software for Data visualization:

See also: Software:List of information graphics software, List of charting software, Comparison of JavaScript charting libraries, and List of free data visualization software

Plotting software

Software for plotting data to support processing and visualise resuls.

Maps and geospatial visualization

Machine learning

MLOps and model deployment:

Data repositories

See also: List of datasets for machine-learning research, Comparison of source-code-hosting facilities, and Comparison of data-serialization formats

See also

References

  1. ↑ "Top 10 Java Libraries for Data Science". September 22, 2024. https://www.geeksforgeeks.org/data-science/top-10-java-libraries-for-data-science/. 
  2. ↑ "Swift for Data Science: An Introduction - Alibaba Cloud". https://www.alibabacloud.com/tech-news/a/swift/gv9vmmzloi-swift-for-data-science-an-introduction. 
  3. ↑ "Top 12 Data Science Programming Languages | MDS@Rice". https://csweb.rice.edu/academics/graduate-programs/online-mds/blog/programming-languages-for-data-science. 
  4. ↑ "5 Types of Programming Languages for Data Scientists". https://online.maryville.edu/online-masters-degrees/data-science/resources/programming-languages-for-data-scientists/. 
  5. ↑ "The Role of Programming Languages in Data Science". https://online.nyit.edu/blog/the-role-of-programming-languages-in-data-science. 
  6. ↑ "Apache Zeppelin 0.10.0 Documentation". https://zeppelin.apache.org/docs/0.10.0/. 
  7. ↑ Monaco, Michael A.; Dexter, Marie; Tamburro, Jennifer. "Introduction to SAS® Studio". Proceedings 2014 (Cary, NC: SAS Institute Inc.). https://support.sas.com/resources/papers/proceedings14/SAS302-2014.pdf. 
  8. ↑ "6 Best Python IDEs for Data Science in 2025". https://www.datacamp.com/tutorial/data-science-python-ide. 
  9. ↑ "8 Best Machine Learning Software To Use in 2025". https://www.anaconda.com/guides/machine-learning-software. 
  10. ↑ Hiter, Shelby (April 25, 2023). "10 Best Data Mining Tools & Software". https://www.eweek.com/big-data-and-analytics/data-mining-tools/. 
  11. ↑ "Cloud Data Warehouse Comparison: Amazon Redshift, Google BigQuery, Azure Synapse, Snowflake, and Databricks". https://www.linkedin.com/pulse/cloud-data-warehouse-comparison-amazon-redshift-google-himanshu-patni-yz6rc. 
  12. ↑ Darley, James (September 24, 2025). "Top 10: AI Data Lakes". https://aimagazine.com/top10/top-10-ai-data-lakes. 
  13. ↑ "Top 10 Algorithms for Data Science". https://www.nobledesktop.com/classes-near-me/blog/top-algorithms-for-data-science. 
  14. ↑ "Machine Learning Algorithms". 17 August 2023. https://www.geeksforgeeks.org/machine-learning/machine-learning-algorithms/. 
  15. ↑ Staff, Coursera (May 9, 2025). "15 Data Analysis Tools and When to Use Them". https://www.coursera.org/articles/data-analysis-tools. 
  16. ↑ "BentoML". https://github.com/bentoml. 
  17. ↑ "MLflow". http://mlflow.org/. 
  18. ↑ Zaharia, Matei A.; Chen, Andrew; Davidson, Aaron; Ghodsi, Ali; Hong, Sue Ann; Konwinski, Andy; Murching, Siddharth; Nykodym, Tomas et al. (September 28, 2018). "Accelerating the Machine Learning Lifecycle with MLflow". IEEE Data Eng. Bull.. https://api.semanticscholar.org/CorpusID:83459546. 
  19. ↑ "Production-ready ML Serving Framework | Seldon Core 2". https://docs.seldon.ai/seldon-core-2. 
  20. ↑ "Streamlit/Streamlit". https://github.com/streamlit/streamlit. 
  21. ↑ https://docs.streamlit.io
  22. ↑ "Serving Models | TFX". https://www.tensorflow.org/tfx/guide/serving. 
  23. ↑ "tensorflow/serving". September 27, 2025. https://github.com/tensorflow/serving. 
  24. ↑ "wandb/wandb". September 28, 2025. https://github.com/wandb/wandb. 
  25. ↑ "Find Open Datasets and Machine Learning Projects | Kaggle". https://www.kaggle.com/datasets. 
  26. ↑ https://archive.ics.uci.edu
  27. ↑ "OpenML". https://www.openml.org/search?type=data&sort=runs&status=active. 



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