List of data science software

These interactive notebooks, IDEs, and platforms provide specialised development environments.

• Apache Zeppelin^[5]
• Architect — Eclipse (software)
• CoCalc
• Dataiku Data Science Studio
• FreeMat
• GNU Octave
• Google Colab
• DataSpell
• Jupyter Notebook / JupyterLab
• Kaggle Notebooks
• MATLAB
• O-Matrix
• PyCharm
• RStudio
• SAS (software) and SAS Studio^[6]
• Spyder
• Visual Studio Code^[7]

The Machine learning / deep learning tools support development in those fields.

Examples of Data engineering tools.

• Apache Airflow
• Apache Flink
• Apache Hadoop
• Apache Kafka
• Apache NiFi
• Apache Spark
• Dask
• Data build tool (dbt)

Examples of Data mining tools.

Data warehouse environments include:

• Amazon Redshift
• Snowflake
• Google BigQuery
• Microsoft Azure Synapse
• Teradata
• Vertica^[10]

Data lake environments include:

• Apache Hadoop
• Cloudera
• Databricks
• Delta Lake
• Amazon S3
• Google Cloud Storage
• Azure Data Lake^[11]

• Apriori algorithm – frequent itemset mining and association rule learning in market basket analysis
• Backpropagation – algorithm for training artificial neural networks using gradient descent
• Decision Trees – tree-based algorithm for classification and regression
• Expectation–maximization algorithm – iterative procedure for maximum likelihood estimation with latent variables
• Gradient descent – iterative optimization algorithm for minimizing a loss function
• ID3 algorithm – used to generate a decision tree from a dataset
• K-Means – clustering algorithm based on minimizing within-cluster distances
• K-Nearest Neighbors (KNN) – instance-based learning and classification method
• Linear regression – estimation method for predicting a dependent variable based on independent variables
• Logistic regression – classification algorithm for predicting a binary outcome
• Naive Bayes – probabilistic classifier based on Bayes' theorem
• Ordinary least squares – estimation method for parameters in linear regression
• PageRank – graph-based algorithm for link analysis and search ranking
• Principal component analysis – technique to reduce high-dimensional data while preserving variance
• Q-learning – reinforcement learning algorithm for learning optimal actions
• Random forest – ensemble of decision trees for improved classification or regression
• Sequential minimal optimization – solver for training support vector machines
• Stochastic gradient descent – randomized variant of gradient descent for large-scale machine learning
• Support Vector Machines (SVM) – algorithm for finding a hyperplane to separate classes^[12][13]

Tools for Data processing and analysis:

Software for Data visualization:

Software for plotting data to support processing and visualise resuls.

• ArcGIS
• Carto
• Epi Map
• GeoDA
• Google Earth Engine
• Leaflet
• Mapbox
• MountainsMap
• QGIS

MLOps and model deployment:

• BentoML^[16]
• Data Version Control (DVC)
• Kubeflow
• MLflow^[17][18]
• Seldon Core^[19]
• Streamlit^[20][21]
• TensorFlow Serving^[22][23]
• Weights & Biases^[24]

• Kaggle – platform for data science competitions, datasets,^[25] and notebooks.
• OpenML – collaborative platform for sharing datasets, algorithms, and experiments.^[26]
• University of California, Irvine Machine Learning Repository^[27]
• Zenodo – open-access repository supported by CERN and the EU.

• Kaggle – online platform for data science education, competitions, datasets, and collaborative learning.
• KNIME – open-source data analytics platform used for teaching data science, machine learning, and workflow-based analysis.
• RapidMiner – used in academic research and education for data mining and machine learning.
• Statistics Online Computational Resource (SOCR) – online tools and instructional resources for statistics education.
• Tanagra (machine learning) – data mining software developed for research and teaching purposes.
• TinkerPlots – explore and analyze data through visual modeling.

Wikibooks has a book on the topic of: Data Science: An Introduction

• Business intelligence software
• List of data science journals
• List of R software and tools
• Lists of mathematical software and List of open-source software for mathematics
• List of numerical-analysis software and List of numerical analysis topics
• List of open-source data science software
• Common Crawl – nonprofit that crawls the web and freely provides its archives and datasets to the public under an MIT License