List of data science software

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

Data warehouses

Data warehouse environments include:

Data lakes

Data lake environments include:

Algorithms

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

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:

BentoML
Data Version Control (DVC)
Kubeflow
MLflow
Seldon Core
Streamlit
TensorFlow Serving
Weights & Biases

Data repositories

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

Educational data science software

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 – 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.