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List of data science software

From Wikipedia, the free encyclopedia

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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.

Data engineering

Examples of Data engineering tools.

Data mining

Examples of Data mining tools.

Free and open-source

Carrot2
Chemicalize.org
ELKI
General Architecture for Text Engineering (Gate)
KNIME
MOA
mlpack
NLTK
OpenNN
Orange
PSPP
R
scikit-learn
Torch
UIMA
Weka

Proprietary

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Database management

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^[13]^[14]

Statistical software

Open-source

Public domain

Freeware

Proprietary

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Data processing

Tools for Data processing and analysis:

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Data and information visualization

Summarize

Perspective

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

Data repositories

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

See also

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

References

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External links

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