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StatSim

by StatSim
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ActiveAvailable globallyCloud
Quick facts
VendorStatSim
Year launchedN/A
StatusActive
LocationN/A
Countries servedGlobal
Languages1
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES

About StatSim

StatSim is a useful open-source platform for statistical simulation, Bayesian inference, and practical data analysis

StatSim is a useful open-source platform for statistical simulation, Bayesian inference, and practical data analysis. Its main strength is the combination of visual model building with a collection of specialised utilities for machine learning, forecasting, data profiling, feature selection, and optimisation. Users can explore probability distributions, estimate uncertain parameters, simulate complex systems, and analyse datasets directly in a browser. Several tools also process data locally, which is beneficial when working with sensitive information. Because the core software is free, StatSim can be attractive to students, researchers, and organisations seeking alternatives to expensive analytical platforms. However, users should expect a learning curve when working with advanced statistical methods. The ecosystem is also divided into separate utilities, and some documentation appears dated. Professional consulting is available for organisations requiring additional expertise. Overall, StatSim is a worthwhile option for technical users who value open-source analytical tools and flexible statistical modelling.

Pros & Cons

Pros
  • Free and open source: Reduces software licensing costs for researchers, students, analysts, and organisations.
  • Comprehensive statistical methods: Combines probabilistic simulation, Bayesian inference, optimisation, and predictive analytics in one ecosystem.
  • Browser-based accessibility: Enables users to run supported analytical tools without installing specialised statistical software.
Cons
  • Learning curve: Visual modelling and Bayesian inference still require statistical knowledge to produce reliable results.
  • Limited public pricing information: Consulting fees require direct enquiries, making professional services harder to budget for.
  • Uneven documentation age: Some modules have older documentation, so compatibility and maintenance should be checked.

Features

Key features

Visual programming

Builds statistical models through a visual editor using interconnected blocks, reducing the need to write code manually.

Stochastic modelling

Simulates systems involving randomness and uncertainty using probability distributions and random variables.

Bayesian inference

Estimates unknown parameters and posterior distributions using methods such as Markov chain Monte Carlo (MCMC) and variational inference.

Additional features

Deterministic modelling

Creates mathematical models in which specified inputs produce predictable outputs.

Probability distributions

Provides 24 built-in probability distributions for modelling different types of random variables.

Interactive visualisations

Displays simulation results using charts, histograms, and descriptive statistics.

Constraint solving

Supports constraint-based models and optimisation of unknown variables using a solver.

StatSim Fit

Fits machine-learning models to tabular datasets and generates predictions using supported algorithms.

StatSim Forecast

Forecasts univariate time series using ARIMA-based modelling.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
1
Interface languages
1
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD

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