Scilab

Scilab

Scilab Enterprises
ndCurveMaster

ndCurveMaster

SigmaLab Tomas Cepowski

About

Numerical analysis or Scientific computing is the study of approximation techniques for numerically solving mathematical problems. Scilab provides graphics functions to visualize, annotate and export data and offers many ways to create and customize various types of plots and charts. Scilab is a high level programming language for scientific programming. It enables a rapid prototyping of algorithms, without having to deal with the complexity of other more low level programming language such as C and Fortran (memory management, variable definition). This is natively handled by Scilab, which results in a few lines of code for complex mathematical operations, where other languages would require much longer codes. It also comes with advanced data structure such as polynomials, matrices and graphic handles and provides an easily operable development environment.

About

WebAssembly (abbreviated Wasm) is a binary instruction format for a stack-based virtual machine. Wasm is designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications. The Wasm stack machine is designed to be encoded in a size- and load-time-efficient binary format. WebAssembly aims to execute at native speed by taking advantage of common hardware capabilities available on a wide range of platforms. WebAssembly describes a memory-safe, sandboxed execution environment that may even be implemented inside existing JavaScript virtual machines. When embedded in the web, WebAssembly will enforce the same-origin and permissions security policies of the browser. WebAssembly is designed to be pretty-printed in a textual format for debugging, testing, experimenting, optimizing, learning, teaching, and writing programs by hand. The textual format will be used when viewing the source of Wasm modules on the web.

About

ndCurveMaster is a specialized software designed for multivariable curve fitting. It automatically applies nonlinear regression equations to your datasets, which can consist of observed or measured values. The software supports curve and surface fitting in 2D, 3D, 4D, 5D, ..., nD dimensions. This means that no matter how complex your data is or how many variables it has, ndCurveMaster can handle it with ease. For example, ndCurveMaster can efficiently derive an optimal equation for a dataset with six inputs (x1 to x6) and an output Y, such as: Y = a0 + a1 · exp(x1)^-0.5 + a2 · ln(x2)^8 + ... + a6 · x6^5.2, to accurately match measured values. Utilizing machine learning numerical methods, ndCurveMaster automatically fits the most suitable nonlinear regression functions to your dataset and discovers the relationships between the inputs and output. This robust tool offers linear, polynomial, and nonlinear curve fitting, utilizes crucial validation and goodness-of-fit tests.

About

A simple command-line tool to collect test coverage information from Dart VM tests. It is useful if you need to generate coverage reports locally during development.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Statistical Analysis solution for companies

Audience

Developers

Audience

Scientists from all fields conducting measurements, engineers, economists, students

Audience

Developers in need of a powerful Code Coverage solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

€289
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 3.0 / 5
ease 3.0 / 5
features 3.0 / 5
design 3.0 / 5
support 3.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Scilab Enterprises
www.scilab-enterprises.com

Company Information

WebAssembly
Founded: 2015
webassembly.org

Company Information

SigmaLab Tomas Cepowski
Founded: 2017
Poland
www.ndcurvemaster.com

Company Information

pub.dev
pub.dev/packages/test_coverage

Alternatives

MATLAB

MATLAB

The MathWorks

Alternatives

Alternatives

Alternatives

MatDeck

MatDeck

LabDeck
pytest-cov

pytest-cov

Python
MapleSim

MapleSim

Waterloo Maple
QMSys GUM

QMSys GUM

Qualisyst
AssemblyScript

AssemblyScript

The AssemblyScript Project
DataMelt

DataMelt

jWork.ORG
Java

Java

Oracle
XLfit

XLfit

IDBS
JCov

JCov

OpenJDK

Categories

Categories

Categories

Categories

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Integrations

BlazorPlate
BoxLang
Codecov
Coveralls
Dart
Extism
GitHub
Graphite
Indent
JavaScript
Overleaf
Pascal
Python
Second State
SurrealDB
Wasmer
WebContainers
YAML
Zellij
fastText

Integrations

BlazorPlate
BoxLang
Codecov
Coveralls
Dart
Extism
GitHub
Graphite
Indent
JavaScript
Overleaf
Pascal
Python
Second State
SurrealDB
Wasmer
WebContainers
YAML
Zellij
fastText

Integrations

BlazorPlate
BoxLang
Codecov
Coveralls
Dart
Extism
GitHub
Graphite
Indent
JavaScript
Overleaf
Pascal
Python
Second State
SurrealDB
Wasmer
WebContainers
YAML
Zellij
fastText

Integrations

BlazorPlate
BoxLang
Codecov
Coveralls
Dart
Extism
GitHub
Graphite
Indent
JavaScript
Overleaf
Pascal
Python
Second State
SurrealDB
Wasmer
WebContainers
YAML
Zellij
fastText
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