Spread.NET

Spread.NET

GrapeCity
+
+

Related Products

  • MobiOffice (formerly OfficeSuite)
    13,029 Ratings
    Visit Website
  • JOpt.TourOptimizer
    8 Ratings
    Visit Website
  • Label LIVE
    170 Ratings
    Visit Website
  • Expedience Software
    30 Ratings
    Visit Website
  • Jotform
    7,483 Ratings
    Visit Website
  • Total ETO
    44 Ratings
    Visit Website
  • Budgyt
    279 Ratings
    Visit Website
  • Fixed Asset Pro
    174 Ratings
    Visit Website
  • Process Street
    1,099 Ratings
    Visit Website
  • ONLYOFFICE Docs
    706 Ratings
    Visit Website

About

Explore the possibilities of your .NET enterprise apps with these dependency-free .NET spreadsheet components. .NET spreadsheet components are advanced software components that allow professional developers to add complete Excel-like functionality to their desktop applications. The .NET spreadsheet control includes support for Excel import/export, full cell customization, an extensive calculation engine with over 450 functions and more, all with zero dependencies on Excel. Leverage the extensive .NET spreadsheet API and powerful calculation engine to create analysis, budgeting, dashboard, data collection and management, scientific, and financial applications. Every platform of Spread.NET ensures maximum performance and speed for your enterprise apps, and its modular structure means you only need to add what you use to your .NET spreadsheet apps.

About

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

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

Developers that need .NET spreadsheet components

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1499.00/year/user
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

Company Information

GrapeCity
Founded: 1980
United States
www.grapecity.com/spreadnet

Company Information

statsmodels
www.statsmodels.org/stable/index.html

Alternatives

SpreadJS

SpreadJS

GrapeCity

Alternatives

Categories

Categories

Spreadsheet Features

Analytics
Audit Trail
Calculators
Charting
Multi-User Collaboration
Templates

Integrations

.NET
Anaconda
Python
Visual Studio

Integrations

.NET
Anaconda
Python
Visual Studio
Claim Spread.NET and update features and information
Claim Spread.NET and update features and information
Claim statsmodels and update features and information
Claim statsmodels and update features and information