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About

CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. Efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic. Interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

Year-to-year comparisons can highlight trends and point up the need for action. Trend ratio analysis works best with VentureLine's five-year accounting ratios married with a common size analysis. With time period to time period in financial analysis, good or poor performance becomes obvious. VentureLine provides cross-sectional financial analysis tools, comparing industry financial ratios to any company or comparing two companies in similar lines of business. Highly recommended by expert analysts is the most effective form of cross-sectional financial analysis: comparing a company's financial ratios and common size percentages to industry ratios and percentages in which the company competes. One way to visually zero in on potential problems and missteps taking place within a business is to prepare and study common size financial statements. Common size financial statements get rid of the dollars and cents, reflecting account balances as percentages only.

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

Component Library solution for developers

Audience

Developers interested in a beautiful but advanced programming language

Audience

Companies searching for a financial analysis solution to manage and improve their operations

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

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

CVXOPT
cvxopt.org

Company Information

Python
Founded: 1991
www.python.org

Company Information

VentureLine
www.ventureline.com

Alternatives

Alternatives

Alternatives

Solver SDK

Solver SDK

Frontline Systems
Juris Analyst

Juris Analyst

Juris Technologies
Lambda

Lambda

Lambda Finance

Categories

Categories

Categories

Financial Reporting Features

"What If" Scenarios
Audit Trail
Balance Sheet
Cash Management
Consolidation / Roll-Up
Forecasting
General Ledger
Income Statements
Multi-Company
Multi-Department / Project
Profit / Loss Statement

Integrations

AI CERTs
Authorizer
Bluefish
Clutch
CodeGen
Codepad
DataChain
Devv
Dify
Exceptionly
Gerrit Code Review
Google Cloud Vision AI
JAX
KitchenAI
Monster API
Qwen
ShipFlask
Tetragon
UbiOps
WhyLabs

Integrations

AI CERTs
Authorizer
Bluefish
Clutch
CodeGen
Codepad
DataChain
Devv
Dify
Exceptionly
Gerrit Code Review
Google Cloud Vision AI
JAX
KitchenAI
Monster API
Qwen
ShipFlask
Tetragon
UbiOps
WhyLabs

Integrations

AI CERTs
Authorizer
Bluefish
Clutch
CodeGen
Codepad
DataChain
Devv
Dify
Exceptionly
Gerrit Code Review
Google Cloud Vision AI
JAX
KitchenAI
Monster API
Qwen
ShipFlask
Tetragon
UbiOps
WhyLabs
Claim CVXOPT and update features and information
Claim CVXOPT and update features and information
Claim Python and update features and information
Claim Python and update features and information
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Claim VentureLine and update features and information