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Average Ratings 0 Ratings
Description
CVXOPT is an open-source software library designed for convex optimization, leveraging the capabilities of the Python programming language. Users can interact with it through the Python interpreter, execute scripts from the command line, or incorporate it into other applications as Python extension modules. The primary goal of CVXOPT is to facilitate the development of convex optimization software by utilizing Python's rich standard library and the inherent advantages of Python as a high-level programming tool. It provides efficient Python classes for both dense and sparse matrices, supporting real and complex numbers, along with features like indexing, slicing, and overloaded operations for performing matrix arithmetic. Additionally, CVXOPT includes interfaces to various solvers, such as the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and solvers for linear, quadratic, and second-order cone programming available in MOSEK, making it a versatile tool for researchers and developers in the field of optimization. This comprehensive set of features enhances its utility in tackling a wide range of optimization problems.
Description
Introducing an innovative reactive notebook designed for Python, which allows you to conduct repeatable experiments, run scripts seamlessly, launch applications, and manage versions using git.
🚀 Comprehensive: it serves as a substitute for jupyter, streamlit, jupytext, ipywidgets, papermill, and additional tools.
⚡️ Dynamic: when you execute a cell, marimo automatically runs all related cells or flags them as outdated.
🖐️ Engaging: easily connect sliders, tables, and plots to your Python code without the need for callbacks.
🔬 Reliable: ensures no hidden states, guarantees deterministic execution, and includes built-in package management for consistency.
🏃 Functional: capable of being executed as a Python script, allowing for customization via CLI arguments.
🛜 Accessible: can be transformed into an interactive web application or presentation, and functions in the browser using WASM.
🛢️ Tailored for data: efficiently query dataframes and databases using SQL, plus filter and search through dataframes effortlessly.
🐍 git-compatible: stores notebooks as .py files, making version control straightforward.
⌨️ A contemporary editor: features include GitHub Copilot, AI helpers, vim keybindings, a variable explorer, and an array of other enhancements to streamline your workflow.
With these capabilities, this notebook elevates the way you work with Python, promoting a more efficient and collaborative coding environment.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Python
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$0
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
CVXOPT
Website
cvxopt.org
Vendor Details
Company Name
marimo
Founded
2022
Country
United States
Website
marimo.io
Product Features
Product Features
Application Development
Access Controls/Permissions
No
Code Assistance
No
Code Refactoring
No
Collaboration Tools
No
Compatibility Testing
No
Data Modeling
No
Debugging
No
Deployment Management
No
Graphical User Interface
No
Mobile Development
No
No-Code
No
Reporting/Analytics
No
Software Development
No
Source Control
No
Testing Management
No
Version Control
No
Web App Development
No