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ease
features
design
support

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Description

By leveraging our advanced algorithms, you can enhance your model's complexity to more accurately reflect real-world scenarios while ensuring you can solve it within the given timeframe. Seamlessly incorporate Gurobi into your existing applications using familiar programming languages. Our user-friendly programming interfaces are crafted to be efficient and contemporary, helping you reduce the learning curve while boosting your overall productivity. The Python API we offer includes advanced modeling features that simplify the creation of optimization models, making the process more straightforward. You have the option to utilize Anaconda Python distributions, which come with pre-compiled libraries to facilitate application development, or choose Spyder for visual development and Jupyter for a notebook-style development experience, ensuring you have versatile tools at your disposal. Additionally, Gurobi's robust capabilities empower users to tackle increasingly complex optimization challenges with confidence.

Description

Maintain your usual routine while working within Jupyter Notebooks or any Python setting. Just invoke modelbi.deploy to launch your model, allowing Modelbit to manage it — along with all associated dependencies — in a production environment. Machine learning models deployed via Modelbit can be accessed directly from your data warehouse with the same simplicity as invoking a SQL function. Additionally, they can be accessed as a REST endpoint directly from your application. Modelbit is integrated with your git repository, whether it's GitHub, GitLab, or a custom solution. It supports code review processes, CI/CD pipelines, pull requests, and merge requests, enabling you to incorporate your entire git workflow into your Python machine learning models. This platform offers seamless integration with tools like Hex, DeepNote, Noteable, and others, allowing you to transition your model directly from your preferred cloud notebook into a production setting. If you find managing VPC configurations and IAM roles cumbersome, you can effortlessly redeploy your SageMaker models to Modelbit. Experience immediate advantages from Modelbit's platform utilizing the models you have already developed, and streamline your machine learning deployment process like never before.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
Amazon Redshift
C
C++
Databricks
Deepnote
GitHub
GitLab
Google Colab
Java
Jupyter Notebook
MATLAB
Microsoft Excel
Nextmv
PyTorch
Python
R
Snowflake
TensorFlow
Visual Studio

Integrations

.NET
Amazon Redshift
C
C++
Databricks
Deepnote
GitHub
GitLab
Google Colab
Java
Jupyter Notebook
MATLAB
Microsoft Excel
Nextmv
PyTorch
Python
R
Snowflake
TensorFlow
Visual Studio

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Gurobi Optimization

Founded

2008

Country

United States

Website

www.gurobi.com/solutions/gurobi-optimizer

Vendor Details

Company Name

Modelbit

Founded

2022

Country

United States

Website

www.modelbit.com

Product Features

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Alternatives

JupyterLab Reviews

JupyterLab

Jupyter

Alternatives