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features
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support

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Description

Neptune.ai serves as a robust platform for machine learning operations (MLOps), aimed at simplifying the management of experiment tracking, organization, and sharing within the model-building process. It offers a thorough environment for data scientists and machine learning engineers to log data, visualize outcomes, and compare various model training sessions, datasets, hyperparameters, and performance metrics in real-time. Seamlessly integrating with widely-used machine learning libraries, Neptune.ai allows teams to effectively oversee both their research and production processes. Its features promote collaboration, version control, and reproducibility of experiments, ultimately boosting productivity and ensuring that machine learning initiatives are transparent and thoroughly documented throughout their entire lifecycle. This platform not only enhances team efficiency but also provides a structured approach to managing complex machine learning workflows.

Description

Launched in the early 1990s, PROSPER has undergone continuous research and development for more than twenty years. Each year, enhancements are made, adding new models and features to its already comprehensive array of functionalities. With over three million combinations available, it can effectively simulate a wide range of physical phenomena occurring in wells and pipelines. Despite this extensive modeling capacity, the adaptive interface smartly limits the user's view to only the necessary input fields and menus based on their selections, thereby simplifying the model-building process. PROSPER has become the benchmark in the industry for well and pipeline modeling, thanks to its exceptional technical foundation and distinctive modeling features. Today, it plays a pivotal role in the Digital Oil Field system, with its calculation engine being employed in various workflows in real time across hundreds of fields globally. As a result, users from diverse regions benefit from its advanced capabilities, solidifying its reputation as an essential tool in the oil and gas sector.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Yes 
Arize AI Yes 
Bokeh Yes 
Deepnote Yes 
Google Colab Yes 
Jupyter Notebook Yes 
JupyterLab Yes 
Keras Yes 
MLflow Yes 
Plotly Dash Yes 
PyTorch Yes 
TensorFlow Yes 

Integrations

Amazon SageMaker No 
Arize AI No 
Bokeh No 
Deepnote No 
Google Colab No 
Jupyter Notebook No 
JupyterLab No 
Keras No 
MLflow No 
Plotly Dash No 
PyTorch No 
TensorFlow No 

Pricing Details

$49 per month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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 Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

neptune.ai

Founded

2017

Country

United States

Website

neptune.ai/

Vendor Details

Company Name

Petroleum Experts

Founded

1990

Country

Scotland

Website

www.petex.com/products/ipm-suite/prosper/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Oil and Gas

Compliance Management No 
Equipment Management No 
Inventory Management No 
Job Costing No 
Logistics Management No 
Maintenance Management No 
Material Management No 
Project Management No 
Resource Management No 
Scheduling No 
Work Order Management No 

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