esDynamic

esDynamic

eShard
+
+

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About

Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Monitor your models during every step from training to production. Get alerts when something is amiss, and debug your models to address the issue. Increase productivity, collaboration, and visibility across all teams and stakeholders.

About

Maximize your security testing journey, from setting up your bench to analyzing your data processing results, esDynamic saves you valuable time and effort, empowering you to unleash the full potential of your attack workflow. Discover the flexible and comprehensive Python-based platform, perfectly suited for every phase of your security analysis. Customize your research space to meet your unique requirements by effortlessly adding new equipment, integrating tools, and modifying data. Additionally, esDynamic features an extensive collection of materials on complex topics that would typically require extensive research or a team of specialists, granting you instant access to expertise. Say goodbye to scattered data and fragmented knowledge. Welcome a cohesive workspace where your team can effortlessly share data and insights, fostering collaboration and accelerating discoveries. Centralize and solidify your efforts in JupyterLab notebooks to share with your team.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world application

Audience

Teams looking for a solution to analyze and test their data workflow and processing results

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$179 per user per month
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Comet
Founded: 2017
United States
www.comet.com

Company Information

eShard
France
eshard.com/esdynamic

Alternatives

Alternatives

JupyterLab

JupyterLab

Jupyter
Keepsake

Keepsake

Replicate

Categories

Data Science Supported
Deep Learning Supported
LLM Evaluation Supported
Machine Learning Supported

Categories

Data Science Supported
Software Testing Supported

Deep Learning Features

Convolutional Neural Networks Not Supported
Document Classification Not Supported
Image Segmentation Not Supported
ML Algorithm Library Supported
Model Training Supported
Neural Network Modeling Not Supported
Self-Learning Not Supported
Visualization Supported

Machine Learning Features

Deep Learning Supported
ML Algorithm Library Supported
Model Training Supported
Natural Language Processing (NLP) Supported
Predictive Modeling Not Supported
Statistical / Mathematical Tools Not Supported
Templates Not Supported
Visualization Supported

Integrations

Python Supported
Amazon Web Services (AWS) Supported
Apache Spark Supported
Axolotl Supported
Clone Protocol Supported
CogniSync Supported
Flask Supported
IBM Cloud Supported
JupyterLab Not Supported
Keras Supported
Ludwig Supported
Microsoft Azure Supported
New Relic Supported
Plotly Dash Supported
PyTorch Supported
Seldon Supported
TensorFlow Supported
Ultralytics Supported
Weaviate Supported
esChecker Not Supported

Integrations

Python Supported
Amazon Web Services (AWS) Not Supported
Apache Spark Not Supported
Axolotl Not Supported
Clone Protocol Not Supported
CogniSync Not Supported
Flask Not Supported
IBM Cloud Not Supported
JupyterLab Supported
Keras Not Supported
Ludwig Not Supported
Microsoft Azure Not Supported
New Relic Not Supported
Plotly Dash Not Supported
PyTorch Not Supported
Seldon Not Supported
TensorFlow Not Supported
Ultralytics Not Supported
Weaviate Not Supported
esChecker Supported
Claim Comet and update features and information
Claim Comet and update features and information
Claim esDynamic and update features and information
Claim esDynamic and update features and information