Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
This desktop application integrates Jupyter Notebook and Python, allowing for a seamless one-click installation. It features engaging code snippets alongside an AI assistant that enhances coding efficiency, making it an ideal tool for data science endeavors. We have meticulously developed over 100 interactive code recipes tailored for your Data Science projects, which can identify available packages within your current environment. With a single click, you can install any required modules, streamlining your workflow significantly. Users can easily create and manipulate all variables present in their Python session, while these interactive recipes expedite the completion of tasks. The AI Assistant, equipped with knowledge of your active Python session, variables, and modules, is designed to address data challenges using the Python programming language. It offers support for various tasks, including plotting, data loading, data wrangling, and machine learning. If you encounter code issues, simply click the Fix button, and the AI assistant will analyze the problem and suggest a viable solution, making your coding experience smoother and more productive. Additionally, this innovative tool not only simplifies coding but also enhances your learning curve in data science.
Description
Accelerate and simplify IoT data extraction, create AI for the shop floor, and visualize KPIs. Manage decentralized, compact data pods. Each data pod is completely autonomous and includes infrastructure for powerful analytics. Flexible storage capacity allows you to create multiple pods with different sizes. In a seamless data journey, you can collect, analyze, visualize, and visualize data. You can collect raw data from multiple sources, such as IoT routers or the web. Instantly generate reports and create custom infographics from your browser. Combine the power of VS Code, Observable and TablePlus to create interactive data science workbooks. You can see the current and past processes in real time and automate package loads up to reporting.
API Access
Has API
No
API Access
Has API
No
Integrations
Adobe Acrobat
Yes
Apache Parquet
Yes
GitHub
Yes
Google Sheets
Yes
HTML
Yes
Jupyter Notebook
Yes
Markdown
Yes
Matplotlib
Yes
OpenAI
Yes
Paddle
Yes
Integrations
Adobe Acrobat
No
Apache Parquet
No
GitHub
No
Google Sheets
No
HTML
No
Jupyter Notebook
No
Markdown
No
Matplotlib
No
OpenAI
No
Paddle
No
Pricing Details
$20 per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
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
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
MLJAR
Founded
2016
Country
Poland
Website
mljar.com
Vendor Details
Company Name
Record Evolution
Founded
2015
Country
Germany
Website
www.record-evolution.de/
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
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
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No