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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Datalore is a platform for collaborative data science and analytics that aims to improve the entire analytics workflow and make working with data more enjoyable for both data scientists as well as data-savvy business teams. Datalore is a collaborative platform that focuses on data teams workflow. It offers technical-savvy business users the opportunity to work with data teams using no-code and low-code, as well as the power of Jupyter Notebooks. Datalore allows business users to perform analytic self-service. They can work with data using SQL or no-code cells, create reports, and dive deep into data. It allows core data teams to focus on simpler tasks. Datalore allows data scientists and analysts to share their results with ML Engineers. You can share your code with ML Engineers on powerful CPUs and GPUs, and you can collaborate with your colleagues in real time.

Description

Data science projects achieve success when data scientists possess the ability to independently create, enhance, and manage comprehensive workflows while prioritizing their data science tasks over engineering concerns. By utilizing Metaflow alongside popular data science libraries like TensorFlow or SciKit Learn, you can write your models in straightforward Python syntax without needing to learn much that is new. Additionally, Metaflow supports the R programming language, broadening its usability. This tool aids in designing workflows, scaling them effectively, and deploying them into production environments. It automatically versions and tracks all experiments and data, facilitating easy inspection of results within notebooks. With tutorials included, newcomers can quickly familiarize themselves with the platform. You even have the option to duplicate all tutorials right into your current directory using the Metaflow command line interface, making it a seamless process to get started and explore further. As a result, Metaflow not only simplifies complex tasks but also empowers data scientists to focus on impactful analyses.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Amazon SageMaker
Code With Me
Comet LLM
EDB Postgres Advanced Server
Google Cloud Platform
Goose
JetBrains Gateway
Kotlin
MySQL
Outerbounds
PostgreSQL
PyCharm
Python
R
SQL
Scala
Snowflake
Supermaven
Superwise

Integrations

Amazon S3
Amazon SageMaker
Code With Me
Comet LLM
EDB Postgres Advanced Server
Google Cloud Platform
Goose
JetBrains Gateway
Kotlin
MySQL
Outerbounds
PostgreSQL
PyCharm
Python
R
SQL
Scala
Snowflake
Supermaven
Superwise

Pricing Details

$19.90 per month
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

JetBrains

Founded

2000

Country

Czech Republic

Website

www.jetbrains.com/datalore/

Vendor Details

Company Name

Netflix

Country

United States

Website

metaflow.org

Product Features

Code Collaboration

Audio Conferencing
Chat / Messaging
Code Review
Discussion Threads
IDE Integration
Remote Control
Remote Pair Programming
Screen Sharing
Video Conferencing

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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Alternatives

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