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Average Ratings 0 Ratings
Description
Cleanlab Studio offers a comprehensive solution for managing data quality and executing data-centric AI processes within a unified framework designed for both analytics and machine learning endeavors. Its automated pipeline simplifies the machine learning workflow by handling essential tasks such as data preprocessing, fine-tuning foundation models, optimizing hyperparameters, and selecting the best models for your needs. Utilizing machine learning models, it identifies data-related problems, allowing you to retrain on your refined dataset with a single click. You can view a complete heatmap that illustrates recommended corrections for every class in your dataset. All this valuable information is accessible for free as soon as you upload your data. Additionally, Cleanlab Studio comes equipped with a variety of demo datasets and projects, enabling you to explore these examples in your account right after logging in. Moreover, this user-friendly platform makes it easy for anyone to enhance their data management skills and improve their machine learning outcomes.
Description
OpenRefine, which was formerly known as Google Refine, serves as an exceptional resource for managing chaotic data by enabling users to clean it, convert it between different formats, and enhance it with external data and web services. This tool prioritizes your privacy, as it operates exclusively on your local machine until you decide to share or collaborate with others; your data remains securely on your computer unless you choose to upload it. It functions by setting up a lightweight server on your device, allowing you to engage with it through your web browser, making data exploration of extensive datasets both straightforward and efficient. Additionally, users can discover more about OpenRefine's capabilities through instructional videos available online. Beyond cleaning your data, OpenRefine offers the ability to connect and enrich your dataset with various web services, and certain platforms even permit the uploading of your refined data to central repositories like Wikidata. Furthermore, a continually expanding selection of extensions and plugins is accessible on the OpenRefine wiki, enhancing its versatility and functionality for users. These features make OpenRefine an invaluable asset for anyone looking to manage and utilize complex datasets effectively.
API Access
Has API
API Access
Has API
Integrations
Amazon Redshift
Amazon S3
Dandelion API
Databricks Data Intelligence Platform
Dropbox
Google Cloud Storage
Hugging Face
JupyterHub
Keras
OpenText Analytics Database (Vertica)
Integrations
Amazon Redshift
Amazon S3
Dandelion API
Databricks Data Intelligence Platform
Dropbox
Google Cloud Storage
Hugging Face
JupyterHub
Keras
OpenText Analytics Database (Vertica)
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
Cleanlab
Country
United States
Website
cleanlab.ai/
Vendor Details
Company Name
OpenRefine
Founded
2010
Website
openrefine.org
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Product Features
Data Cleansing
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management