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Automation

Sliq

AI-powered platform for fast, accurate data cleaning and preparation.

Source rating 5.0 (70) 0 views 0 saves Freemium
AI data cleaning Automated data pipelines Dataset quality platform
More categories (8)
Data transformation CSV cleaning JSON cleaning Parquet cleaning Python data tools Data preparation Machine learning data Data analysis
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Free + from $25 / month

Verdict

A quick read before you dig into the full page.

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AI-powered platform for fast, accurate data cleaning and preparation
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You need enterprise SLAs or a fully managed team plan right away
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Freemium · Free + from $25 / month

Overview

Sliq is an AI-powered data cleaning platform designed for engineers and analysts. It automatically fixes common data issues such as incorrect formats, missing values, and schema problems, transforming messy data into analysis-ready data in minutes. Sliq intelligently reads data context, corrects errors, and completes missing pieces, significantly reducing the time spent on manual data cleaning. It supports various data formats including CSV, JSON, and Parquet, and offers seamless integration with existing data ecosystems and workflows.

Sliq screenshot

Access & connections

Where you can use Sliq.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • AI-powered automated data cleaning (formats, missing values, schema issues)
  • Context-aware data cleaning
  • Lightning-fast data processing
  • Seamless integration with existing data ecosystems
  • Support for multiple data formats (CSV, JSON, Parquet)

FAQ 7

What is Sliq?
Sliq is an AI-powered data cleaning platform designed for engineers and analysts. It automatically fixes common data issues such as incorrect formats, missing values, and schema problems, transforming messy data into analysis-ready data in minutes. Sliq intelligently reads data context, corrects errors, and completes missing pieces, significantly reducing the time spent on manual data cleaning. It supports various data formats including CSV, JSON, and Parquet, and offers seamless integration with existing data ecosystems and workflows.
How to use Sliq?
To use Sliq, users can upload files directly to the platform or trigger cleaning jobs programmatically using the SDK. For Python users, Sliq can be installed via `pip install sliq` and integrated into dataframes using `sliq.clean_from_dataframe` with an API key. Sliq is designed for seamless integration into existing data ecosystems and workflows.
What kind of data issues can Sliq fix?
Sliq can automatically fix formats, missing values, and schema issues, as well as general formatting errors. It intelligently reads context to correct errors and complete missing pieces in your data.
What data formats does Sliq support?
Sliq works with any format you work with, specifically mentioning CSV, JSON, and Parquet cleaning.
Is Sliq currently free to use?
Yes, Sliq is currently in beta, and during this phase, it is free to use. There is also a free 'Hobby' plan available.
How can I integrate Sliq into my existing data workflow?
You can upload files directly, trigger jobs from the SDK, or use the Python library (`pip install sliq`) to integrate Sliq seamlessly with your existing data ecosystems and workflows.
What are the limitations of the free Hobby plan?
The Hobby plan offers 50 credits per month and a maximum dataset size of 350 MB. It is for non-commercial use only, and data processed under this plan may be used to improve Sliq models.
Sliq Free + from $25 / month
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