Sliq
Sliq is an AI-powered data cleaning platform that automatically fixes formats, missing values, and schema issues to transform messy data into analysis-ready datasets in minutes.
https://sliqdata.com/?ref=producthunt
Product Information
Updated:Dec 19, 2025
What is Sliq
Sliq is an innovative data cleaning solution that uses artificial intelligence to automate the tedious process of preparing data for analysis. Originally developed as a scalable decision tree classifier at IBM under the Quest data mining project, Sliq has evolved into a comprehensive data cleaning platform that can handle multiple data formats including Excel, CSV, JSON, Parquet files and integrates seamlessly with tools like Pandas and Polars. The platform is designed to help engineers, analysts and data scientists clean and standardize their data efficiently without manual intervention.
Key Features of Sliq
Sliq appears to be a versatile software platform with two main product lines: 1) An AI-powered data cleaning platform that automates the process of cleaning and preparing data for analysis, supporting multiple file formats and offering context-aware cleaning capabilities; 2) A business management software suite that includes features for invoicing, client management, task tracking, e-signatures, and financial operations. Both solutions focus on improving efficiency and streamlining workflows for businesses of various sizes.
Intelligent Data Cleaning: AI-powered system that automatically detects and corrects errors, fills missing data, and understands context across different data domains
Multi-format Support: Handles various data formats including Excel, CSV, JSON, Parquet files, and integrates with popular data analysis tools like Pandas and Polars
Business Process Management: Comprehensive suite of tools for managing client data, tasks, invoicing, and financial operations in a centralized dashboard
Customizable Workflows: Allows businesses to tailor the platform to their specific needs with configurable templates and automation options
Use Cases of Sliq
Data Science and Analytics: Preparing large datasets for analysis and machine learning by automatically cleaning and standardizing data
Small Business Operations: Managing invoicing, inventory, and client relationships for small to medium-sized businesses
Financial Management: Handling business expenses, payments processing, and financial tracking with integrated card services and automated workflows
Pros
Fast and efficient automation of data cleaning processes
Comprehensive business management features
Flexible integration capabilities with existing systems
Cons
May have limitations with very large datasets
Some basic features like partial purchase order processing are missing
How to Use Sliq
Download and Install: Install Sliq using pip command: 'pip install sliq' in your terminal/command prompt
Set Up API Key: Obtain an API key from Sliq and set it as an environment variable 'SLIQ_API_KEY'
Import Sliq: In your Python script, import the Sliq library using: 'import sliq'
Prepare Data File: Have your messy data file ready (supports multiple formats including CSV, JSON, Parquet, Excel)
Clean Data: Use sliq.clean_from_path() function with required parameters: api_key, dataset_path, dataset_name, dataset_description, dataset_purpose, and save_clean_file_path
Review Results: Check the cleaned output file at your specified save location. The data should now be analysis-ready with errors corrected and missing values handled
Integration: Integrate the cleaned data with your existing workflows or analysis tools. Sliq works seamlessly with common data analysis frameworks
Sliq FAQs
Sliq is an AI-powered data cleaning platform that automatically cleans messy data by understanding context, correcting errors, and completing missing pieces to make data analysis-ready in minutes rather than hours or days.
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