Tictable
Tictable is a minimalist, AI-powered data studio designed to help users work with everything from small datasets to massive data collections through a fast, browser-based environment. It combines the familiarity of spreadsheets with the power of a built-in SQL engine, allowing users to run queries directly in the browser without server round-trips, ensuring near-instant results and smooth performance even with millions of rows. It connects to multiple data sources such as CSV, JSON, Parquet, and local databases, automatically importing, cleaning, and structuring data through its “magic import” system, which detects formatting issues and prepares datasets for immediate use. Tictable integrates an agentic AI assistant that can explore data, generate filters, create formulas, and build reports from natural language prompts, executing queries in real time to transform raw data into actionable insights.
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Querri
Querri is an AI-powered data analytics platform designed to make data collaboration effortless by enabling users to connect, clean, analyze, and visualize data all in one place. It features a natural-language interface that lets you ask questions in plain English and instantly get visual answers. It also includes automated data cleansing and ingestion tools that handle messy or disparate files (CSV, Excel, JSON, Parquet) and cloud-storage sources (Google Drive, OneDrive, Dropbox), joining and reformatting them so you can start analyzing without delay. A drag-and-drop dashboard builder enables the quick creation of shareable reports, while built-in integrations cover spreadsheets and business apps (Excel, Smartsheet, QuickBooks, Airtable, among others). Querri offers white-label capabilities so you can embed or brand the analytics engine within your own product.
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CSViewer
CSViewer is a fast and free Windows desktop application for viewing and analyzing large delimited text and binary data files, such as CSV, TSV, Parquet, and QVD. It can load millions of rows in seconds and offers advanced filtering, instant profiling with aggregates, null counts, and outlier detection. Users can export filtered data, save analysis views, and visualize data through charts and cross-tables. CSViewer is designed for easy exploratory analysis without sending data to the cloud. Aggregates and charts are updated immediately when a filter is applied or changed. Null counts, uniques, min/max values, aggregates, etc. for every column. Export the filtered subset of rows into another file for sharing or use in another application. Convert data from one file format to another, e.g. from CSV to QVD. When you export into the native for CSViewer .dset file format, data is saved together with filters and charts for your convenience.
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Sliq
Sliq is an AI-powered data cleaning platform that transforms messy raw datasets into clean, analysis-ready data in minutes by automatically detecting and fixing common quality issues such as incorrect formats, missing values, schema inconsistencies, and formatting errors, so analysts and engineers spend less time on “janitor work” and more time on insights and modeling. It uses context-aware intelligence to understand the semantic domain of uploaded data (for example, whether it’s financial records, ecommerce logs, or medical data) and tailors a cleaning plan specifically for that dataset instead of applying one-size-fits-all rules. Users can upload files directly or integrate with workflows programmatically, and Sliq supports common data formats, including CSV, JSON, and Parquet, while seamlessly integrating into existing data ecosystems.
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