JSON Crack
JSON Crack is an open source tool that transforms complex data formats, including JSON, YAML, CSV, XML, and TOML, into interactive, visually intuitive graphs, enhancing data comprehension and analysis. Users can input data directly, upload files, or provide URLs, and it automatically generates a visual tree graph. It supports data conversion between formats, such as JSON to CSV or XML to JSON, and includes features like JSON formatting, validation, and code generation for TypeScript interfaces, Golang structs, and JSON Schemas. Advanced tools are available for decoding JWTs, executing JQ queries, and performing JSON Path commands. Users can export visualizations as PNG, JPEG, or SVG files. All data processing occurs locally on the user's device, ensuring data privacy.
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Vizly
Vizly is an AI-powered data scientist that lets you chat with your data, visualize insights, and perform analysis. Create interactive data visualizations to understand your data. Chat with your data and uncover actionable insights. Perform complex analysis and generate predictive insights. Vizly is an AI-powered data scientist that lets you chat with your data, visualize insights, and perform analysis. Our users can simply upload their data and uncover insights immediately. Sign up to Vizly and immediately start asking questions and creating visualizations from your data. Vizly is built for organizations and can be used immediately at your company. For additional hosting, security, and data source options, register your interest in our enterprise offering. Vizly currently supports CSV, Excel, and JSON file formats, with more on the way. All users can send up to 10 messages a month for free. After reaching the limit, you can upgrade your plan on your profile page.
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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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