jless vs JSON Crack

jless is a free command-line viewer for reading and exploring JSON and YAML on macOS and Linux. It formats JSON with indentation and syntax highlighting, and lets users open or close objects and arrays using vim-inspired commands. Search supports both full-text and regular-expression queries. jless reads files or standard input, including newline-delimited JSON; it can detect YAML from a file extension or read it with the --yaml flag. YAML comments and anchors are not shown. Users can copy values, keys, and paths to the system clipboard, or print them in the terminal, including a jq-style path for the focused node. It does not provide jq querying. Data mode gives a streamlined view, while line mode shows formatted JSON. Installation choices include Homebrew, MacPorts, Linux package managers, Cargo, downloadable binaries, and building from source with Rust. The project is MIT-licensed and available as a standalone binary. Its maker suggests it for exploring external APIs or debugging request payloads.

JSON Crack is a free online tool for turning JSON, YAML, CSV, and XML into graph or tree views. Users can supply data through an editor, a file upload, or a URL, then export visualizations as PNG, JPEG, or SVG. It also converts between formats, formats JSON, and validates JSON, YAML, and CSV. Developers can generate TypeScript interfaces, Go structs, Rust serde, and JSON Schema; schema utilities validate schemas, create mock data, and generate schemas from supported data formats. Other tools include JWT decoding, data randomization, jq execution, and JSONPath commands. A VS Code extension provides visualization in the editor, and embedding options include an iframe widget, postMessage API, and jsoncrack-react package. The maker says editor data is processed in the browser and not stored on its servers, while its privacy policy allows usage-data and cookie collection and possible Google Analytics use. The stated capacity is approximately 300 KB, varying with data complexity and hardware. Premium features have moved to ToDiagram.com; prior subscribers can use the same credentials there.