Search Results for "big data visualization"

JSON Crack is a free, open-source data visualization app capable of visualizing data formats such as JSON, YAML, XML, CSV and more, into interactive graphs. With its intuitive and user-friendly interface, JSON Crack makes it easy to explore, analyze, and understand even the most complex data structures. Whether you're a developer working on a large-scale project or a data enthusiast looking to uncover hidden insights, JSON Crack has the tools and features you need to unlock the full potential of your data.

A Vue component for rendering JSON data as a tree structure. The CSS file is included separately and needs to be imported manually. You can either import CSS globally in your app (if supported by your framework) or directly from the component.

JSON Editor is a web-based JSON editing and visualization tool designed for viewing, editing, formatting, validating, and transforming JSON documents in multiple interactive modes. The project provides several editing interfaces including tree view, code editor, form-based editing, and plain text modes, allowing users to work with structured data in the format most suitable for their workflow.

...Extensible and customizable library with zero dependencies. Bootstrap add-ons provided. This library supports dynamic schemas, that is, subschemas that can change depending on the value of other parts of the data. This allows the creation of dynamic forms that vary their shape depending on the values entered by the user. This is extremely useful for big autogenerated schemas, that aggregate lots of subschemas and have functional bindings, given that it allows to show the user a simpler, non-error-prone form, also avoiding asking for unneeded data.

Our goal is to create the world's fastest extendable, non-transactional time series database for big data (you know, for kids)! Log file indexing is our initial focus. For example append only ASCII files produced by libraries like Log4J, or containing FIX messages or JSON objects. Occursions was built by a small team sick of creating hacks to remotely copy and/or grep through tons of large log files. We use it to index around a terabyte of new log data per day. ...