binjr is a time series browser; it renders time series data produced by other applications as dynamically editable representations and provides advanced features to navigate the data smoothly and efficiently (drag & drop, zoom, history, detachable tabs, advanced time-range picker).
It is a standalone client application, that runs independently of the applications that produce the data; there are no server or server-side components dedicated to binjr that need to be installed on the source.
The user experience in binjr revolves around enabling users to compose a custom view by using any of the time-series exposed by the source, simply by dragging and dropping them on the view. That view then constantly evolves as users add or remove series from different sources, while navigating through it by changing the time range, the type of chart visualization and smaller aspects such as the color or transparency for each series. Users can navigate the change history for these views, using “back” and “forward” like in a web browser, and save the current state of their session at any time to a file, in order to reopen it later or to share it with someone else.
binjr also possesses the ability to visualize time series not only as charts of numeric values, but can be customized to support visualization for any data type; for instance it features out-of-the-box a source adapter for text based log files.
Log files, produced by applications to trace their lifecycle at runtime, typically contain timestamps for each event they contain; so we can think of them as time series, but with data points being textual information instead of numerical values. In practical terms, this means that a lot of the features built into binjr to compose and navigate time series visualizations can be applied to log files with great benefits.
Behind the scene, binjr uses Apache Lucene to index data from log files; meaning users can use its powerful query language to hack through vast quantities logged events. It also allows binjr to open log files of any size; unlike most text editors which will fail to load multi gigabytes-sized files as they try to fit it all in memory, binjr will happily index those and present a paginated view so that memory usage remains reasonable, while the backing index ensures that searches are fast and navigation snappy.
This is free and open source software.
Website: github.com/binjr/binjr
Support:
Developer: binjr
License: Apache License 2.0
binjr is written in Java. Learn Java with our recommended free books and free tutorials.
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