PerfSheet.js is a tool aimed at DBAs and Oracle performance analysts. It provides a simplified interface to extract and visualize AWR time series data in the browser using javascript.

The reason for a tool like PerfSheet.js is to make the analysis of AWR data easier by providing a graphical interactive interface and by automating several repetitive steps of data extraction and chart preparation. Pivot charts provide a flexible and easy to use way to navigate around the many metrics and dimensions of AWR data. PerfSheet4 is a tool that I have been using for a few years for AWR data analysis (following previous original work by Tanel Poder).
PerfSheet.js spins off from the work on PerfSheet4. While PerfSheet4 runs in MS Excel. PerfSheet.js is written in JavaScript and runs in the browser. This provides extra flexibility and compatibility across platforms.
The main components of PerfSheet.js are:

• Visualization with interactive pivot charts. This is implemented using  PivotTable.js by Nicolas Kruchten.
• Additional customization provide pre-configured starter charts and a basic interface to load data from CSV files.
• A set of SQL scripts to extract performance metrics of interest from Oracle AWR tables into CSV files.
• A few example data files come with the tool, to help first-time users.

You can download PerfSheet.js from Github or from this webpage.

Here is a screenshot of PerfSheet.js:

Here is an introductory video:

References and acknowledgements

PerfSheet.js is based on PivotTable.js by Nicolas Kruchten. Additional dependencies include: C3.js, D3.js, jQuery, jQueryUI, PapaParse. PerfSheet.js is based on previous work on PerfSheet4 which in turn is based on original work by Tanel Poder.