none yet (as of February 2015)
|Type||Indexer and cross-referencer|
|License||Apache License 2.0|
The core of Google Kythe is in defining language-agnostic protocols and data formats for representing, accessing and querying source code information as data. Kythe relies on an instrumented build system and compilers that produce indexing information, semantic information and metadata in Kythe specified format. This information obtained from running an instrumented build is stored in a language-agnostic graph structure. Finally, this graph structure can be queried to answer questions about the code base.
Google Kythe originates from an internal project called Grok.
Grok had been proposed by Steve Yegge in 2008. Yegge observed that software projects routinely use more than 3 programming languages, yet development tools tend to be language specific and don't handle multiple programming languages well. Adding a support for a language to an IDE is hard and the ad-hoc analysis tools in IDEs tend to be inferior to real parsers and compilers.
In 2012, C++, Java, Python, JS and "2 internal languages" were supported by Grok. There was a browser client with support for querying the database and visually navigating through the source code. There was an Emacs client.
Chromium Code Search Browser uses Grok index to provide quick links to definition for every symbol in the source code.
- "Google Open Source Blog: Kythe: a new approach to making developer tools". Google Open Source Blog.
- "Kythe - An Overview of Kythe". kythe.io.
- "Google Kythe Website". Google. Retrieved 23 February 2015.
- Steve Yegge. "Notes from the Mystery Machine Bus". plus.google.com.
- Bryan Summersett. "Bryan Summersett - Steve Yegge and Grok". bsumm.net.
- "Issue 1541: new static analyzer from Google - Jython tracker". jython.org.
- "Chromium Code Search".
- "Kythe - Exploring Kythe's Sample Web UI". kythe.io. Retrieved 30 April 2015.
- Facebook pfff
- Oracle Frappé
- Microsoft Language Server Protocol designed as part of Visual Studio Code, with implementations for several languages and integrated by several other development tools.
- Hawes, Nathan; Barham, Ben. "Using Clang to Visualize Large Codebases" (PDF). Retrieved 25 September 2015.