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LF AI Sparklyr Project Scan and Findings
Jeff Shapiro <jshapiro@...>
I'm taking over the licesne scanning responsibilities from Steve Winslow.
Here are the results from the most recent license scan of the Sparklyr project. The scan was performed on the codebase at: https://github.com/sparklyr/sparklyr based on a snapshot from Jan 27, using the Linux Foundation Fossology server. Licenses and copyrights were examined.
The key findings (if any) and license summary can be found in the HTML report, the list of files in the spreadsheet, and also find the SPDX file listed below:
lfai/sparklyr, code pulled 2022-01-27
- report: https://lfscanning.org/reports/lfai/sparklyr-2022-01-27-7b45cf8d-bea8-41fb-8a59-256d10a731d4.html
- xlsx: https://lfscanning.org/reports/lfai/sparklyr-2022-01-27-7b45cf8d-bea8-41fb-8a59-256d10a731d4.xlsx
- spdx: https://github.com/lfscanning/spdx-lfai/tree/master/sparklyr/2022-01/sparklyr-2022-01-27.spdx
NOTE: For any key findings listed, they may be new or they may be carried over from the last scan that Steve did last September.
Please feel free to contact me with any questions about the scan results. Be sure to reply to me directly as I may not get an email sent directly to the distribution list.
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