lzo-java | Pure Java implementation of the liblzo2 LZO compression

by shevek C Version: Current License: Non-SPDX

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kandi X-RAY | lzo-java Summary

lzo-java is a C library. lzo-java has no bugs, it has no vulnerabilities and it has low support. However lzo-java has a Non-SPDX License. You can download it from GitHub.

There is no version of LZO in pure Java. The obvious solution is to take the C source code, and feed it to the Java compiler, modifying the Java compiler as necessary to make it compile. This package is an implementation of that obvious solution, for which I can only apologise to the world. It turns out, however, that the compression performance on a single 2.4GHz laptop CPU is in excess of 500Mb/sec, and decompression runs at 815Mb/sec, which seems to be more than adequate. Run PerformanceTest on an appropriate file to reproduce these figures.

Support

Quality

Security

License

Reuse

Support

lzo-java has a low active ecosystem.

It has 53 star(s) with 23 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 6 have been closed. On average issues are closed in 131 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lzo-java is current.

Quality

lzo-java has 0 bugs and 0 code smells.

Security

lzo-java has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

lzo-java code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lzo-java has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

lzo-java releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

It has 3787 lines of code, 270 functions and 67 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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