Error Prone
JavaCPP
Error Prone | JavaCPP | |
---|---|---|
16 | 8 | |
6,724 | 4,380 | |
0.4% | 0.7% | |
9.4 | 6.8 | |
8 days ago | 29 days ago | |
Java | Java | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Error Prone
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Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
error-prone is good for some extra static analysis.
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How to use Java Records
A special kind of validation is enforcing that record fields are not null. (Un)fortunately, records do not have any special behavior regarding nullability. You can use tools like NullAway or Error Prone to prevent null in your code in general, or you can add checks to your records:
- Prusti: Static Analyzer for Rust
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Why is `suspend` a language keyword, but @Composable and @Serializable are annotations
I am all in favour to more third side libraries adding functionalities, like Lombok, Manifold and error prone. As well as smaller projects like this shameless plug and what appears in this list
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Picnic loves Error Prone: producing high-quality and consistent Java code
If only Google didn't suck when it came to Java9+ support... https://github.com/google/error-prone/issues/2649
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What does the future hold for Project Amber?
I haven't used it. I use Google's ErrorProne + Lombok to prevent NPEs in java.
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Plans for Compile-time Null Pointer Safety?
Take a look at NullAway, a plugin for Error Prone.
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What I miss in Java, the perspective of a Kotlin developer
For some of this stuff, there are compiler extensions that allow extra type checking to be added e.g. Google Error-Prone: https://github.com/google/error-prone with stuff like: https://errorprone.info/bugpattern/ReturnMissingNullable.
Doesn't help you with third party libraries, but across an org applying that rule (and others!) typically ensures some consistency.
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A guide on how to improve your coding skills with static code analysis.
How to build a static analysis plugin. Google has a framework for Java with a good tutorial.
- Error Prone 2.11.0 Released. Requires JDK11+
JavaCPP
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Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
JavaCPP and presets for working with JNI
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JDK 19 released
In the meantime you might want to check out JavaCPP: https://github.com/bytedeco/javacpp
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How can I use K/N with C++?
Maybe you can use JavaCPP?
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Does Java 18 finally have a better alternative to JNI?
Here is the code for JNI, which uses the prebuilt JavaCPP library to call the getpid function. We don't have to write all the manual C binding code and rituals as the JavaCPP library already does it.
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JEP 419: Foreign Function and Memory API
Javacpp is the best ffi library of all https://github.com/bytedeco/javacpp
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If it gets better w age, will java become compatible for machine learning and data science?
As for our approach, we maintain a library called javacpp: https://github.com/bytedeco/javacpp which proves a python wheel like experience where we distribute natively optimized c/c++ code (and even cuda accelerated code) as jar files on maven central. We also are able to develop with a python like experience by passing pointers around and other low level constructs directly allowing optimizations that you typically only get in c/c++.
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CXX - Safe interop between Rust and C++
https://github.com/bytedeco/javacpp
* it maps naturally and efficiently many common features afforded by the C++ language and often considered problematic, including overloaded operators, class and function templates, callbacks through function pointers, function objects (aka functors), virtual functions and member function pointers, nested struct definitions, variable length arguments, nested namespaces, large data structures containing arbitrary cycles, virtual and multiple inheritance, passing/returning by value/reference/string/vector, anonymous unions, bit fields, exceptions, destructors and shared or unique pointers (via either try-with-resources or garbage collection), and documentation comments*
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An article on how to use C++ for cross-platform development
I did not try myself, but for JNI maybe this could make lives easier? https://github.com/bytedeco/javacpp
What are some alternatives?
Spotbugs - SpotBugs is FindBugs' successor. A tool for static analysis to look for bugs in Java code.
JNA - Java Native Access
SonarQube - Continuous Inspection
SWIG - SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
PMD - An extensible multilanguage static code analyzer.
JNR - Java Abstracted Foreign Function Layer
Checkstyle - Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.
Cython - The most widely used Python to C compiler
FindBugs - The new home of the FindBugs project
cppimport - Import C++ files directly from Python!
infer - A static analyzer for Java, C, C++, and Objective-C
djinni