ChakraCore | ChakraCore is an open source Javascript engine with a C API | User Interface library

by chakra-core JavaScript Version: v1.11.24 License: MIT

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kandi X-RAY | ChakraCore Summary

ChakraCore is a JavaScript library typically used in User Interface, Raspberry Pi applications. ChakraCore has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

ChakraCore is a Javascript engine with a C API you can use to add support for Javascript to any C or C compatible project. It can be compiled for x64 processors on Linux macOS and Windows. And x86 and ARM for windows only. It is a future goal to support x86 and ARM processors on Linux and ARM on macOS.

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Quality

Security

License

Reuse

Support

ChakraCore has a medium active ecosystem.

It has 8895 star(s) with 1318 fork(s). There are 443 watchers for this library.

It had no major release in the last 12 months.

There are 547 open issues and 1606 have been closed. On average issues are closed in 355 days. There are 34 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ChakraCore is v1.11.24

Quality

ChakraCore has 0 bugs and 0 code smells.

Security

ChakraCore has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ChakraCore code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ChakraCore is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ChakraCore releases are available to install and integrate.

ChakraCore saves you 11172 person hours of effort in developing the same functionality from scratch.

It has 22630 lines of code, 104 functions and 2720 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed ChakraCore and discovered the below as its top functions. This is intended to give you an instant insight into ChakraCore implemented functionality, and help decide if they suit your requirements.

Adds the source code to the bp location
Initializes DateTimeIntervalTimeRange .
Initializes number formatting .
Initializes a new collation object .
Used to compare objects between two objects .
Compare two objects
Initialize language tags
Called when a breakpoint is received
Updates the pattern of the specified date .
Convert options to an Excel template format .

Get all kandi verified functions for this library.

ChakraCore Key Features

No Key Features are available at this moment for ChakraCore.

ChakraCore Examples and Code Snippets

No Code Snippets are available at this moment for ChakraCore.

Community Discussions

Trending Discussions on ChakraCore

Is LLVM IR a graph?

QUESTION

Is LLVM IR a graph?

Asked 2021-Sep-05 at 08:41

I'm starting new research in the field of compiler optimization. As a start, I'm looking into several different papers related and encountered a few different optimization techniques.

One main thing I'm currently looking at is the compilers' technique that converting input source code into a graph (e.g. control-flow, data-flow, linked list, etc.), then performs optimization onto the graph and produces the machine code. Code-to-Graph-to-Code. For example, JIT compilers in the JavaScript engines, i.e. V8, ChakraCore, etc.

Then, I came across LLVM IR. Because of the earlier searches, my impression of optimization on code is doing on a graph like explained above. However, I do not believe that is the case for LLVM, but I'm not sure. I found that there are tools to generate a control-flow graph from the LLVM IR, but it doesn't mean it's optimizing the graph.

So, my question is "Is LLVM IR a graph?" If not, how does it optimize the code? Code-to-Code directly?

...

ANSWER

Answered 2021-Sep-05 at 08:41

LLVM IR (and it's backend form, Machine IR) is a traditional three-address code IR so technically is not a graph IR in the sense e.g. sea-of-nodes IR is. But it contains several graph structures in it: a graph of basic blocks (Control Flow Graph) and a graph of data dependencies (SSA def-use chains) which are used to simplify optimizations. In addition, during instruction selection phase in backend original LLVM IR is temporarily converted to a true graph IR - SelectionDAG.

Source https://stackoverflow.com/questions/69061268

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