Search Results for "json code"

flatcc has no external dependencies except for build and compiler tools, and the C runtime library. With concurrent Ninja builds, a small client project can build flatcc with libraries, generate schema code, link the project and execute a test case in a few seconds, produce binaries between 15K and 60K, read small buffers in 30ns, build FlatBuffers in about 600ns, and with a larger executable also handle optional json parsing or printing in less than 2 us for a 10 field mixed type message. The JSON parser may change the interface for parsing union vectors in a future release which requires code generation to match library versions. ...

...Use @link and @part for automatic interface implementation forwarding and delegation. Use the framework to gain direct, type-safe access to any type of resource, such as GraphQL, JSON, XML, YAML, CSV, and even other languages such as JavaScript. Remove the code gen step in your build process. Use types defined in .graphql files directly, no code gen steps! Make GraphQL changes and immediately use them with code completion.

KSP is Kotlin’s lightweight, idiomatic alternative to Java annotation processing that gives compile-time access to Kotlin program structure. Rather than forcing Kotlin through Java’s annotation APIs, it exposes Kotlin-first symbols—classes, functions, properties, types—so processors can generate code efficiently. The design dramatically reduces incremental build overhead by operating directly on symbols without compiling stubs, which speeds up large multi-module projects. Processors run as Gradle plugins, participate in incremental builds, and can target common use cases like DI bindings, JSON adapters, or UI glue code. Because the API reflects Kotlin semantics (nullability, visibility, type aliases, etc.), generated code aligns cleanly with Kotlin style and tooling.

...It fills a monitoring niche by being the glue between applications that do not export their own internal state (other than via logs) and existing monitoring systems, such that system operators do not need to patch those applications to instrument them or writing custom extraction code for every such application. The extraction is controlled by mtail programs which define patterns and actions. Metrics are exported for scraping by a collector as JSON or Prometheus format over HTTP, or can be periodically sent to a collectd, StatsD, or Graphite collector socket. Precompiled binaries for released versions are available in the Releases page on Github. ...

GnuCOBOL (formerly OpenCOBOL) is a free, modern COBOL compiler. GnuCOBOL implements a substantial part of the COBOL 85, X/Open COBOL and newer ISO COBOL standards (2002, 2014, 2023), as well as many extensions included in other COBOL compilers (IBM COBOL, MicroFocus COBOL, ACUCOBOL-GT and others). GnuCOBOL translates COBOL into C and internally compiles the translated code using a native C compiler. Build COBOL programs on various platforms, including GNU/Linux, Unix, Mac OS X, and...

The Simple components for Ada library provides implementations of smart pointers for automatically collected objects (using reference counting), object persistence, unbounded and bounded arrays of smart pointers, generic unbounded arrays of private objects and plain pointers, generic sets, maps, arbitrary precision arithmetic, B-trees, directed graphs, directed weighted graphs, stacks, and storage pools. It also includes table management, string editing, IEEE 754 support, and infix...

UniCC (UNIversal Compiler-Compiler) compiles an augmented grammar definition into a program source code that parses the described grammar. Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML.