Search Results for "code metric"
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Showing 22 open source projects for "code metric"
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MetricFlow
MetricFlow allows you to define, build, and maintain metrics in code
MetricFlow is an open-source semantic layer engine designed to help organizations define, manage, and query business metrics in a consistent, governed way. It works alongside a data stack—typically built with dbt—and allows you to express metrics as YAML‐based definitions tied to semantic models and dimension tables, rather than embedding logic ad-hoc across many dashboards or scripts. When a user or tool requests a metric (e.g., “monthly revenue by region”), MetricFlow generates optimized,... -
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Metrics
Capturing JVM and application-level metrics
...The central library for Metrics is metrics-core, which provides some basic functionality. The starting point for Metrics is the MetricRegistry class, which is a collection of all the metrics for your application (or a subset of your application). Each metric is associated with a MetricRegistry, and has a unique name within that registry. A gauge is the simplest metric type. It just returns a value. If, for example, your application has a value which is maintained by a third-party library, you can easily expose it by registering a Gauge instance which returns that value. -
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DVC
Data Version Control | Git for Data & Models
...DVC connects them with code and uses Amazon S3, Microsoft Azure Blob Storage, Google Drive, Google Cloud Storage, Aliyun OSS, SSH/SFTP, HDFS, HTTP, network-attached storage, or disc to store file contents. Harness the full power of Git branches to try different ideas instead of sloppy file suffixes and comments in code. Use automatic metric tracking to navigate instead of paper and pencil. -
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Tunix
A JAX-native LLM Post-Training Library
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation,... -
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Micrometer
App observability facade for the most popular observability tools
Micrometer provides a simple facade over the instrumentation clients for the most popular observability systems, allowing you to instrument your JVM-based application code without vendor lock-in. Think SLF4J, but for observability. Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric with the ability to drill down across its dimensions. ... -
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AWS IoT Device Defender Library
Client library for using AWS IoT Defender service on embedded devices
...This library also supports custom metrics, a feature that helps you monitor operational health metrics that are unique to your fleet or use case. For example, you can define a new metric to monitor the memory usage or CPU usage on your devices. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT client library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. ... -
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phantomas
Headless Chromium-based web performance metrics collector
Headless Chromium-based modular web performance metrics collector. Modular approach, each metric is generated by a separate "module". phantomas "core" acts as an events emitter that each module can hook into. In-depth metrics such as: number of events bound via jQuery, calls to window.writeor complex and duplicated CSS selectors (via analyze-css). JSON as an output format. Easy integration with other nodejs projects via CommonJS module (see API docs). -
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Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
Implementation of 'lightweight' GAN proposed in ICLR 2021, in Pytorch. The main contribution of the paper is a skip-layer excitation in the generator, paired with autoencoding self-supervised learning in the discriminator. Quoting the one-line summary "converge on single gpu with few hours' training, on 1024 resolution sub-hundred images". Augmentation is essential for Lightweight GAN to work effectively in a low data setting. You can test and see how your images will be augmented before... -
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SLOC
simple tool to count SLOC (source lines of code)
sloc is a simple, fast tool for counting lines of code that’s designed to be used from both the command line and Node.js scripts. It tallies physical lines, source lines, comment lines, and blank lines, giving you a quick snapshot of code size across files or entire directories. The utility is language-aware through lightweight detectors and patterns, so it can ignore comments correctly and avoid counting generated or minified files if you configure it to. -
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prometheus-net
.NET library to instrument your code with Prometheus metrics
This is a .NET library for instrumenting your applications and exporting metrics to Prometheus. -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models... -
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Metrix++
Management of source code quality is possible.
The project has been moved to https://github.com/metrixplusplus/metrixplusplus ______________________ Metrix++ is an extendable tool to collect and analyse code metrics. - Multiple languages supported - Multiple metrics available - Configurable. Every metric has got 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules. You can choose and configure any limit you want. - High-performance. Processes thousands of files per minutes. - Seamless application to legacy code due to embedded capability to differentiate new code, modified and legacy. -
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Napa.js
Napa.js, a multi-threaded JavaScript runtime
Napa.js is a multi-threaded JavaScript runtime built on V8, which was originally designed to develop highly iterative services with non-compromised performance in Bing. As it evolves, we find it useful to complement Node.js in CPU-bound tasks, with the capability of executing JavaScript in multiple V8 isolates and communicating between them. Napa.js is exposed as a Node.js module, while it can also be embedded in a host process without Node.js dependency. Multi-threaded JavaScript runtime.... -
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CCKDM
Concern Mining
This is a tool for concern mining which uses a KDM model as input and the output is the same model with annotated concerns. It uses a Concern Library and a modified String Clustering K-means algorithm with Levenshtein metric to cluster the strings. -
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C/C++ Program Perfometer
The program enables to get performance of C/C++ program for any metric
The program enables to get performance of C/C++ program and separated pieces of code for any metrics (for instance : time, memory, metrics defined by user etc.). The measurement results are represented in detailed/summary reports. Latest Version: 2.10 -
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ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
...This source code is provided without warranty and is available under the GPL license. More commercially-friendly licenses may be available. Please contact Stephen O'Hara for license options. Please view the wiki on this site for installation instructions and examples on reproducing the results of the papers. -
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...The Minimal Access Modifier of a Java type or type member is the most restrictive access modifier that is able to allow all actual usages of the particular type or member from inside a given code base (normally the entire source code of the respective Java project). The metric Inappropriate Generosity with Accessibility of Types (IGAT) indicates the proportion of those types which actual access modifier is more generous than the minimal one relative to the total number of types in a given source code subset. Analog the metric Inappropriate Generosity with Accessibility of Method (IGAM) indicates the proportion of those methods which actual access modifier is more generous than the minimal one relative to the total number of me
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MSR Tools is a source code evolution analysis tool. It consists of a framework for mining software repositories and tools for metric calculation, visualization, defect prediction.
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A plug in for Eclipse that calculates metrics for your code during build cycles and warns you, via the Problems View, of 'range violations' for each metric. You may also export the metrics to various formats for further analysis.
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Java Source Metric is designed to metric Java source code with quality metrics like Inheritance Depth, Line of Code, McCabe Complexity Metric suite and so on.
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Kaylo is an easy-to use application that serves as a metric for code styling and documentation. It generates an estimate of the lines of code in your source files, categorised as Code, Whitespace and Documentation.
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This project is an Jakarta Ant add on task that allows the JavaNCSS code metric class to be called as part of the Ant build process. The task allows the specification of threshold values and can flag instances of metrics that exceed these thresholds.
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