Search Results for "software metrics"

DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code. Version control machine learning models, data sets and intermediate files. 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. Version control machine learning models, data sets,...

GitHub Rater is a web application that analyzes a GitHub user’s public profile and computes a composite “rating” or score based on various activity indicators fetched from the GitHub API. It’s designed to help developers assess and improve the quality and completeness of their GitHub presence by highlighting strengths and weaknesses such as follower count, repository descriptions, star counts, and bio information. Users can search for any public GitHub user and receive a breakdown of scores...

git-sizer computes various size metrics for a local Git repository, flagging those that might cause you problems or inconvenience. Is the repository too big overall? Ideally, Git repositories should be under 1 GiB, and (without special handling) they start to get unwieldy over 5 GiB. Big repositories take a long time to clone and repack, and take a lot of disk space. Avoid storing generated files (e.g., compiler output, JAR files) in Git. It would be better to regenerate them when necessary,...

Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible...

Seamless time tracking for all your Git projects. GTM is automatic, seamless and lightweight. There is no need to remember to start and stop timers. It runs on occasion to capture activity triggered by your editor. The time metrics are stored locally with the git repository as Git notes and can be pushed to the remote repository. Simply install a plugin for your favorite editor and the GTM command line utility to start tracking your time now. When you are ready, commit your work like you...

StatSVN is a metrics-analysis tool for charting software evolution through analysis of Subversion source repositories.