Search Results for "python data analysis"

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...

PyScaffold is a project generator for bootstrapping high-quality Python packages, ready to be shared on PyPI and installable via pip. It is easy to use and encourages the adoption of the best tools and practices of the Python ecosystem, helping you and your team to stay sane, happy and productive. The best part? It is stable and has been used by thousands of developers for over half a decade! Checkout out this demo project, which was set up using PyScaffold and if you are still not convinced...

Fast, insightful and highly customizable Git history analysis. Hercules is an amazingly fast and highly customizable Git repository analysis engine written in Go. Batteries are included. Powered by go-git. There are two command-line tools: hercules and labours. The first is a program written in Go that takes a Git repository and executes a Directed Acyclic Graph (DAG) of analysis tasks over the full commit history. The second is a Python script that shows some predefined plots over...

A .gitignore magician in your command line. Joe generates .gitignore files from the command line for you. After install, make sure to run joe u. This will download all .gitignore files in ~/joe-data/ folder. Download the latest binary from the Releases page. It's the easiest way to get started with joe. Make sure to add the location of the binary to your $PATH. You can also use joe to append to a global .gitignore. These can be helpful when you want to ignore files generated by an IDE, OS...

Gitinspector is a statistical analysis tool for git repositories. The default analysis shows general statistics per author, which can be complemented with a timeline analysis that shows the workload and activity of each author. Under normal operation, it filters the results to only show statistics about a number of given extensions and by default only includes source files in the statistical analysis. This tool was originally written to help fetch repository statistics from student projects...