Showing 6 open source projects for "python data analysis"

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  • 1
    DVC

    DVC

    Data Version Control | Git for Data & Models

    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,...
    Downloads: 1 This Week
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  • 2
    PyScaffold

    PyScaffold

    Python project template generator with batteries included

    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...
    Downloads: 0 This Week
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  • 3
    Albedo

    Albedo

    A recommender system for discovering GitHub repos

    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...
    Downloads: 0 This Week
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  • 4
    Hercules

    Hercules

    Gaining advanced insights from Git repository history

    ...The second is a Python script that shows some predefined plots over the collected data. These two tools are normally used together through a pipe. It is possible to write custom analyses using the plugin system. It is also possible to merge several analysis results together - relevant for organizations. The analyzed commit history includes branches, merges, etc.
    Downloads: 0 This Week
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  • World class QA, 100% done-for-you Icon
    World class QA, 100% done-for-you

    For engineering teams in search of a solution to design, manage and maintain E2E tests for their apps

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  • 5
    joe

    joe

    A .gitignore magician in your command line

    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,...
    Downloads: 1 This Week
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  • 6
    Gitinspector

    Gitinspector

    The statistical analysis tool for git repositories

    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...
    Downloads: 3 This Week
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