mara-pipelines | lightweight opinionated ETL framework , halfway | Data Migration library

 by   mara Python Version: 3.5.0 License: MIT

kandi X-RAY | mara-pipelines Summary

kandi X-RAY | mara-pipelines Summary

mara-pipelines is a Python library typically used in Migration, Data Migration, Nodejs, Docker, Kafka, Selenium applications. mara-pipelines has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install mara-pipelines' or download it from GitHub, PyPI.

This package contains a lightweight data transformation framework with a focus on transparency and complexity reduction. It has a number of baked-in assumptions/ principles:.
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    Quality
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            kandi-support Support

              mara-pipelines has a medium active ecosystem.
              It has 1998 star(s) with 103 fork(s). There are 57 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 18 open issues and 16 have been closed. On average issues are closed in 97 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of mara-pipelines is 3.5.0

            kandi-Quality Quality

              mara-pipelines has 0 bugs and 0 code smells.

            kandi-Security Security

              mara-pipelines has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mara-pipelines code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              mara-pipelines is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              mara-pipelines releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 2870 lines of code, 237 functions and 50 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mara-pipelines and discovered the below as its top functions. This is intended to give you an instant insight into mara-pipelines implemented functionality, and help decide if they suit your requirements.
            • Execute the query
            • Add a node to the pipeline
            • Replace an existing node
            • Returns the parents of this node
            • Add parallel tasks to the pipeline
            • Adds a command to this command
            • Returns a list of parallel commands
            • Redirect the output of the event queue
            • Logs a message
            • Collect system statistics
            • The period of system statistics collection
            • Send a message to the pipeline
            • Return a list of documentation items
            • Render node page
            • Log a message
            • Run the pipeline
            • Generate a timeline for a given path
            • Return a table of all pipeline children
            • Renders a run time chart
            • Return the total duration of the node
            • Select the last runs
            • Show the output of a run
            • Handle an event
            • Render a pipeline
            • Reset incremental processing
            • Display system stats
            • Run the interactive pipeline
            Get all kandi verified functions for this library.

            mara-pipelines Key Features

            No Key Features are available at this moment for mara-pipelines.

            mara-pipelines Examples and Code Snippets

            Mara Schema,Artifact generation
            Pythondot img1Lines of Code : 32dot img1License : Permissive (MIT)
            copy iconCopy
            data_set_sql_query(data_set=order_items_data_set, human_readable_columns=True, pre_computed_metrics=False,
                               star_schema=False, personal_data=False, high_cardinality_attributes=True)
            
            SELECT
                 order_item.order_item_id AS "Order it  

            Community Discussions

            QUESTION

            how do I programmatically find details of an installed package(pip show equivalent)?
            Asked 2021-Aug-11 at 09:10

            I know there is a command pip show for the purpose but I would like to know whether it is possible I can fetch details by doing import pip? When you run pip show it gives info like:

            ...

            ANSWER

            Answered 2021-Aug-11 at 09:05

            Playing with pip source code, I found the following solution which works for Python 3.8.1 and pip 21.0.1 .

            Source https://stackoverflow.com/questions/68738368

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install mara-pipelines

            To use the library directly, use pip:. For an example of an integration into a flask application, have a look at the mara example project 1 and mara example project 2. Due to the heavy use of forking, Mara Pipelines does not run natively on Windows. If you want to run it on Windows, then please use Docker or the Windows Subsystem for Linux.
            Documentation is currently work in progress. Please use the mara example project 1 and mara example project 2 as a reference for getting started.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install mara-pipelines

          • CLONE
          • HTTPS

            https://github.com/mara/mara-pipelines.git

          • CLI

            gh repo clone mara/mara-pipelines

          • sshUrl

            git@github.com:mara/mara-pipelines.git

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