nflow | proven solution for orchestrating business processes | BPM library

 by   NitorCreations Java Version: 8.0.0 License: No License

kandi X-RAY | nflow Summary

kandi X-RAY | nflow Summary

nflow is a Java library typically used in Automation, BPM applications. nflow has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub, Maven.

nFlow is a battle-proven solution for orchestrating business processes. Depending on where you're coming from, you can view nFlow as any of the following:. nFlow has been under development since 2014-01-14 and version 1.0.0 was released on 2014-09-13.

            kandi-support Support

              nflow has a low active ecosystem.
              It has 148 star(s) with 34 fork(s). There are 47 watchers for this library.
              It had no major release in the last 12 months.
              There are 9 open issues and 47 have been closed. On average issues are closed in 109 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nflow is 8.0.0

            kandi-Quality Quality

              nflow has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              nflow does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              nflow releases are available to install and integrate.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              nflow saves you 12660 person hours of effort in developing the same functionality from scratch.
              It has 26954 lines of code, 2175 functions and 477 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nflow and discovered the below as its top functions. This is intended to give you an instant insight into nflow implemented functionality, and help decide if they suit your requirements.
            • Retrieve a stream of workflow instances .
            • Runs the implementation .
            • Retrieve state methods for a given definition .
            • Deletes all actions associated with the given workflow instance .
            • Create arguments for execution .
            • The JAXRs server bean .
            • Ensures that the source table and destination table has missing columns .
            • Start Netty .
            • Update a workflow instance
            • Convert a workflow definition to a StoredWorkDefinition .
            Get all kandi verified functions for this library.

            nflow Key Features

            No Key Features are available at this moment for nflow.

            nflow Examples and Code Snippets

            No Code Snippets are available at this moment for nflow.

            Community Discussions


            How to merge two dataframes with not identical columns like this way? Python
            Asked 2021-Oct-19 at 12:51

            I have two dataframes look like this (real are bigger):


            Alliances_names Value1 cgc inc/nshow ltd/noracle inc 500 steam/nsoap jv NaN saints bd 8 watrloo jv/ncgc inc/nflow inc 19


            Company Number1 Number2 steam 15 y soap jv 2000 n cgc inc 4565 n show ltd 1 n flow inc 1111 y watrloo jv 6756 n

            I have to merge these two dataframes with alliances and company columns. If it is company in alliance I have to add this information to the row. (There is /n delimiter between companies in DF1)
            The result should be like this:

            Alliances_names Value1 Company Number1 Number2 cgc inc/nshowltd/noracle inc 500 cgc inc 4565 n cgc inc/nshowltd/noracle inc 500 show ltd 1 n steam/nsoap jv NaN steam 15 y steam/nsoap jv NaN soap jv 2000 n saints bd 8 NaN NaN NaN watrloo jv/ncgc inc/nflow inc 19 watrloo jv 6756 n watrloo jv/ncgc inc/nflow inc 19 cgc inc 4565 n watrloo jv/ncgc inc/nflow inc 19 flow inc 1111 y

            I need to duplicate alliances name for every company in this. I tried to separate companies in "alliances name" and make another column with lists of companies in every cell, but "isin" didn't work good with it and I couldn't megre dataframes with duplicates. Thanks in advance for your help!



            Answered 2021-Oct-19 at 12:51
            1. Create a separate column (called "Company") with individual company names using split and explode.
            2. merge the two DataFrames on the "Company" column.



            VS Code debugging issue when reading data from a file in C
            Asked 2021-Apr-19 at 14:47

            I'm trying to debug my code in VS Code. When I "Run" the code (the button on the top right corner or Ctrl+Alt+N) it works perfectly. But when I try debug, the code goes to the flow==NULL option.

            Here is my reading function from code:



            Answered 2021-Apr-19 at 14:47

            There is one thing you can try: change the value of "cwd"(current working directory) in "launch.json" to the folder where you have your file to read. For example, if you have your file to read in the path "C:\Users\username\Documents\file.txt", just put the "cwd": "C:\Users\username\Documents", then compile and run it again.

            The "launch.json" file controls the arguments for your C++ debugger and you can find a full list of such arguments including "cwd" in the reference of VS code here. One possible reason why you cannot read the file is that your program cannot find the file because your file is not in the search path of your program.

            I had the same issue just now and tried to solve it by setting the current working directory although I'm not sure if that's the best way to do it. A better way is probably to run debugger with argument to add new directory to the search path(like what you can do in "task.json" using -I argument). I was not able to find an argument for gdb. But one thing is for sure: you have to let the program or debugger find the file in some way.



            GEKKO optimizer @error: Inequality Definition invalid inequalities: z > x < y
            Asked 2020-Jul-21 at 01:52

            I am trying to solve a MINLP using the Gekko package. A simple problem is shown below.

            the optimization problem

            I wrote the code below but it gives me this error

            @error: Inequality Definition invalid inequalities: z > x < y



            Answered 2020-Jul-21 at 01:52

            There are many issues with your current model. Here is a fix for your variable declaration and objective function that is easier to configure and read.


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


            No vulnerabilities reported

            Install nflow

            You can download it from GitHub, Maven.
            You can use nflow like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the nflow component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            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 .
            Find more information at:

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