ekg | Remote monitoring of running processes over HTTP | Monitoring library

 by   tibbe JavaScript Version: Current License: Non-SPDX

kandi X-RAY | ekg Summary

kandi X-RAY | ekg Summary

ekg is a JavaScript library typically used in Performance Management, Monitoring, Nodejs applications. ekg has no bugs, it has no vulnerabilities and it has low support. However ekg has a Non-SPDX License. You can download it from GitHub.

This library lets you remotely monitor a running process over HTTP. It provides a simple way to integrate a monitoring server into any application.
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            kandi-support Support

              ekg has a low active ecosystem.
              It has 247 star(s) with 48 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 16 open issues and 28 have been closed. On average issues are closed in 78 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ekg is current.

            kandi-Quality Quality

              ekg has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ekg has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              ekg releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ekg and discovered the below as its top functions. This is intended to give you an instant insight into ekg implemented functionality, and help decide if they suit your requirements.
            • Plotting the plot area
            • Set tick logic
            • Draws the series lines .
            • Process raw data from series
            • Draw the grid .
            • Draws the line area of a point .
            • Handle the response
            • Draw a bar .
            • add metric metrics table
            • Live event handler
            Get all kandi verified functions for this library.

            ekg Key Features

            No Key Features are available at this moment for ekg.

            ekg Examples and Code Snippets

            No Code Snippets are available at this moment for ekg.

            Community Discussions

            QUESTION

            Error: Invalid hook call. Hooks can only be called inside of the body of a function component. by Routing in react
            Asked 2022-Jan-06 at 09:53

            I am a beginner with React and trying to do some Routing.

            I'm trying to implement Route in React to redirect to another page, but everytime i insert , it shows error: Invalid hook call.

            Here's the code from App.js

            ...

            ANSWER

            Answered 2022-Jan-05 at 14:25

            You need to use Route inside Routes try this

            Source https://stackoverflow.com/questions/70594419

            QUESTION

            Creating new column by mapping to dictionary (with string contain match)
            Asked 2021-Nov-06 at 07:45

            I am trying to create in df1 the column Factor based on the dictionary df2. However the Code columns for mapping are not exactly the same and the dictionary only contain the Code strings partially.

            ...

            ANSWER

            Answered 2021-Nov-06 at 07:45
            >>> df1['Code'].str[:5].map(df2.set_index('Code')['Factor'])
            0    1.0
            1    1.3
            2    1.3
            3    1.0
            4    1.3
            5    1.0
            6    0.9
            7    0.9
            Name: Code, dtype: float64
            
            >>> (df2.Code
                     .apply(lambda x:df1.Code.str.contains(x))
                     .T
                     .idxmax(axis=1)
                     .apply(lambda x:df2.Factor.iloc[x])
            )
            
            0    1.0
            1    1.3
            2    1.3
            3    1.0
            4    1.3
            5    1.0
            6    0.9
            7    0.9
            dtype: float64
            

            Source https://stackoverflow.com/questions/69850887

            QUESTION

            Real time ecg data in WinForms Chart c# problem
            Asked 2021-Oct-18 at 15:41

            I am trying to display real time ecg data output from a device to a Winforms chart.

            It's working pretty well, but I can't seem to remove the data points from the left hand side of the chart as new points are added, and the major grids shrink and grow.

            Here is the code in the timer:

            ...

            ANSWER

            Answered 2021-Oct-17 at 12:52

            Pay attention, time.AddSeconds(1 / 500); has no effect. I guess you insert every time the same time in the chart.

            Maybe your intent was

            time = time.AddSeconds(1d / 500);

            Note also the d. Because 1/500 is equal to 0.

            Source https://stackoverflow.com/questions/69602107

            QUESTION

            Pan Tompkins Lowpass filter overflow
            Asked 2021-Jun-24 at 04:54

            The Pan Tompkins algorithm1 for removing noise from an ECG/EKG is cited often. They use a low pass filter, followed by a high pass filter. The output of the high pass filter looks great. But (depending on starting conditions) the output of the low pass filter will continuously increase or decrease. Given enough time, your numbers will eventually get to a size that the programming language cannot handle and rollover. If I run this on an Arduino (which uses a variant of C), it rolls over on the order of 10 seconds. Not ideal. Is there a way to get rid of this bias? I've tried messing with initial conditions, but I'm fresh out of ideas. The advantage of this algorithm is that it's not very computationally intensive and will run comfortably on a modest microprocessor.

            1 Pan, Jiapu; Tompkins, Willis J. (March 1985). "A Real-Time QRS Detection Algorithm". IEEE Transactions on Biomedical Engineering. BME-32 (3): 230–236.

            Python code to illustrate problem. Uses numpy and matplotlib:

            ...

            ANSWER

            Answered 2021-Jun-24 at 04:54

            The trick seems to be the initial conditions. Load the first 13 values of input and output of low pass filter to zero and the bias goes away.

            Source https://stackoverflow.com/questions/68106772

            QUESTION

            Python: How do I add a While time loop code to a EEG CSV export for better clarity
            Asked 2021-Apr-04 at 03:00

            I am currently having trouble with my EEG data that I have from the Siena Scalp Database from physio. The EEG data that I have has around 30 channels and a text file that displays when a seizure occurred. I have written some code that exports the results into a excel file with the correct channel names, but I do not have a time record. [This is my code for exporting the EEG data to CSV][1]

            Code Exporting EEG Data ...

            ANSWER

            Answered 2021-Apr-04 at 01:09

            I assume that the edf files already have timestamps which can be read using the mne module. Therefore, I would propose to make use of it instead of generating new timestamps. The mne.io.Raw method to_data_frame converts the object to a pandas data frame and allows you to specify the time format.

            For example:

            Source https://stackoverflow.com/questions/66936348

            QUESTION

            Count duplicate key values pairs in nested dictionary and remove if that count is >= 10 in python
            Asked 2021-Feb-09 at 05:06

            I currently have a dictionary of dictionaries in Python. They may look something like this:

            ...

            ANSWER

            Answered 2021-Feb-09 at 04:50

            For counting things quickly, I would use the collections.Counter module.

            Source https://stackoverflow.com/questions/66113081

            QUESTION

            Count occurrences of key in nested dictionary with same value then delete if occurrence more than x with python
            Asked 2021-Feb-09 at 03:16

            I currently have a dictionary of dictionaries in Python. They may lo0ok something like this:

            ...

            ANSWER

            Answered 2021-Feb-09 at 03:15
            counter = sum(value["mentions"] == 5 for key, value in stocks.items())
            if counter > 10:
                stocks = {key: value for key, value in stocks.items() if value["mentions"] != 5}
            

            Source https://stackoverflow.com/questions/66112369

            QUESTION

            Parsing a .txt file and writing to excel in python
            Asked 2020-Dec-08 at 15:29

            I have a .txt file in the sample as below

            ...

            ANSWER

            Answered 2020-Dec-08 at 13:06

            QUESTION

            ekg-core/GHC RTS : bogus GC stats when running on Google Cloud Run
            Asked 2020-Jul-04 at 19:02

            I have two services deployed on Google cloud infrastructure; Service 1 runs on Compute Engine and Service 2 on Cloud Run and I'd like to log their memory usage via the ekg-core library (https://hackage.haskell.org/package/ekg-core-0.1.1.7/docs/System-Metrics.html).

            The logging bracket is similar to this :

            ...

            ANSWER

            Answered 2020-Jul-04 at 19:02

            Thinking a bit longer about this, this behaviour is perfectly reasonable in the "serverless" model; resources(both CPU and memory) are throttled down to 0 when the service is not processing requests [1], which is exactly what ekg picks up.

            Why logs are printed out even outside of requests is still a bit of a mystery, though ..

            [1] https://cloud.google.com/run/docs/reference/container-contract#lifecycle

            Source https://stackoverflow.com/questions/62730996

            QUESTION

            how to do section segmentation from clinical notes?
            Asked 2020-Jun-06 at 12:28

            I have several clinical notes corresponding to a single patient. Each note consists of several sections like, allergies, medications, past medical history, etc. All of them are unstructured, i.e., there is no particular order in which secions appear.

            This is the sample physician note:-

            ...

            ANSWER

            Answered 2020-Jun-06 at 12:28

            I did a rewrite.

            Adding the function check_section to check for start of a new section. If it is not another section, than lines can be added to the current section.

            Source https://stackoverflow.com/questions/62230607

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

            Vulnerabilities

            Certain contributed scripts for ekg Gadu Gadu client 1.5 and earlier create temporary files insecurely, with unknown impact and attack vectors, a different vulnerability than CVE-2005-1916.
            A certain contributed script for ekg Gadu Gadu client 1.5 and earlier allows attackers to execute shell commands via unknown attack vectors.
            linki.py in ekg 2005-06-05 and earlier allows local users to overwrite or create arbitrary files via a symlink attack on temporary files.
            Multiple integer signedness errors in libgadu, as used in ekg before 1.6rc2 and other packages, may allow remote attackers to cause a denial of service or execute arbitrary code.
            Memory leak in the image message functionality in ekg before 1:1.7~rc2-1etch1 on Debian GNU/Linux Etch allows remote attackers to cause a denial of service.
            ekg before 1:1.7~rc2-1etch1 on Debian GNU/Linux Etch allows remote attackers to cause a denial of service (NULL pointer dereference) via a vector related to the token OCR functionality.
            Memory leak in the token OCR functionality in ekg before 1:1.7~rc2-1etch1 on Debian GNU/Linux Etch allows remote attackers to cause a denial of service.

            Install ekg

            Adding monitoring to your application is simple. Just launch the monitoring server as soon as your application starts. and then visit http://localhost:8000/ in your web browser. To make full use out of this module you must first enable GC statistics collection in the run-time system. To enable GC statistics collection, either run your program with. or compile it with. The runtime overhead of -T is very small so it's safe to always leave it enabled.

            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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            https://github.com/tibbe/ekg.git

          • CLI

            gh repo clone tibbe/ekg

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            git@github.com:tibbe/ekg.git

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