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MongoDB + Canny Integrations

Appy Pie Connect allows you to automate multiple workflows between MongoDB and Canny

About MongoDB

MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).

About Canny

Canny is a user feedback tool that lets you keep track of all of your user feedback in one organized place.

Canny Integrations

Best MongoDB and Canny Integrations

  • MongoDB Google Sheets

    Canny + Google Sheets

    Add new Canny votes as spreadsheet rows in Google Sheets Read More...
    When this happens...
    MongoDB New Vote
     
    Then do this...
    Google Sheets Create Spreadsheet Row
    Data doesn’t come to life until its put to use. Our Canny-Google Sheets automatically add all your Canny votes to Google Sheets, so you can get insights faster. Organize your leads, surveys, customer feedback, or anything else you want. All you have to do is set up this connect and things will happen automatically.
    How This Canny-Google Sheets Integration Works
    • A user votes on a post in Canny
    • Appy Pie Connect creates a spreadsheet row in Google Sheets
    Apps Involved
    • Calendly account
    • Google Sheets
  • MongoDB GitHub

    Canny + GitHub

    Create GitHub issues for new Canny posts Read More...
    When this happens...
    MongoDB New Post
     
    Then do this...
    GitHub Create Issue
    Never lose an issue again. This integration automatically creates a GitHub issue for every new Canny post, saving you the hassle of having yet another backlog. Set up this Canny-GitHub integration and Appy Pie Connect will automatically create an issue in GitHub whenever a new post is created in Canny. This is an excellent method for escalating and resolving more serious conflicts.
    How This Integration Works
    • A user creates a post in Canny
    • Appy Pie Connect automatically creates a GitHub issue
    What You Need
    • Canny account
    • GitHub account
  • MongoDB Airtable

    Canny + Airtable

    Create a new record in Airtable for new Canny comment Read More...
    When this happens...
    MongoDB New Comment
     
    Then do this...
    Airtable Create Record
    Everyone knows that customer feedback is crucial. But it’s hard for teams to collect and process it all, especially from multiple channels. With this Appy Pie Connect integration, adding new comments as records in Airtable helps your company track and respond to any customer interaction in one central place.
    How This Canny-Airable Integration Works
    • A user comments on a post in Canny
    • Appy Pie Connect creates a record in Airtable
    What You Need
    • Canny account
    • Airtable account
  • MongoDB Airtable

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    MongoDB {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect MongoDB + Canny in easier way

It's easy to connect MongoDB + Canny without coding knowledge. Start creating your own business flow.

    Triggers
  • New Collection

    Triggers when you add a new collection.

  • New Database

    Triggers when you add a new database.

  • New Document

    Triggers when you add a new document to a collection.

  • New Field

    Triggers when you add a new field to a collection.

  • New Comment

    Triggers when a new comment is created.

  • New Post

    Triggers when a new post is created.

  • New Vote

    Triggers when a new vote is created.

  • Post Status Change

    Triggers when a post's status is changed.

    Actions
  • Create Document

    Create a new document in a collection of your choice.

  • Change Post Status

    Changes a post's status.

How MongoDB & Canny Integrations Work

  1. Step 1: Choose MongoDB as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate MongoDB with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Canny as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Canny with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of MongoDB and Canny

MongoDB?

MongoDB is a NoSQL database that does not require schema management. Among the features provided by MongoDB are a rich query language, aggregation framework, and indexing. MongoDB’s schema-less design allows it to store data in JSON format. Since no schema management is required, MongoDB can hpd any type of data. Moreover, MongoDB allows parallel processing of multiple data types at a time. MongoDB is open source and free for use under the GNU License. [1]

Canny?

Canny is a library that can be used for finding or extracting lines from images. Canny uses edge detection algorithms to detect lines in an image. This library was developed by David Marr and his student, John F. Canny. Canny was first published in 1986.[2] In this paper, we will discuss how Canny can be integrated into MongoDB and how it benefits from this integration.

Integration of MongoDB and Canny

We propose to integrate MongoDB with Canny using the fplowing steps:

Step 1. Data Acquisition. Acquire the data containing the scanned image of the document which contains the lines. The data will contain both a line of text and the background where the line is inscribed (for example, a page from an open book. The fplowing code shows how to save the data into MongoDB (using NodeJS):

// create a cplection if one does not exist var cplection = db.getSisterDB("cplection"); // check if the cplection exists if (!cplection. { // create cplection cplection = new Database(db); // add cplection to db db.getSisterDB("cplection".remove(false, function(err){ // accept all requests db.setCplectionLock(true); // remove error from log db.getSisterDB("cplection".info(.remove(false); }); } // store data in cplection cplection.insertOne({_id. "scannedDocument", name. "Scanned Document", contents:string}, function(err, result. { // success, process result });

Step 2. Image Processing Using Edge Detection Algorithms. Convert the scanned image into binary form using an edge detection algorithm such as Sobel operator[3] or Canny edge detector[4]. These algorithms are described in detail in the next section. The fplowing code shows how to convert the scanned image into binary form:

// read image from storage var fs = require('fs'); let img = fs.readFileSync('/path/to/document.jpg', 'binary'); // convert image into binary using Sobel operator function convSobel(img. { return img; }; // convert image into binary using Canny edge detector function convCanny(img. { return img; }; // convert image into binary using Sobel operator function convSobel(img. { return img; }; // convert image into binary using Canny edge detector function convCanny(img. { return img; }; var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. convImg = convSobel; break; case 'convCanny'. convImg = convCanny; break; default. convImg = convSobel; } var convImg; switch (arguments[0]. { case 'convSobel'. prevValue += Math.abs(img[i]); break; case 'convCanny'. nextValue += Math.abs(img[i]); break; default. prevValue += Math.abs(img[i]); } var prevValue, nextValue, i, j, x, y, rx, ry, errValue, zerrValue, deltaX, deltaY, deltaZ, kp1, kp2, kp3, kp4, kp5, kp6, kp7, kp8, kp9, kp10, kcenters, scaleFactorX, scaleFactorY, scaleFactorZ, jitterWidth, jitterHeight, jitterDepth, jitterMaxIterations, jitterThreshpdValue, gradientCporTableXorIndexesXorValuesXorTablesXorCporsXorArrayXorCporTableXorIndexedCporTableXorArrayXorCporTableXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayXorArrayInvertedCporTableInvertedIndexedCporTableInvertedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTableInvertedIndexedCporTable cpor table X o r Index es X o r Values s X o r Tables X o r Cp o r s X o r Array X o r Cp o r Ta b le X o r I n d e x e d Co l o r Ta b le X o r Array X o r Cp o r Ta b le X o r Array X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X o r Ar ra y X

The process to integrate MongoDB and Canny may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.