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Omniscope Custom Blocks · Refresh indexRefresh readme

Public repository for custom blocks for Omniscope Evo.

How to add a block to this repository

The simple way

  1. Design your custom block in Omniscope Evo 2020.1 or later. The source code should be reasonably documented and potentially contain sections to describe input fields and parameters.
  2. Export as a ZIP file from the block dialog.
  3. Send the file to support@visokio.com and we will include it for you.

The hard way

  1. Follow points 1-2 from the simple way.
  2. Fork the repository.
  3. Create or use a directory in the forked repository under one of the main sections that specifies the general area of what the block does.
  4. Extract the ZIP file into this directory.
  5. Consider adding a README.md for convenience, and a thumbnail.png.
  6. Run the python scripts create_index.py and create_readme.py located in the root of the repository.
  7. Create a pull request.

Table of blocks (Omniscope 2020+)

  1. Analytics
    1. Clustering
      1. Gaussian Mixture Model
      2. DBScan
      3. KMeans
    2. Network Analysis
      1. Attribute Analysis
      2. Relationship Analysis
    3. Prediction
      1. K-Nearest-Neighbours
      2. Support Vector Machine
    4. Website Analysis
  2. Preparation
    1. ForEach
      1. ForEach
      2. ForEach multi stage
    2. Geo
      1. Shapefile
      2. Gridsquare
    3. JSON
      1. JSON Normalise
    4. Join
      1. Inequality Join
      2. Fuzzy Join
      3. Interval Join
    5. Standardisation
      1. Standardise
    6. Split Address
    7. Field Renamer
  3. Custom
    1. Execute Command
  4. Connectors
    1. Databases
      1. MongoDB
    2. Flightstats
      1. Flightstats Airlines
      2. Flightstats Airports
      3. Flightstats Flights
    3. Overpass
      1. Overpass Street Coordinates
    4. Weather
      1. OpenWeatherMap
    5. Azure Data Lake Storage Gen2 Blob
    6. Google BigQuery Import Table
    7. Google BigQuery Custom SQL
    8. Slack API WebClient
    9. Etherscan
  5. Inputs
    1. R Data Reader
    2. Rds Batch Append
    3. SFTP Downloader
    4. Sharepoint Online Downloader
    5. PDF Reader
  6. Outputs
    1. Append PDF files
    2. Google BigQuery Export
    3. Report tab to PDF
    4. GitHub
    5. Slack Bot
    6. Multi-tenant Report to PDF
    7. Web Image-PDF output

Block Overview

Gaussian Mixture Model

Performs GMM clustering on the first input data provided. The output consists of the original input with a Cluster field appended. If a second input is available, it will be used as output instead.

Link to Github page

DBScan

Performs DBScan clustering on the first input data provided. The output consists of the original input with a Cluster field appended. If a second input is available, it will be used as output instead.

Link to Github page

KMeans

Performs KMeans clustering on the first input data provided. The output consists of the original input with a Cluster field appended. If a second input is available, it will be used as output instead.

Link to Github page

Attribute Analysis

Given a dataset in which each record represents an edge between two nodes of a network, and each node has an associated categorical attribute, the block analyses connections between attributes, based on connections between associated nodes. The result of the analysis is a list of records in which each record specifies a connection from one attribute to another. The connection contains a probability field, which gives an answer to the question that if a node has the specified categorical attribute, how probable it is that it has a connection to another node with the linked categorical attribute.

Link to Github page

Relationship Analysis

Given a dataset in which each record represents an edge between two nodes of a network, the block will project all the nodes onto a (e.g. 2)- dimensional plane in such a way that nodes which share many connections are close together, and nodes that do not share many connections are far apart.

Link to Github page

K-Nearest-Neighbours

Performs k-nearest-neighbour prediction on the data. The prediction for a new point depends on the k-nearest-neighbours around the point. The majority class is used as the prediction.

Link to Github page

Support Vector Machine

Predicts classes of new data from old data by drawing a boundary between two classes whereas the margin around the bondary is made as large as possible to avoid touching the points.

Link to Github page

Website Analysis

Extracts the structure and content of a website and its pages.

Link to Github page

ForEach

Executes another Omniscope project multiple times, each time with a different set of parameter values.

Link to Github page

ForEach multi stage

The ForEach multi stage block allows to orchestrate the execution of another Omniscope project and running the workflow multiple times, each time with a different set of parameter values. Unlike the ForEach block allows multiple stages of execution, executing/refreshing from source a different set of blocks in each stage.

Link to Github page

Shapefile

Match regions in shapefile with geographical points having latitude and longitude

Link to Github page

Gridsquare

Converts gridsquare / Maidenhead

Link to Github page

JSON Normalise

Normalise semi-structured JSON strings into a flat table, appending data record by record.

Link to Github page

Inequality Join

Performs a join between the first (left) and second (right) input. The join can be performed using equality/inequality comparators ==, <=, >=, <, > , which means the result will be a constraint cartesian join including all records that match the inequalities.

Link to Github page

Fuzzy Join

Performs a join between the first (left) and second (right) input. The field on which the join is performed must be text containing multiple terms. The result will contain joined records based on how many terms they share, weighted by inverse document frequency.

Link to Github page

Interval Join

Performs a join between values in the first input and intervals in the second input. Rows are joined if the value is contained in an interval.

Link to Github page

Standardise

Standardises fields into the range [0..1]

Link to Github page

Split Address

Splits an address field into streetname, streetnumber, and suffix.

Link to Github page

Field Renamer

Renames the fields of a data set given a list of current names and new names.

Link to Github page

Execute Command

Execute a system command.

Link to Github page

MongoDB

A connector for MongoDB

Link to Github page

Flightstats Airlines

Downloads a list of airlines as provided by flightstats (https://www.flightstats.com). The script needs your flightstats app id and key which needs to be obtained either through buying their service or signing up for a test account.

Link to Github page

Flightstats Airports

Downloads a list of airports as provided by flightstats (https://www.flightstats.com). The script needs your flightstats app id and key which needs to be obtained either through buying their service or signing up for a test account.

Link to Github page

Flightstats Flights

Requests information about flights specified in the input data from flightstats (https://www.flightstats.com). If the flight exists the result will contain live information, otherwise it will not be part of it. The script needs your flightstats app id and key which needs to be obtained either through buying their service or signing up for a test account.

Link to Github page

Overpass Street Coordinates

Finds all matching streets given a street name and requests multiple coordinates along the street using data from Overpass API. It will create a row for each point found that is part of a street that matches the given street name. The resulting rows will include the street name, the street Id and the coordinates of the point. The script needs an input with a field with the street name.

Link to Github page

OpenWeatherMap

Retrieves current weather and forecasts from OpenWeatherMap

Link to Github page

Azure Data Lake Storage Gen2 Blob

Storage Gen2 Blob connector to load a CSV or Parquet blob/file in Omniscope.

Link to Github page

Google BigQuery Import Table

Allows to import a table from Google BigQuery.

Link to Github page

Google BigQuery Custom SQL

Executes a SQL query on Google BigQuery and imports the query results

Link to Github page

Slack API WebClient

Allows you to call public Slack endpoints.

Link to Github page

Etherscan

The Ethereum Blockchain Explorer.

Link to Github page

R Data Reader

Joins regions defined in a shapefile with points defined as latitudes and longitudes, and gives meta information about the content of the shapefile

Link to Github page

Rds Batch Append

Reads multiple rds files either from an upstream block, or a folder, and appends them

Link to Github page

SFTP Downloader

Download files from a SFTP server folder.

Link to Github page

Sharepoint Online Downloader

Download a file from a Sharepoint Online site.

Link to Github page

PDF Reader

Extract text from PDF files.

Link to Github page

Append PDF files

Append multiple PDF files combining them into one PDF file.

Link to Github page

Google BigQuery Export

Allows to write data to a Google BigQuery table. The table can be created/replaced, or records can be appended to an existing table

Link to Github page

Report tab to PDF

Prints Report tabs to PDF files for each record of the input data.

Link to Github page

GitHub

Reads from and writes data to GitHub

Link to Github page

Slack Bot

Posts messages on a channel.

Link to Github page

Multi-tenant Report to PDF

Prints a Report tab in batch using multi-tenant scenario configuration.

Link to Github page

Web Image-PDF output

Grabs screenshots of webpages, optionally producing a PDF document.

Link to Github page

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Public repository for custom blocks for Omniscope 2019+

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