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PyXLL VS QPR ProcessAnalyzer

Compare PyXLL VS QPR ProcessAnalyzer and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

PyXLL logo PyXLL

PyXLL is an Excel Add-In that enables developers to extend Excel’s capabilities with Python code.

QPR ProcessAnalyzer logo QPR ProcessAnalyzer

QPR ProcessAnalyzer extracts and reads the timestamps used to record specific events along procurement and/or supply chains.
  • PyXLL Landing page
    Landing page //
    2023-06-14
  • QPR ProcessAnalyzer Landing page
    Landing page //
    2023-07-23

PyXLL videos

+ Add

PyXLL Introduction

QPR ProcessAnalyzer videos

+ Add

Process Discovery with QPR ProcessAnalyzer

More videos:

  • Review - QPR ProcessAnalyzer in Brief
  • Review - QPR ProcessAnalyzer - Process KPIs

Category Popularity

0-100% (relative to PyXLL and QPR ProcessAnalyzer)

PyXLL

QPR ProcessAnalyzer

No Code
100 100%
No Code
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Project Management
100 100%
Project Management
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100

User comments

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What are some alternatives?

When comparing PyXLL and QPR ProcessAnalyzer, you can also consider the following products

xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa

Celonis - Celonis offers process mining tool for analyzing & visualizing business processes.

PySpark - PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor

Signavio Process Intelligence - Signavio Process Intelligence takes your data and turns it into actionable insights for your organization. Learn more with a free, personalized demo!

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Software AG webMethods - Software AG’s webMethods enables you to quickly integrate systems, partners, data, devices and SaaS applications

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