AIMultiple ResearchAIMultiple Research

Discover RPA Software For Linux in 2024

Written by
Cem Dilmegani
Cem Dilmegani
Cem Dilmegani

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

View Full Profile

Most RPA bot development is going on in Windows machines since most corporate end users rely on Windows. However, Linux operating system has particular advantages over MacOS and Windows and RPA can add value to Linux systems as well.

Some of Linux’s advantages over Windows are

  • Linux is a open-source operating system
  • Linux is considered to be the most stable and resilient operating system and is trusted by enterprises for supporting their core systems
  • Linux as minimal hardware requirements and can run a wide range of systems including edge systems

Why use RPA in Linux?

Linux systems come with extensive scripting capabilities and Linux users tend to be technically savy. As a result, repetitive work on Linux systems tends to be automated. However, RPA can have benefits for Linux users as well:

  • RPA relies on user interfaces for automation which is an automation approach not widely followed by Linux scripting tools. Linux systems interfacing with legacy systems could benefit from RPA in facilitating integration.
  • Using automation tools that cover all available operating systems, companies can reuse their RPA bots across different operating systems and minimize their bot maintenance costs.

RPA tools for Linux

Below table is a list of RPA tools that are compatible with Linux:

Vendor NameCompany Size (# of employees)Is it open-source?PricingHighlights
Argos Labs11-50NoFree trial
Automagica1-10NoNot available
Automagica is acquired by Netcall plc and it is no longer open- source since October 2020
RoboCorp11-50YesFree if number of users is less than 5
Sikulix-YesFree

-supports following scripting languages: Python language level 2.7 (supported by Jython), RobotFramework text-scripts, Ruby language level 1.9 and 2.0 (supported by JRuby), JavaScript (supported by the Java Scripting Engine)
-requires Tesseract for OCR functionality

T-Plan11-50NoNot available

-14 days free trial
-enables GUI / screen interaction, OCR text extraction & image recognition

TagUI-YesFree

-Available under Apache 2.0 license which makes it free for commercial and noncommercial use
-Suitable for OCR (built-in),
UI automation, desktop&
web applications, direct ML model Integration (with API / R code / Python)

UI.Vision-YesFree

-Data extraction and screen scraping capabilities
-Produces automation scripts for Windows, Mac, and Linux

For more info on RPA, feel free to read our research on:

Also, don’t forget to check out our comprehensive and data-driven list of:

If you still have RPA-related questions, we would like to help:

Find the Right Vendors
Cem Dilmegani
Principal Analyst

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Cem's hands-on enterprise software experience contributes to the insights that he generates. He oversees AIMultiple benchmarks in dynamic application security testing (DAST), data loss prevention (DLP), email marketing and web data collection. Other AIMultiple industry analysts and tech team support Cem in designing, running and evaluating benchmarks.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

Sources:

AIMultiple.com Traffic Analytics, Ranking & Audience, Similarweb.
Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
Data management barriers to AI success, Deloitte.
Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
Science, Research and Innovation Performance of the EU, European Commission.
Public-sector digitization: The trillion-dollar challenge, McKinsey & Company.
Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

To stay up-to-date on B2B tech & accelerate your enterprise:

Follow on

Next to Read

Comments

Your email address will not be published. All fields are required.

0 Comments