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About Python RPA

Python RPA is an automation platform built around Python, combining a low-code studio with enterprise orchestration. Teams can build automations using Python libraries, integrate OCR and AI services, and manage bots with scheduling, logging, and access controls. The platform supports workflow scaling while keeping development flexible for technical users. Integrations with common business apps help connect data across systems. Key capabilities: Python based automation development Low-code studio for workflow design Orchestrator for scheduling and monitoring OCR and AI extensions for document tasks Security, roles, and audit logging Best for: Teams that want flexible, Python first RPA.

Python RPA Details

Vendor
RPA Python
Year Launched
2019
Location
Headquarters Nazarbayev str 50, 212, Almaty, 050002, KZ
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos
Countries Served
All Countries
Languages
English, Spanish, French, German, Chinese, Japanese, Italian, Portuguese, Russian
Users
Developers, Data Scientists, Business Analysts, IT Professionals, Automation Engineers
Industries Served
banking, finance, insurance, oil & gas, retail
Tags
Artificial Intelligence, Robotic Process Automation, SaaS Management, RPA Python

Python RPA's In-App Market Place

Does Python RPA have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Aud (A$), Cad (C$), Jpy (¥), Cny (¥), Inr (₹), Rub (₽), Brl (R$)

Pros & Cons

  • 1. Enterprise-grade platform: Suitable for large organizations with complex automation needs.
  • 2. No-code RPA: Accessible to users with limited coding experience.
  • 3. Python scripting support: Advanced users can leverage Python for complex automations.
  • 4. On-premise/cloud deployment: Flexibility to choose the deployment option that best suits your needs.
  • 5. Wide range of integrations: Connects with popular applications like Excel, SAP, Oracle, Word, and PDF.
  • 6. Orchestrator integration: Manages and scales Python-based automations efficiently.
  • 7. Fixed price unlimited bots: Predictable pricing with no additional costs for scaling.
  • 8. Free Studio and Online Academy: Easy to get started and learn the platform.
  • 9. Suitable for various roles: Appeals to IT teams, freelancers, BPOs, and solopreneurs.
  • 1. Limited to Python: While Python is a powerful language, it might not be the best choice for all automation tasks.
  • 2. Enterprise-grade focus: Might be overkill for smaller organizations or individuals with simpler automation needs.
  • 3. On-premise deployment: Requires additional infrastructure and management if chosen.
  • 4. Fixed pricing: While predictable, it might not be the most cost-effective option for all use cases.
  • 5. Learning curve: Although the platform is designed to be user-friendly, there might be a learning curve, especially for those new to RPA.

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