Python RPA Features

Automation Building (6)

Visual Editor: Based on 15 Python RPA reviews. Provides a visual editor to easily create automation models.
Workflow Recording: Offers the ability to record processes performed by humans to be recreated by bots. This feature was mentioned in 14 Python RPA reviews.
Pre-Built Templates: Provides templates for workflows and processes for easier automation creation. 15 reviewers of Python RPA have provided feedback on this feature.
Custom Automation: Allows developers to code custom automations. This feature was mentioned in 15 Python RPA reviews.
Collaboration: Offers users the ability to reuse process automations and communicate with other team members around automation building. This feature was mentioned in 15 Python RPA reviews.
Ease of Bot Creation: Based on 15 Python RPA reviews. Allows non-technical users to create bots in an easy, intuitive manner.

Bot Scheduling: Equips administrators with the ability to schedule bot deployments in advance or on a consistent, regulated cadence. This feature was mentioned in 17 Python RPA reviews.
Attended Automation: As reported in 13 Python RPA reviews. Automates processes that supplement human action, often requiring human intervention and collaboration.
Unattended Automation: Automates processes completely without the need for human intervention. 17 reviewers of Python RPA have provided feedback on this feature.
Bot Performance Analytics: Based on 14 Python RPA reviews. Allows users to analyze the performance of bots via dashboards.
Data and Product Security: Insures data remains secure and compliant with industry standards. This feature was mentioned in 16 Python RPA reviews.
Scalability: Based on 16 Python RPA reviews. Able to support large deployments.

OCR: Based on 14 Python RPA reviews. Provides OCR capabilities in order to recognize text in documents and applications.
Machine Learning: As reported in 13 Python RPA reviews. Allows for intelligent automation whereby the bot can imitate human behavior by learning from behavioral patterns.
NLP: Provides NLP capabilities in order to understand text in documents and applications. This feature was mentioned in 12 Python RPA reviews.

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Multi-step Planning: Ability to break down and plan multi-step processes
Cross-system Integration: Works across multiple software systems or databases
Adaptive Learning: Improves performance based on feedback and experience
Natural Language Interaction: Engages in human-like conversation for task delegation
Proactive Assistance: Anticipates needs and offers suggestions without prompting
Decision Making: Makes informed choices based on available data and objectives