GITNUXSOFTWARE ADVICE
Cybersecurity Information SecurityTop 10 Best Botting Software of 2026
Editorial roundup compares botting software options for teams, covering key features, setup tradeoffs, and common use cases.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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Zapier is the best pick for teams that need reliable app-to-app operational bot automation because webhooks plus multi-step Zaps plug custom API calls into the same trigger-to-action workflow, while Blue Prism is the safer alternative for enterprises wanting governed runs with a control-room queue that keeps bots under operational control.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Zapier
Webhooks plus multi-step Zaps let custom API interactions plug into the same trigger-to-action workflow.
Best for: Fits when operational bots need reliable app-to-app automation after events occur.
Blue Prism
Editor pickControl room orchestration with queue-based work distribution for managed bot runtime at scale.
Best for: Fits when enterprises need governed automation runs with reusable components and operational control.
Playwright
Editor pickRequest routing with per-context cookie persistence plus page and network event hooks for session-aware automation.
Best for: Fits when teams need code-first browser automation with precise page and network control for repeated flows.
Comparison Table
Zapier
productivity-automationNo-code platform connecting apps through automated workflows called Zaps.
Webhooks plus multi-step Zaps let custom API interactions plug into the same trigger-to-action workflow.
Zapier’s automation surface centers on app triggers and actions, with step chaining that passes fields from trigger events into later actions. Webhooks add an API-facing lane for when native app actions do not exist, and Zapier workflows can include paths, filters, and data formatting steps. A key fit signal is the breadth of SaaS-to-SaaS connectivity for operational bot tasks like ticket creation, CRM updates, and posting artifacts to messaging channels.
A concrete tradeoff is that Zapier does not provide first-party capabilities for cookie jar persistence, proxy rotation, or headless browser session management, so it cannot replace a browser automation runtime. It fits best when bot orchestration needs system-to-system responses to external events, like processing lead forms into downstream tools and alerting teams.
- +Large catalog of triggers and actions for event-driven automation
- +Webhooks route custom API calls into the same workflow graphs
- +Filters and conditional paths support branching without code
- +Formatter steps normalize fields for consistent downstream inputs
- –No built-in proxy rotation or browser session management for stealth workflows
- –Governance and audit visibility can lag behind developer-first orchestration stacks
- –High-frequency runs can require careful design to avoid backlog effects
- –Complex state machines still require external systems for durable storage
Revenue operations teams
Route new leads across tools
Faster lead handoffs
Support operations teams
Synchronize tickets and documentation
Lower manual coordination
Show 2 more scenarios
RevOps automation engineers
Integrate internal APIs with webhooks
Consistent automation control
Receive event payloads via webhook and call internal endpoints as Zap actions.
Security operations teams
Triage alerts into case management
More consistent triage
Transform SIEM event fields and route them into incident workflows with conditional steps.
Best for: Fits when operational bots need reliable app-to-app automation after events occur.
Blue Prism
enterpriseEnterprise-grade RPA software for digital workforce orchestration.
Control room orchestration with queue-based work distribution for managed bot runtime at scale.
Blue Prism is designed for organizations that need controlled bot execution with consistent release practices and clear operational ownership. The development model centers on business objects, process templates, and stage-gated deployments managed from the control room. Bot orchestration is handled through runtime scheduling and queue-based work management so multiple robots can share workloads without custom job scripts.
A key tradeoff is that Blue Prism is heavier than script-first automation tools and requires disciplined environment setup for credentials, target systems, and release promotion. It fits best when the target use case repeats at scale, like back-office workflows that require audit-friendly steps and stable integration points.
- +Control room centralized scheduling, deployments, and robot runtime monitoring
- +Reusable process components reduce regression risk across similar workflows
- +Queue-based work management supports higher throughput than manual runs
- +Enterprise integration via database access and service interactions
- –Heavier implementation and governance work than lightweight bot scripts
- –Browser UI automation needs careful selector and flow maintenance
- –Debugging complex multi-step processes takes more effort than scripting
- –Scaling requires attention to robot resource limits and target system throttles
Operations excellence teams
High-volume back-office workflow automation
Fewer manual handoffs
IT governance teams
Release-managed automation deployments
Lower change risk
Show 2 more scenarios
Customer service automation teams
System-assisted case handling
Faster case resolution
Combine service calls and UI steps to populate and update records reliably.
Finance operations teams
Reconciliation workflow execution
More consistent reconciliations
Use database integrations to drive repeatable checks and exception handling steps.
Best for: Fits when enterprises need governed automation runs with reusable components and operational control.
Playwright
open-sourceMicrosoft-backed open-source library for cross-browser web automation.
Request routing with per-context cookie persistence plus page and network event hooks for session-aware automation.
Playwright provides headless browser automation with a first-class test runner that can also drive bot-style login flow simulation. Its core capabilities center on multi-browser control, deterministic element targeting, and rich APIs for network, cookies, and page lifecycle events.
Automation can be scaled through request routing using proxies and controlled concurrency via the test runner and custom async orchestration. Compared with bot orchestration layers, Playwright is a code-first execution engine with extensibility through Node.js and Python bindings.
- +Multi-browser automation with identical APIs across Chromium, Firefox, and WebKit
- +Network routing and request interception support cookie jar persistence and custom headers
- +Built-in test runner enables repeatable scenarios and CI-friendly execution
- +Event-driven page and network listeners support session-aware workflows
- –No native proxy pool or residential proxy rotation management layer
- –Anti-bot detection bypass needs custom logic per target, not a provided framework
- –Scaling at high throughput requires careful concurrency and resource tuning
- –Session storage and credential handling require custom persistence and governance
QA and web app teams
Run UI checks across browser engines
Fewer release regressions
QA engineers
Validate scripted UI flows in headless
Repeatable workflow validation
Show 2 more scenarios
Developers and QA engineers
Test complete user journeys in browser
Key flows behave correctly
Automates multi-step journeys like sign-in and checkout to confirm expected behavior across browser page lifecycles.
Frontend test engineers
Inject backend failures during UI tests
UI edge cases validated
Intercepts requests to simulate predictable responses and failure conditions for validating frontend handling and edge cases.
Best for: Fits when teams need code-first browser automation with precise page and network control for repeated flows.
AutoHotkey
desktop-automationFree scripting language for Windows desktop automation and hotkeys.
Hotkey and timer execution with arbitrary state in a single script language.
AutoHotkey executes Windows automation scripts that can remap keys, control windows, and drive UI flows without needing a separate bot runtime. It uses a plain-text script language with timers, hotkeys, and stateful variables to coordinate repeatable actions across applications.
- +Native hotkeys and timers for deterministic task scheduling
- +Direct window and control automation with fine-grained keystroke control
- +Script variables and functions support reusable workflow components
- +Large ecosystem of community scripts for common Windows automation tasks
- –No native browser session management or cookie jar persistence primitives
- –Scaling parallel runs requires custom process management logic
- –Lacks centralized bot telemetry, audit logs, and run dashboards
- –Anti-bot evasion work depends on external browser control patterns
Developers and power users
Build small local utility hotkeys
Less manual work
Windows automation operators
Repeat pointer routines with coordinates
Consistent pointer behavior
Show 2 more scenarios
Windows power users
Use app-specific shortcuts per window
More consistent shortcuts
Assigns hotkeys that trigger different actions depending on the active window to avoid cross-application conflicts.
SMB teams and desktop users
Automate recurring keyboard and window steps
Repeatable local workflows
Runs scripted workflows that repeat keyboard, mouse, and application steps with timers and stateful variables.
Best for: Fits when Windows UI automation needs script-level control over input and timing.
Automation Anywhere
enterpriseCloud-native RPA platform with bot creation and analytics.
Control Room provides centralized bot orchestration with role-based access and job-level run management.
Automation Anywhere provides a workflow authoring experience centered on reusable modules and a bot runtime that can drive browser and desktop user interactions. Control Room supports centralized scheduling, bot job management, and role-based access for administrators who need separation between operators and developers. Automation Anywhere integrates with external systems through APIs and connector patterns that let orchestration originate from other platforms rather than only from the UI scheduler. For scaling, it supports distributed bot execution with queues and centralized visibility into job status.
- +Control Room centralizes scheduling, bot runs, and operator access control
- +Workflow modules support reuse across attended and unattended process patterns
- +API and bot command interfaces enable external systems to trigger automation runs
- +Distributed execution models fit multi-team operations with centralized monitoring
- –Steady unattended operations require strict credential and asset governance
- –Complex UI automations can be sensitive to target interface changes
- –Advanced integrations often need custom engineering around connectors and orchestration
- –Standalone proof-of-concept can feel slower than script-only bot approaches
Shared services operations
Run nightly customer data update workflows
Lower cycle time for batch work
IT automation teams
Integrate enterprise triggers into bot runs
Fewer manual handoffs between systems
Show 2 more scenarios
Contact center supervisors
Assist agents with attended UI automation
More consistent agent handling
Guides agents through structured actions while retaining human oversight in the workflow.
Process engineering teams
Standardize reusable automation modules
Reduced rework across teams
Builds reusable workflow components for consistent execution across multiple departments.
Best for: Fits when operations teams need governed, centrally scheduled unattended and attended automation at scale.
Botpress
vertical-specialistOpen-source conversational AI platform for building chatbots.
Botpress Studio workflow builder pairs step-based conversation orchestration with code actions for tight integration into external systems.
Botpress focuses on building conversational bots with a visual workflow editor plus code-level extensibility. It offers an orchestration layer for intents, flows, and integrations, with execution state carried across steps.
- +Visual flow editor maps conversation logic into readable step sequences
- +Extensibility hooks support custom code actions inside workflows
- +Conversation lifecycle integration uses an API-based event and webhook pattern
- +Deployment options fit multiple channels without rewriting core flows
- –Non-trivial governance is needed to keep complex flows maintainable
- –Advanced session state handling requires careful design in longer conversations
Bot developers and ops teams
Improve conversation quality with analysis
More maintainable dialogs
Product and customer success teams
Guide onboarding with stateful dialog flows
Fewer manual onboarding steps
Show 2 more scenarios
Operations and enablement teams
Answer internal questions via knowledge assistant
Faster access to info
Connects internal knowledge sources so employees can ask questions and retrieve answers through conversational search.
Developers and automation teams
Trigger business actions from conversations
Automated task completion
Combines dialog logic with custom actions, APIs, and webhooks to complete tasks in connected systems.
Best for: Fits when teams need visual bot orchestration with custom code integrations and manageable conversation state.
Octoparse
vertical-specialistNo-code web scraping tool with automated data extraction.
Visual workflow builder that translates click-and-identify steps into executable multi-page extraction jobs.
Octoparse builds browser-based data extraction workflows with a point-and-click visual editor that maps UI elements to structured outputs. It supports scheduled runs, multi-page scraping logic, and dataset export formats for downstream automation.
- +Visual workflow editor converts page interactions into repeatable extraction steps
- +Built-in scheduling supports unattended reruns of the same extraction job
- +Session and cookie persistence helps maintain continuity across multi-page flows
- +Export and integration options fit into existing automation and data pipelines
- –Advanced anti-bot evasion controls are limited compared with custom bot frameworks
- –High-volume throughput depends on operator tuning for concurrency and request timing
Procurement and merchandising teams
Extract supplier listing specifications
Structured product data
Procurement operations teams
Collect results from interactive forms
Less manual data entry
Show 2 more scenarios
Research and data preparation teams
Extract fields from PDFs and images
Searchable structured output
Runs document-oriented workflows to pull text or fields from datasheets and other non-HTML sources.
Marketing and brand teams
Snapshot landing pages on a schedule
Repeatable monitoring snapshots
Schedules extraction jobs to capture changes to websites, advertisements, and landing-page content over time.
Best for: Fits when teams need maintained browser automation for data gathering with minimal scripting.
ParseHub
vertical-specialistVisual web scraping tool for extracting data from websites.
Visual project builder that converts click-and-define steps into repeatable extraction runs with structured table output.
ParseHub targets browser-based data extraction workflows where a human-like click path needs to be turned into a repeatable automation run. It provides a visual project builder for defining scraping steps, then executes them with an embedded browser engine that can handle multi-page navigation and repeated actions.
- +Visual workflow builder reduces time to first extraction flow
- +Handles multi-page navigation and repeated interactions within projects
- +Exports structured results such as CSV for downstream processing
- +Includes runtime controls like step ordering and retries per run
- –Limited automation governance controls such as RBAC and audit logs
- –No built-in API surface for external orchestration and scheduling
- –Stealth and anti-bot evasion controls are not a primary focus
- –Selector stability can break when page structure changes
Market research teams
Collect competitor listings repeatedly
Structured comparison dataset
SEO researchers and analysts
Extract links and fields from SERPs
Dataset for ranking analysis
Show 2 more scenarios
QA and data operations teams
Validate displayed values against records
Evidence of mismatches
Extracts displayed values from websites so teams can compare results with internal or previously collected data.
Product research and catalog teams
Extract repeated attributes from listings
Comparable fields in exports
Builds projects that gather consistent product attributes from catalog and listing pages into structured exports.
Best for: Fits when teams need click-driven extraction from consistent web pages and exportable tabular data.
Rasa
open-sourceOpen-source framework for building contextual AI assistants.
Rasa Core dialogue policies and trackers let teams control multi-turn state and conversation behavior with pluggable actions.
Rasa provides a botting framework built around conversational state, dialogue policies, and machine learning training. Rasa’s core strength is its end-to-end workflow from intent and entity training through NLU parsing and dialogue orchestration.
- +Dialogue orchestration is configurable through policies and custom components
- +Python-first extensibility supports custom actions and message processing
- +Stateful conversation handling enables multi-turn flows with controlled context
- +Training artifacts separate NLU behavior from dialogue logic
- –Production setup requires engineering work for training, serving, and integrations
- –Complex edge-case routing often needs custom code in actions and policies
- –Scaling message throughput depends on careful deployment tuning
- –Browser automation style workflows fall outside Rasa’s native scope
Developer teams
Build task-oriented operational assistants
Repeatable task conversations
Customer service operations teams
Automate support classifications and handling
More consistent automation
Show 2 more scenarios
Conversational AI developers
Regress test changes to dialogue behavior
Earlier change detection
Tests intent, dialogue policy, and action code updates against expected conversation behavior to catch disruptions.
Teams building voice assistants
Use dialogue layer for voice workflows
Controlled voice interactions
Uses the conversational runtime as the dialogue layer to support custom voice assistant implementations.
Best for: Fits when teams need configurable, stateful chat orchestration with custom actions and ML-driven NLU.
Make
productivity-automationVisual platform for building and automating workflows across apps.
Scenario-level execution with route logic and reusable modules built around triggers, schedulers, and HTTP calls.
Make is a workflow automation tool that turns API calls and webhooks into no-code bot orchestration across many systems. It uses scenario building with triggers, routers, and scheduled jobs to coordinate multi-step logic like request retries and state handoffs.
- +Scenario editor supports multi-step bot workflows with routers and error paths
- +HTTP and webhooks modules let bots integrate when no native connector exists
- +Built-in data mapping reduces manual payload transformation work
- +Scheduled runs support consistent bot operations like polling and batch tasks
- –Per-step logs can be hard to trace in long scenarios with many branches
- –High-volume concurrency needs careful design to avoid slowdowns
- –No native browser session controls for cookie jar persistence or headless flows
- –Governance and RBAC controls are not as granular as enterprise automation suites
Operations and project teams
Connect approval steps across apps
Repeatable approval workflows
IT operations and automation owners
Inspect runs and recover failed steps
Faster failure handling
Show 2 more scenarios
Marketing and operations teams
Route data from webform submissions
Less manual form handling
Starts workflows from webform submissions and sends submitted information to the right systems or teams.
Finance and operations teams
Run scheduled reconciliation checks
Recurring reconciliations
Executes periodic reconciliation tasks on a defined schedule across connected applications.
Best for: Fits when teams need visual workflow automation for bot backends and API integrations, not browser automation.
Conclusion
After evaluating 10 botting software, Zapier stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Botting Software
Botting software covers governed automation and browser-driven workflows across Control Room orchestration stacks, code-first browser automation engines, and chatbot conversation platforms. This buyer’s guide covers Automation Anywhere, Blue Prism, Zapier, Playwright, AutoHotkey, Make, Botpress, Rasa, Octoparse, and ParseHub, and it narrows the ranking focus to performance for bot-style deployment needs.
The selection emphasizes how each tool handles orchestration, execution control, and integration surfaces, since Botpress and Rasa focus on conversation orchestration while Playwright and Octoparse focus on browser automation flows. Automation Anywhere leads with Control Room centralization for job-level run management and role-based access, and Microsoft-adjacent chatbot frameworks such as Bot Framework and Dialogflow are compared earlier for deployment requirements in chatbot use cases.
Botting Software for orchestrated automation, governed execution, and browser session control
Botting software automates repeatable actions such as unattended task runs, event-triggered workflows, and multi-page browser interactions using schedulers, workflows, and execution runtimes. Automation Anywhere pairs Control Room orchestration with governed access and job-level run management so operators can schedule and monitor automation as a managed set of bot runs.
In contrast, Playwright provides code-first browser automation through network routing and per-context cookie persistence, which supports session-aware automation when workflows must inspect requests and maintain cookies across repeated runs. Botting software can also be conversation-oriented, where Botpress uses a visual Studio workflow builder for step-based orchestration and code actions to wire conversation steps into external systems.
Execution control, orchestration depth, and browser-session primitives
Botting software quality shows up in how execution is governed, how runs are scheduled and monitored, and how session state is preserved across repeated workflows. Automation Anywhere and Blue Prism score highest in orchestration because their Control Room centralizes scheduling and runtime visibility for managed bot runs.
Central run orchestration with job-level governance
Automation Anywhere and Blue Prism both centralize orchestration in their control rooms and treat bot execution as managed jobs rather than ad hoc scripts.
Browser session persistence and request-level hooks
Playwright provides per-context cookie persistence and network event hooks for session-aware automation that inspects requests while keeping browser state stable across runs.
Workflow integration surface via webhooks and code actions
Zapier routes app-to-app automation through triggers and multi-step Zaps with Webhooks, while Botpress Studio pairs a visual flow builder with code actions to connect conversation steps to external systems.
Extraction workflow repeatability with visual project builders
Octoparse and ParseHub both convert click-and-identify steps into executable multi-page extraction jobs that can be rerun unattended on a schedule.
Concurrency and traceability for long, branching scenarios
Make provides a scenario-level execution model with routers and error paths, and its branching execution needs careful tracing when workflows include many routes.
Choose by execution model: governed bots, code-first browsers, or conversation flows
The strongest fit comes from matching the product’s execution model to the workflow shape. Control room stacks handle governed enterprise automation runs, code-first browser engines handle session-aware web interactions, and conversation platforms handle step-based dialogue orchestration.
Select Control Room orchestration when unattended jobs need centralized governance
Automation Anywhere is the best match when centralized orchestration must include role-based access and job-level run management for attended and unattended execution. Blue Prism is the better choice when queue-based work distribution and reusable process components matter for scaling governed bot runtime.
Pick Playwright for code-first browser automation that depends on network control
Playwright is the right choice when automation must intercept requests and preserve cookies using per-context cookie persistence across repeated flows. This model also supports multi-browser execution with identical APIs, which reduces drift when workflows must target Chromium, Firefox, or WebKit.
Choose Zapier when bot logic is event-triggered app automation with custom API calls
Zapier fits when automation starts from triggers inside popular apps and continues through multi-step Zaps with Webhooks for custom API interactions. This also narrows operational scope to integration workflows rather than browser stealth tooling or managed browser session primitives.
Fork to chatbot orchestration when conversation state and external actions are first-class
Botpress is the better fit when visual flow orchestration must include extensibility hooks for custom code actions inside workflows. Rasa fits when dialogue policies and trackers must be configurable for multi-turn state with pluggable actions implemented in Python.
Use Octoparse or ParseHub when extraction repeats on consistent page layouts
Octoparse fits when click-and-identify steps must compile into repeatable multi-page extraction jobs with scheduling for unattended reruns. ParseHub fits when structured table output is the main requirement and the workflow runs depend on consistent page patterns more than deep orchestration governance.
Choose Make for visual scenario graphs that integrate HTTP workflows and complex routing
Make is the right fit when scenario-level route logic with routers and error paths must coordinate bot backends and API integrations through HTTP calls. Its per-step logs can be harder to trace in long, highly branched scenarios, so this choice favors teams that design for observability early.
Teams that match orchestration shape to operational constraints
Buyers should pick tools that align with how work is actually operated day to day. Control room buyers need centralized run management, browser-automation buyers need session-aware primitives, and integration buyers need event-triggered execution graphs.
Operations teams running governed unattended and attended automations
Automation Anywhere supports centralized scheduling and operator access control in Control Room, so it fits when execution must be managed as job runs rather than personal scripts.
Developers building session-aware browser workflows with precise control
Playwright supports per-context cookie persistence and network routing, which fits when automation must inspect requests and keep stable session state across repeated runs.
Automation teams standardizing event-triggered API and app workflows
Zapier combines a large trigger and action catalog with Webhooks so teams can connect custom API calls into the same workflow graphs.
Chatbot builders who need conversation orchestration and external system actions
Botpress Studio provides a visual workflow builder with code actions for wiring conversation steps into external systems, while Rasa emphasizes configurable dialogue orchestration via policies and trackers.
Analysts running repeatable data extraction without heavy engineering
Octoparse and ParseHub both translate click-driven definitions into executable extraction projects, so they fit when the target pages are consistent enough to keep steps stable.
Common selection and deployment pitfalls
Botting software projects fail most often when execution governance and session-state handling are treated as afterthoughts. The next pitfalls map directly to the operational constraints reflected in tool capabilities and limitations.
Choosing a browser-first automation tool without a clear session-state strategy
Playwright supports per-context cookie persistence, so workflows that need stable login sessions should be designed around that context model instead of rebuilding sessions each run.
Using workflow automation for governed runtime without centralized orchestration expectations
Zapier lacks native proxy rotation and browser session management for stealth workflows, so it fits integration automation rather than browser-session heavy automation that requires controlled runtime governance.
Building long branching scenarios without planning for traceability
Make can be difficult to trace with many branches because per-step logs become harder to follow, so scenario design should include clear routing and error paths early.
Underestimating governance work for complex conversation or orchestration graphs
Botpress flow complexity can require non-trivial governance to keep maintainable, so large conversation graphs should be modularized to reduce regression risk.
Assuming visual extraction tools can handle adversarial browsing behaviors
Octoparse and ParseHub include visual workflow builders but advanced anti-bot evasion controls are limited compared with custom bot frameworks, so projects needing deep evasion should plan for code-first automation.
How We Selected and Ranked These Tools
We evaluated Automation Anywhere, Blue Prism, Zapier, Playwright, AutoHotkey, Make, Botpress, Rasa, Octoparse, and ParseHub against execution control depth, orchestration features, and integration behavior. Features counted for 40% because Control Room and workflow builders show the biggest differences in how runs are scheduled, monitored, and extended.
Ease and value each counted for 30% because orchestration setup and maintenance effort affects long-term bot run stability. Automation Anywhere separated itself by combining Control Room centralized scheduling with role-based access and job-level run management for managed bot execution.
Frequently Asked Questions About Botting Software
How do Botpress and Rasa exchange events with external systems during a bot run?
Which tool fits chatbot deployment orchestration when the requirement includes SSO and RBAC?
How does Microsoft Bot Framework differ from Dialogflow when building conversation flows with custom code actions?
What breaks if session state is not persisted across runs in Playwright-based automation?
How does request scheduling work when scaling browser-driven bot automation with proxy routing?
When is Dialogflow a better fit than Botpress for chatbot deployments focused on natural-language routing?
How can Rasa and Botpress handle admin changes without breaking ongoing conversation logic?
Which migration path is safer when moving from browser automation workflows to orchestration-first systems like Make?
Where does headless browser automation fall short compared with bot orchestration layers like Botpress?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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