GITNUXSOFTWARE ADVICE
Telecommunications ConnectivityTop 10 Best Bandwidth Throttling Software of 2026
Compare top Bandwidth Throttling Software options with a 2026 ranking, including NetLimiter, SoftPerfect, and NinjaOne for network admins.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
NetLimiter
Per-process bandwidth limits enforced through configurable throttling rules
Built for windows users needing fast per-app bandwidth control and traffic auditing.
SoftPerfect Bandwidth Manager
Editor pickPer-user and per-computer bandwidth quotas with time schedules
Built for network admins needing Windows-focused throttling with detailed per-client rules.
NinjaOne Bandwidth Management
Editor pickBandwidth Management policy rules applied to selected endpoints from the NinjaOne console
Built for iT teams standardizing endpoint bandwidth limits across many sites.
Related reading
Comparison Table
The comparison table benchmarks Bandwidth throttling and network control tools on integration depth, including how each product maps throughput controls into its data model and configuration schema. It also highlights automation and API surface for provisioning and policy rollout, plus admin and governance controls such as RBAC and audit log coverage. The goal is to make tradeoffs visible across NetLimiter, SoftPerfect Bandwidth Manager, NinjaOne Bandwidth Management, PRTG Network Monitor, and Tufin Orchestration Suite.
NetLimiter
Windows traffic shapingNetLimiter enforces per-process and per-connection bandwidth limits on Windows and provides real-time traffic monitoring.
Per-process bandwidth limits enforced through configurable throttling rules
NetLimiter is a Windows-only bandwidth throttling tool that targets individual processes and services with separate download and upload limits. It pairs rate rules with per-process and per-connection visibility through live graphs and connection lists, so throttling behavior can be verified immediately. Rules can be turned on and off to test different limits without rebuilding configuration.
A practical tradeoff is that it focuses on Windows environments and per-process control, so it fits less well for network-wide shaping when traffic is not tied to a local process. It works well for limiting update traffic from specific apps while keeping interactive tools responsive, such as capping a backup job during remote work.
- +Per-process upload and download throttling with clear rule targeting
- +Real-time traffic monitoring with live graphs and connection visibility
- +Supports granular limits for apps and individual connections
- –Windows-only deployment limits cross-platform use cases
- –Rule setup can feel complex for first-time throttling needs
System administrators
Limit background updates per service
Predictable bandwidth usage
Remote work teams
Throttle sync during video calls
Smoother call quality
Show 2 more scenarios
Home users
Cap torrent and streaming bandwidth
Less network contention
Assign download and upload limits to torrent clients and streaming apps using per-process rules.
QA testers
Simulate slow network for apps
Repeatable test scenarios
Throttle specific test executables to reproduce bandwidth conditions and validate app behavior under constraints.
Best for: Windows users needing fast per-app bandwidth control and traffic auditing
More related reading
SoftPerfect Bandwidth Manager
IP-based throttlingSoftPerfect Bandwidth Manager limits bandwidth per IP address and schedules usage policies for network clients.
Per-user and per-computer bandwidth quotas with time schedules
SoftPerfect Bandwidth Manager focuses on practical bandwidth throttling using per-user and per-computer controls for Windows networks. It delivers scheduling, per-group policies, and usage monitoring to target real bandwidth constraints at the client level.
The tool also supports advanced rule logic for shaping traffic based on IP addresses, hostnames, and application selection. Administration stays centered on a single Windows management console that pairs policy management with reporting.
- +Per-user and per-computer throttling rules with clear policy targeting
- +Traffic scheduling supports time-based limits for predictable bandwidth usage
- +Built-in monitoring shows current usage against configured limits
- +Granular controls for IP, host, and application enable precise shaping
- –Windows-focused management limits suitability for non-Windows environments
- –Application identification can require careful setup to match traffic reliably
- –Complex rule sets can take time to troubleshoot during changes
Network admins at enterprises
Control bandwidth per workstation and user
Stable network performance
IT teams managing remote sites
Throttle traffic by IP and hostname
Site congestion reduction
Show 2 more scenarios
Helpdesk and operations staff
Monitor usage for troubleshooting
Faster root-cause analysis
Review reports to identify top talkers and validate throttling rules during incidents.
Sysadmins enforcing app-level policies
Limit bandwidth for selected applications
Priority traffic preserved
Create rules that target applications to keep critical services reachable under load.
Best for: Network admins needing Windows-focused throttling with detailed per-client rules
NinjaOne Bandwidth Management
Managed network operationsNinjaOne supports controlled network configuration workflows that can apply bandwidth throttling settings across managed devices.
Bandwidth Management policy rules applied to selected endpoints from the NinjaOne console
NinjaOne Bandwidth Management stands out because it ties bandwidth throttling controls to endpoint monitoring and operational automation inside the NinjaOne IT management suite. It enables traffic shaping policies that can be applied to endpoints to limit or prioritize network usage and reduce saturation during peak activity.
The solution supports centralized rule management so administrators can define throttling targets without manual per-device changes. Enforcement is designed to align throttling actions with device health and inventory context managed by NinjaOne.
- +Centralized policy management across managed endpoints for consistent throttling
- +Integrates bandwidth control into broader NinjaOne monitoring and device inventory workflows
- +Supports scenario-based rate limits to curb network saturation during critical periods
- –Requires careful policy planning to avoid unintended slowdowns on key apps
- –Setup and validation can take longer than pure network-only throttling tools
- –Operational troubleshooting depends on NinjaOne visibility into endpoint network behavior
Network operations teams
Throttle endpoints during peak application launches
Smoother network performance
IT automation teams
Enforce throttling based on device health
Fewer network disruptions
Show 2 more scenarios
SecOps and compliance teams
Limit outbound bandwidth for sensitive hosts
Controlled data movement
Centralized policies cap traffic from selected endpoints to support acceptable use and reduce data-transfer risks.
Field IT and support teams
Prioritize remote support traffic
Faster incident resolution
Rules prioritize support-related traffic when multiple endpoints compete for bandwidth during remediation windows.
Best for: IT teams standardizing endpoint bandwidth limits across many sites
More related reading
PRTG Network Monitor
Monitoring + controlsPRTG monitors bandwidth usage and drives bandwidth-related alerts that pair with throttling controls in network tooling.
Custom alert rules tied to sensors and triggers for automated bandwidth-related responses
PRTG Network Monitor distinguishes itself with sensor-driven network monitoring that can trigger bandwidth-related actions based on live traffic and device health. Core bandwidth throttling use cases are supported through workflow automation via alerts and probes that can react to thresholds on interfaces, SNMP counters, and bandwidth metrics.
The product is strong at visibility across routers, switches, servers, and links, but throttling control is more indirect than purpose-built traffic shaping platforms. Bandwidth-throttle outcomes depend on how well monitoring signals integrate with external QoS or traffic shaping mechanisms.
- +Sensor-based bandwidth monitoring across many device types with SNMP and interface counters
- +Alert-driven workflows connect monitoring thresholds to corrective actions
- +Clear dashboards and historical graphs for sustained bandwidth management
- –Throttling control is not a native traffic-shaping engine
- –Complex rule chains can grow when many interfaces require custom thresholds
- –Accurate throttling depends on correct sensor configuration and polling behavior
Best for: IT teams needing monitoring-triggered bandwidth controls without building custom telemetry
Tufin Orchestration Suite
Policy automationTufin automates network policy changes so bandwidth throttling rules can be applied through governed workflows.
Change management with impact analysis and policy validation across orchestrated network policy updates
Tufin Orchestration Suite stands out by focusing on automated policy orchestration across network security and routing domains, which is useful when bandwidth throttling must stay aligned with security intent. The suite supports change workflows, impact analysis, and policy consistency checks that help prevent throttling rules from drifting across firewalls, load balancers, and related enforcement points. Bandwidth throttling capabilities are typically delivered through orchestrated configuration changes, supported by centralized templates, auditing, and validation to reduce manual adjustment errors.
- +Automates throttling-related rule changes with policy consistency checks
- +Provides impact analysis to reduce risk before enforcing bandwidth limits
- +Centralizes multi-device orchestration for faster, repeatable throttling updates
- –Implementation complexity is high for teams without existing orchestration processes
- –Bandwidth throttling outcomes depend on underlying device capabilities
- –Workflow-heavy operations can slow urgent, one-off throttling tweaks
Best for: Enterprises needing orchestrated, audited bandwidth throttling across many security devices
ManageEngine OpManager
Bandwidth monitoringOpManager monitors interface bandwidth and supports network management workflows used to trigger and coordinate throttling changes.
Auto-throttling actions triggered by OpManager performance thresholds
ManageEngine OpManager stands out for bandwidth throttling as part of a broader network performance and monitoring suite that blends telemetry with control-plane actions. It provides flow-level visibility from SNMP, NetFlow, and similar data sources, then uses that data to inform when to trigger throttling and traffic shaping changes.
The product emphasizes operational monitoring workflows like threshold alerts and device health views that support bandwidth enforcement across many network segments. Bandwidth throttling is strongest when the environment already uses OpManager for network monitoring rather than when a standalone policy controller is required.
- +Network monitoring context helps drive bandwidth throttling decisions
- +SNMP and flow-based visibility supports targeted throttling policies
- +Central console reduces coordination overhead across many devices
- +Threshold alerts align enforcement with measurable performance states
- –Throttling setup depends on consistent device support and data feeds
- –Policy tuning can require iterative adjustment to avoid disruption
- –Dense dashboards can slow initial configuration for new teams
Best for: Network operations teams needing monitored, data-driven bandwidth control
More related reading
LibreNMS
Network monitoringLibreNMS monitors bandwidth and can integrate with automation to apply QoS and traffic shaping on network devices.
Near real-time interface throughput graphs and threshold alerting for SNMP-monitored links
LibreNMS stands out for combining bandwidth monitoring with network-wide visibility using SNMP and other device telemetry. It tracks interface throughput, errors, and utilization trends across routers and switches, which supports bandwidth throttling planning and validation.
The system also offers alerting and graphing so bandwidth changes can be observed at the interface level in near real time. LibreNMS is not a traffic-shaping controller, so throttling enforcement must be done with the network gear or separate software.
- +Interface-level bandwidth graphs for planning throttling changes
- +SNMP-driven collection across diverse network hardware
- +Alerting ties threshold events to throughput and utilization spikes
- +Data retention enables trend analysis for long-running capacity work
- –No built-in bandwidth throttling enforcement or traffic shaping engine
- –Setup and onboarding require solid networking and monitoring knowledge
- –Less suitable for fast automated closed-loop throttling workflows
Best for: Network teams needing bandwidth monitoring to validate and manage throttling policies
OpenNMS
Performance monitoringOpenNMS provides network performance monitoring and supports automation hooks used to coordinate bandwidth throttling actions.
SNMP-driven collection with alerting that can trigger congestion response workflows
OpenNMS is a network monitoring platform that can support bandwidth-aware operations through its collection, alerting, and graphing pipeline. It focuses on SNMP and telemetry collection, so bandwidth throttling is typically implemented indirectly by detecting congestion indicators and triggering actions.
Integrations with event notifications and automation hooks enable workflows that can coordinate traffic shaping changes across network devices. Bandwidth throttling itself depends on external enforcement on routers, firewalls, or SDN controllers.
- +Strong SNMP-based monitoring foundation for detecting bandwidth saturation signals
- +Event and alerting pipeline supports automation triggers tied to congestion
- +Mature graphing and historical data helps validate throttling effectiveness
- –No built-in traffic shaping engine for direct bandwidth throttling enforcement
- –Automation setup requires external scripting and device-side configuration
- –Initial deployment and tuning of monitoring collectors can be operationally heavy
Best for: Enterprises using OpenNMS monitoring to drive device throttling decisions and reporting
More related reading
OpenWrt
Router traffic controlOpenWrt enables bandwidth throttling using traffic control features like SQM and qdisc configuration on routers.
SQM with fq_codel for smart queue management and latency-aware throttling
OpenWrt is distinct because it turns a router into a controllable networking platform with configurable traffic shaping capabilities. It can throttle bandwidth per device using Linux traffic control features and firewall integration.
Real-world control is achieved through SQM and queueing discipline configurations, plus fine-grained rules tied to interfaces and flows. Deployment focuses on router-level enforcement instead of application-level bandwidth controls.
- +Per-interface and per-flow bandwidth shaping using Linux traffic control
- +SQM support improves latency under congestion with queue management
- +Firewall rules can target devices and traffic classes for throttling
- –Setup requires command-line comfort and careful configuration
- –Complex shaping can break if interface names and queue limits change
- –No built-in application-level controls like per-app throttling
Best for: Home or small offices needing router-based throttling and congestion control
pfSense
Firewall QoSpfSense applies traffic shaping and bandwidth limits using built-in QoS and traffic rules on firewall appliances.
Traffic shaping with per-interface queues controlled through firewall states
pfSense stands out by combining a full firewall and routing appliance with built-in traffic shaping and bandwidth control. It supports per-interface traffic shaping, queueing, and rule-driven control using the underlying packet filter and shaper capabilities.
Bandwidth throttling can be enforced with carefully designed firewall rules that direct traffic into specific queues. The solution is strong for network-edge deployments but requires tuning to match link types and performance goals.
- +Per-interface bandwidth shaping with queue-based traffic control
- +Rule-driven throttling using firewall and traffic shaping integration
- +Works well at the network edge for enforcing consistent limits
- –Requires expertise to design accurate queues and limit behavior
- –Bulk tuning is needed to avoid bufferbloat and unintended latency
- –Advanced throttling workflows can become complex to troubleshoot
Best for: Organizations needing router-level bandwidth throttling with rule-based enforcement
Conclusion
After evaluating 10 telecommunications connectivity, NetLimiter 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 Bandwidth Throttling Software
This guide covers bandwidth throttling tools including NetLimiter, SoftPerfect Bandwidth Manager, NinjaOne Bandwidth Management, PRTG Network Monitor, Tufin Orchestration Suite, ManageEngine OpManager, LibreNMS, OpenNMS, OpenWrt, and pfSense.
The focus is integration depth across monitoring and endpoint or network enforcement, the underlying data model used for rules and telemetry, and the automation and API surface available for provisioning and governance.
Admin and governance controls receive emphasis through policy consistency checks, centralized console workflows, alert-driven action pipelines, and router or firewall rule ownership.
Bandwidth throttling enforcement through rules, queues, or orchestration workflows
Bandwidth throttling software applies rate limits that reduce throughput or prioritize traffic by mapping limits to processes, clients, endpoints, interfaces, or flows. It solves congestion problems by turning measured bandwidth usage into controlled enforcement through local policy engines like NetLimiter and router traffic control like OpenWrt or pfSense.
Tools like SoftPerfect Bandwidth Manager apply quotas using a client identity model such as IP, hostnames, and application selection. Tools like NinjaOne Bandwidth Management apply throttling policies across managed endpoints from a central console so enforcement stays consistent during operational workflows.
Integration depth, data model, and automation surfaces that make throttling governable
Selecting bandwidth throttling software depends on how rule targets are represented in the tool’s data model and how enforcement is executed for the same target across devices. NetLimiter uses per-process and per-connection targeting on Windows, while SoftPerfect Bandwidth Manager uses per-user and per-computer quotas tied to IP, hostnames, and application selection.
Integration depth and automation surfaces determine whether throttling changes can be provisioned and audited without manual replication. Tufin Orchestration Suite and NinjaOne Bandwidth Management concentrate on centralized policy workflows, while monitoring-first platforms like PRTG Network Monitor and ManageEngine OpManager drive throttling through sensor thresholds that trigger external actions.
Process, client, endpoint, or interface targeting data model
Rule targeting must match the identity and enforcement point used in the environment. NetLimiter ties limits to processes and individual connections on Windows, while SoftPerfect Bandwidth Manager ties limits to per-user and per-computer identities using IP, hostnames, and application selection.
Centralized policy application across endpoints or network devices
Centralized policy management reduces drift when multiple sites or many assets must share the same throttling intent. NinjaOne Bandwidth Management applies bandwidth management policy rules to selected endpoints from the NinjaOne console, while Tufin Orchestration Suite centralizes governed workflows across security and routing domains.
Automation and event-driven action pipelines
Automation should connect live telemetry to throttling changes so enforcement reacts to congestion instead of relying on manual recalculation. PRTG Network Monitor uses sensor-driven bandwidth monitoring with alert-driven workflow hooks tied to thresholds, while ManageEngine OpManager supports auto-throttling actions triggered by performance thresholds.
Change governance with impact analysis and policy validation
Governance controls matter when throttling rules touch firewalls, load balancers, and other enforcement points where mistakes are costly. Tufin Orchestration Suite adds impact analysis and policy consistency checks before enforcement changes so throttling rule updates can be validated instead of pushed blindly.
Throughput verification with live monitoring of enforcement outcomes
Throttling must be validated quickly after changes so rules can be corrected without prolonged guesswork. NetLimiter pairs rate rules with real-time traffic monitoring using live graphs and connection lists, while LibreNMS provides near real-time interface throughput graphs and threshold alerting for SNMP-monitored links.
Router or firewall queue and traffic control enforcement
Some deployments require enforcement at the network edge using per-interface queues and rule-driven packet handling. OpenWrt uses Linux traffic control with SQM and fq_codel for latency-aware congestion control, while pfSense applies per-interface traffic shaping through queueing controlled through firewall states.
A decision framework for selecting throttling control that matches enforcement reality
Start by matching the rule target type to where enforcement can actually happen in the environment. NetLimiter is the best fit when bandwidth limits must follow a local Windows process or connection, while SoftPerfect Bandwidth Manager fits when quotas must follow client identity such as per-IP and per-host.
Then verify that the chosen tool provides the governance and automation surface required for ongoing change. Tufin Orchestration Suite and NinjaOne Bandwidth Management are suited for centralized workflows, while PRTG Network Monitor and ManageEngine OpManager suit teams that already operate monitoring-driven operations and want threshold-triggered throttling coordination.
Map the throttling intent to the enforcement boundary
Pick NetLimiter when throttling must attach to per-process upload and download limits on Windows because its rule targeting is designed for application traffic and per-connection visibility. Pick SoftPerfect Bandwidth Manager when throttling must attach to per-user or per-computer identities using IP, hostnames, and application selection for Windows networks.
Choose the policy execution model: centralized endpoint control or orchestrated change
Use NinjaOne Bandwidth Management when managed endpoints should receive throttling configurations from a central NinjaOne console so manual per-device changes are avoided. Use Tufin Orchestration Suite when throttling changes must follow governed workflows with impact analysis and policy validation across multiple security and routing enforcement points.
Plan automation so congestion signals become throttling actions
Use PRTG Network Monitor when bandwidth metrics from sensors and SNMP-style counters must trigger bandwidth-related corrective actions through alert workflows. Use ManageEngine OpManager when auto-throttling actions triggered by OpManager performance thresholds should coordinate changes across many segments from a single operational console.
Validate enforcement quickly with the tool’s monitoring signals
Choose NetLimiter when live graphs and connection lists are required to confirm throttling behavior immediately after rules are toggled. Choose LibreNMS when interface-level throughput graphs and threshold alerting are needed to validate throttling planning and effects on SNMP-monitored links.
If enforcement is network-edge, select traffic-control mechanics that match link behavior
Use OpenWrt when SQM with fq_codel and Linux traffic control should manage queues to improve latency during congestion while shaping per interface and per flow. Use pfSense when per-interface shaping using queue-based traffic control driven by firewall rules must provide rule-driven enforcement at the network edge.
Which teams get measurable control instead of indirect monitoring-only behavior
Bandwidth throttling tools split into two practical modes based on enforcement control versus monitoring-led coordination. Some tools enforce throttling directly using local process controls or router queueing, while others monitor congestion and coordinate actions through workflow automation.
The best fit depends on whether the throttling identity is a process, a client, an endpoint, or a network interface or flow.
Windows operations needing fast per-app and per-connection throttling with immediate verification
NetLimiter suits these teams because it enforces separate download and upload limits per process and provides real-time traffic monitoring with live graphs and connection lists.
Network admins on Windows networks needing per-client quotas with scheduling
SoftPerfect Bandwidth Manager fits because it applies bandwidth quotas per user and per computer and supports time-based scheduling with rule logic tied to IP, hostnames, and application selection.
IT teams standardizing endpoint bandwidth limits across many managed devices
NinjaOne Bandwidth Management fits because it applies bandwidth management policy rules to selected endpoints from the NinjaOne console and centralizes consistent throttling configuration.
Enterprises requiring governed change workflows for throttling across security and routing systems
Tufin Orchestration Suite fits because it automates throttling-related policy changes with impact analysis and policy consistency checks to prevent drift and invalid updates.
Home and small office networks needing router-level queue control for latency under congestion
OpenWrt and pfSense fit because OpenWrt provides SQM with fq_codel for smart queue management and pfSense provides per-interface traffic shaping using queue-based traffic control controlled through firewall states.
Common throttling selection errors that cause ineffective control or hard-to-debug changes
Misalignment between the identity model and the enforcement boundary causes throttling rules that do not match actual traffic flows. Windows-only control in NetLimiter and Windows-focused management in SoftPerfect Bandwidth Manager can also limit fit when the environment is not primarily Windows.
Another mistake is assuming monitoring platforms include native traffic shaping enforcement. PRTG Network Monitor, LibreNMS, and OpenNMS focus on monitoring and alerting so throttling enforcement depends on external QoS or device-side configuration.
Selecting a monitoring-first tool and expecting built-in traffic shaping
Choose traffic-control and enforcement-capable tools when direct throttling is required because LibreNMS and OpenNMS do not provide a built-in bandwidth throttling engine. For direct shaping, use OpenWrt SQM with fq_codel or pfSense per-interface queues, and for process targeting use NetLimiter.
Designing throttling rules against the wrong identity model
Avoid building rules around processes when the requirement is per-client quotas and schedules, because SoftPerfect Bandwidth Manager expects client identities like IP and hostnames for its policy targeting. Avoid designing client-based quotas when only process-level control exists, because NetLimiter enforces per-process and per-connection limits rather than user or computer quotas.
Skipping governance when throttling changes touch multiple enforcement points
Do not push throttling updates manually across firewalls and related security devices without impact analysis when consistency checks are needed. Use Tufin Orchestration Suite for policy validation and change workflows that include impact analysis.
Applying throttling policies without a validation loop
Avoid making throttling changes without a way to confirm enforcement outcomes immediately because debugging becomes slower. Use NetLimiter live graphs and connection lists or LibreNMS near real-time interface throughput graphs to validate effects after rule changes.
How We Selected and Ranked These Tools
We evaluated NetLimiter, SoftPerfect Bandwidth Manager, NinjaOne Bandwidth Management, PRTG Network Monitor, Tufin Orchestration Suite, ManageEngine OpManager, LibreNMS, OpenNMS, OpenWrt, and pfSense using the same editorial criteria across integration depth, data model clarity, automation and action pathways, and governance and admin control signals. Each tool received an overall score synthesized from three areas where features carry the most weight at 40% while ease of use and value each account for 30%.
This criteria-based scoring used only the capabilities described in the provided tool records, which avoids claiming hands-on lab results. NetLimiter separated itself from lower-ranked tools because it enforces per-process upload and download limits and pairs those rules with real-time traffic monitoring using live graphs and connection visibility, which lifted the features and ease-of-verification parts of the score.
Frequently Asked Questions About Bandwidth Throttling Software
How do NetLimiter and SoftPerfect differ in how they identify and throttle traffic?
Which tools support centralized policy management across many endpoints without manual device changes?
What is the best fit for bandwidth throttling workflows that require change control and auditing?
Can monitoring platforms like LibreNMS or OpenNMS trigger throttling actions?
How do OpenWrt and pfSense implement throttling, and what control granularity should be expected?
When throttling needs to be data-driven, which options connect telemetry to enforcement?
What are common integration constraints when bandwidth throttling must match security policy or routing intent?
How should teams decide between per-process, per-user, and router-level throttling?
What configuration steps usually cause throttling mismatches between expected and observed throughput?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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