Suped

DMARCEye vs.
Open-DMARC-Analyzer in 2026

DMARCEye dashboard screenshot
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DMARCEye
Open-DMARC-Analyzer dashboard screenshot
github.com logo
Open-DMARC-Analyzer
vs.
We tested DMARCeye and Open-DMARC-Analyzer for 90 days across a corporate domain, a marketing subdomain, and a parked domain. DMARCeye was faster for a team that wants hosted DMARC reporting, sender labels, and alerting; Open-DMARC-Analyzer made more sense for operators who want $0 software and accept database, parser, and hosting work.
Published 5 Nov 2025
Updated 2 Jun 2026
8 min read
Summarize with
dmarceye.com logo
DMARCEye
Hosted DMARC reporting for SMBs and agencies
Starts at
Free plan available
Best fit
Teams that want quick DMARC visibility without running infrastructure
In one line
DMARCeye grouped our Microsoft 365, Google Workspace, SendGrid, and Mailchimp traffic into usable sender views, with alerts and blacklist/blocklist monitoring on paid tiers.
github.com logo
Open-DMARC-Analyzer
Self-hosted DMARC aggregate report analyzer
Starts at
$0 software license
Best fit
Technical teams that already run PHP, a database, and a DMARC parser
In one line
Open-DMARC-Analyzer gave us raw control over parsed aggregate reports, but source identification, guided fixes, alert quality, MSP workflows, and published starter pricing stayed separate buying criteria.
suped.com logo
Suped
The third option. Hosted SPF, DMARC, and MTA-STS on every plan. Published pricing. Monthly plans. No long contract required.
Learn about Suped

Use DMARCeye for hosted reporting, use Open-DMARC-Analyzer when self-hosting is the point

Pick DMARCEye if
Best for SMB and agency teams that want hosted DMARC reporting with clear sender drilldowns
We added the corporate domain, marketing subdomain, and parked domain without building a parser pipeline.
Microsoft 365 and Google Workspace were grouped into recognizable sender views, which made owner review faster.
The spoof sample and SendGrid visible From mismatch were easier to explain through DMARCeye's alert and drilldown views.
Free plan available
Pick Open-DMARC-Analyzer if
Best for technical operators that want no license fee and full self-hosted control
The $0 software cost was real, but we still needed hosting, database, parser, TLS, backups, and maintenance.
The dashboard was useful after parsed reports landed in the database, especially for disposition and authentication rows.
The unknown sender, forwarded SPF failure, and client handoff steps all needed manual analysis outside the product.
Free plan available
Consider Suped if
Suped's product is the third option when guided fixes, hosted records, and simpler ownership matter
Use guided fixes when a source owner needs exact DNS or vendor-side next steps.
Use automated issue detection and tighter alerts when unknown senders should not wait for manual review.
Use MSP workflows and published starter pricing when client separation and predictable quoting matter.
Free plan available

The differences that actually change your week

dmarceye.com logo
DMARCEye
github.com logo
Open-DMARC-Analyzer
suped.com logo
Suped
DMARC report analysis
Aggregate report parsing, grouping, and review workflow.
Hosted reporting
Self-hosted reports
Supported
Source detection
Turning IPs and domains into recognizable sending services.
Recognized common senders
Manual classification
Supported
Forward detection
Separating forwarded mail from broken authentication.
Detected by pattern
Manual workflow
Supported
Spoof detection
Flagging unauthorized mail that fails DMARC.
Alerted in test
Visible in reports
Supported
Notifications and alerts
Operational notices for failures, spikes, and new senders.
Paid tier alerts
Not tested
Supported
Reporting
Exports, recurring views, and stakeholder-ready reporting.
Exports and dashboards
Dashboard reporting
Supported
API
Programmatic access for reporting and operations.
Paid tier
No product API
Supported
Multi-tenancy
Account separation for clients, business units, or brands.
Agency tier
Manual separation
Supported
SPF flattening
Managed SPF optimization for DNS lookup limits.
Not supported
Not supported
Supported
Hosted DMARC
Managing the DMARC record through the platform.
Reporting only
Reporting only
Supported
Hosted SPF
Hosted SPF record management and record updates.
Not supported
Not supported
Supported
Hosted MTA-STS
Managed MTA-STS policy and TLS reporting workflow.
Not supported
Parser-related only
Supported
Blocklists and reputation
Blacklist/blocklist and reputation checks tied to email operations.
Included by tier
Not supported
Supported
Automatic issue detection
Finding new or risky authentication problems without manual scans.
AI monitoring
Manual workflow
Supported
AI copilot
Assisted interpretation of DMARC errors and source behavior.
AI monitoring
Not supported
Supported
DNS monitoring
Checks for relevant DNS record state and changes.
DMARC record checks
External process
Supported
Self hostable
Ability to run the product on your own infrastructure.
Hosted SaaS
Self-hosted
Not self-hostable
Free trial/free tier
No-cost entry point for evaluation or low-volume use.
Free tier and trial
$0 software
Supported

Ten dimensions, scored from 0 to 10

We scored each product against a fixed editorial rubric after the same 90-day setup, using the same three domains, approved senders, authentication cases, and review tasks. Higher is better in every row.

DMARCeye scored higher on hosted DMARC operations; Open-DMARC-Analyzer scored higher only where self-hosted control mattered.

DMARCeye gave us faster setup, clearer sender naming, alerting, and blacklist/blocklist monitoring, but it did not manage hosted DMARC, SPF, or MTA-STS records. Open-DMARC-Analyzer showed useful aggregate report data after the database was populated, but unknown sender classification, forwarding context, alerts, MSP workflows, and enforcement planning remained manual. Pricing transparency is good for both in different ways: DMARCeye publishes low-tier prices, while Open-DMARC-Analyzer has $0 software licensing but unpriced operating cost.
DMARCEye score
65.5/100
Open-DMARC-Analyzer score
23.5/100
dmarceye.com logo
DMARCEye
65.5/100
DMARC enforcement
7.0
Customer support
7.0
Source resolution
8.0
Setup and onboarding
8.0
MSP workflows
6.5
Alerting and integrations
6.5
Hosted SPF and MTA-STS
0.0
Blocklist monitoring
7.0
Pricing transparency
8.0
Time to enforcement
7.5
github.com logo
Open-DMARC-Analyzer
23.5/100
DMARC enforcement
3.0
Customer support
1.0
Source resolution
4.0
Setup and onboarding
3.0
MSP workflows
2.0
Alerting and integrations
0.0
Hosted SPF and MTA-STS
0.0
Blocklist monitoring
0.0
Pricing transparency
8.0
Time to enforcement
2.5

Feature set

Guidance vs self-hosted control

DMARCeye has the broader ready-made DMARC workflow; Open-DMARC-Analyzer has the cleaner self-hosting story.

DMARCeye gave us more finished workflow around sender review, alerts, blacklist/blocklist monitoring, and business reporting. Open-DMARC-Analyzer was useful once reports were parsed, but most interpretation lived outside the product. The buying criterion is whether the tool only explains what happened or also turns unknown senders and authentication failures into guided fixes with automated issue detection.
dmarceye.com logo
DMARCEye
DMARCEye screenshot
Microsoft 365 grouped cleanly
Mailchimp DKIM edge case
Unknown sender prompts
github.com logo
Open-DMARC-Analyzer
Open-DMARC-Analyzer screenshot
Google Workspace raw rows
SendGrid needed manual notes
Forwarded SPF needed context
DMARCeye recognized Microsoft 365 and Google Workspace quickly on the corporate domain and gave us useful drilldowns for SendGrid and Mailchimp on the marketing subdomain. The domain-matched SPF pass case was clear, the visible From mismatch on SendGrid was easier to spot than in raw XML, and the Mailchimp DKIM pass on a subdomain was presented as a sender-specific issue rather than a generic failure. The unknown sender still needed a human owner decision, but the source view gave us enough IP, domain, and volume context to classify it.
Open-DMARC-Analyzer showed accepted, quarantined, rejected, SPF, DKIM, and domain-match data once the parser had loaded reports into the database. Microsoft 365, Google Workspace, SendGrid, and Mailchimp were visible in the data, but the product did not consistently turn them into owner-ready service names during our test. The forwarded mail case looked like a normal SPF failure until we compared DKIM and disposition rows, and the unknown sender needed a manual note outside the dashboard.

User experience

Guided setup vs operator setup

DMARCeye is easier for business teams; Open-DMARC-Analyzer suits teams already running the stack.

DMARCeye made the three-domain setup feel like a normal SaaS onboarding job: add DNS, wait for aggregate reports, then review senders. Open-DMARC-Analyzer put the operator work first, including the web app, database, parser, security updates, and access controls. That control is valuable, but it changes who owns the project.
dmarceye.com logo
DMARCEye
DMARCEye screenshot
Three domains added quickly
Unknown sender filter worked
Forwarded mail explained partly
github.com logo
Open-DMARC-Analyzer
Open-DMARC-Analyzer screenshot
Parser setup came first
Unknown sender required notes
Forwarding needed manual review
In DMARCeye, the corporate domain, marketing subdomain, and parked domain were all active within the first day of report flow. We found the unknown sender by filtering low-volume sources on the parked domain, then used the sender detail page to compare IP, volume, SPF, DKIM, and disposition. The forwarded mail with SPF failure was not fully explained in plain language, but the DKIM pass and DMARC pass context made the case easier to brief to a non-specialist owner.
In Open-DMARC-Analyzer, onboarding started with infrastructure rather than the domains. We had to make sure the parser, database tables, web app, TLS, and report ingestion path were working before the three test domains produced useful views. Finding the unknown sender meant scanning source rows and adding our own classification notes, and explaining the forwarded SPF failure required a separate written explanation for the support desk owner.

Support

Hands-on help vs self-managed support

DMARCeye has clearer vendor support paths; Open-DMARC-Analyzer depends on internal ownership.

DMARCeye's support path was better for setup questions, DNS handoff, and paid-plan escalation. Open-DMARC-Analyzer followed the open-source support model, so the practical support plan was documentation, repository history, and our own administrator time. For enterprise onboarding, DMARCeye had a clearer commercial path than Open-DMARC-Analyzer.
dmarceye.com logo
DMARCEye
DMARCEye screenshot
DNS handoff copy was clear
Priority support on paid plans
Agency path for clients
github.com logo
Open-DMARC-Analyzer
Open-DMARC-Analyzer screenshot
Community support model
No vendor escalation
Docs required admin skill
During setup, DMARCeye gave us clean DNS instructions for the three domains and enough context to hand the RUA record change to a DNS owner without a long explanation. Paid tiers added priority support, and the Agency path was the clearest route for multi-client onboarding and escalation. The gap was DNS execution: when the DMARC policy or vendor DNS setting needed a change, we still had to make that change outside DMARCeye.
Open-DMARC-Analyzer did not give us a vendor support handoff, which is expected for a self-hosted GPL project. Setup help depended on project documentation and our ability to troubleshoot PHP, database access, parser input, web server configuration, TLS, and backups. For enterprise teams, that means support quality depends on internal administrators or a separate operations process.

Suitability

SMB speed vs operator control

DMARCeye fits SMBs, agencies, and lean security teams; Open-DMARC-Analyzer fits infrastructure-led teams.

DMARCeye is the better fit when business owners need sender classification, recurring review, and a vendor-backed path to support. Open-DMARC-Analyzer is the better fit when the buyer values self-hosting more than guided workflow. For MSP work, the buying criterion is whether client grouping, recurring reports, alert routing, and handoff notes are built into the workflow instead of handled manually.
dmarceye.com logo
DMARCEye
DMARCEye screenshot
Agency handles multi-tenancy
Scale suits single teams
Exports helped handoff
github.com logo
Open-DMARC-Analyzer
Open-DMARC-Analyzer screenshot
Self-hosters control data
Client grouping is manual
Reports need operator work
DMARCeye fit our SMB-style corporate domain best, then remained workable for the marketing subdomain because SendGrid and Mailchimp activity was easy to separate. Account separation was weaker on the self-serve Scale path because multi-tenant architecture belongs to Agency, but exports and sender views were good enough for a basic stakeholder handoff. For enterprise use, we would expect a more formal onboarding and client grouping discussion before rolling out many domains.
Open-DMARC-Analyzer fit the infrastructure-owner profile more than the business-owner profile. It handled the parked domain and corporate domain data once reports were loaded, but account separation, domain grouping, recurring reporting, and client handoff depended on our own conventions. For MSPs, that means separate instances, custom reports, or manual notes unless the team builds a workflow around it.

What each tool feels like after 90 days of real use

dmarceye.com logo
DMARCEye

Hosted reporting for teams that want sender answers without building the system

After 90 days, DMARCeye felt like a practical DMARC reporting product for a small security or operations team. We were able to review Microsoft 365 and Google Workspace as approved corporate senders, keep SendGrid and Mailchimp separated on the marketing subdomain, and treat the parked domain as a clean tripwire for unexpected activity.
The best moments came when a source view saved explanation time. The spoof sample was obvious, the visible From mismatch in SendGrid had enough context for a sender owner, and the unknown sender was easier to triage because the report view gave us volume, IP, authentication state, and date range in one place. The weaker moments appeared when the fix required DNS management, hosted SPF, or a formal multi-client workflow outside the self-serve tier.
Where it wins
Fast three-domain onboarding
Readable sender grouping
Useful spoof sample alerting
Blacklist/blocklist monitoring included by tier
Where it lags
No hosted SPF workflow
No hosted DMARC record control
Multi-tenancy tied to Agency
Volume limits need confirmation
Pricing
Free plan, Scale from $4 / domain / month annual
Free tier
1 domain, 5k emails / month
Onboarding
Three domains active in one day
G2 rating
4.8 / 5
github.com logo
Open-DMARC-Analyzer

Self-hosted reporting for teams that want to own the stack

After 90 days, Open-DMARC-Analyzer felt like a useful internal reporting viewer once the data pipeline was stable. It gave us the core aggregate report facts, including disposition, SPF result, DKIM result, and domain-match details across the corporate domain, marketing subdomain, and parked domain.
The operating cost was time. Microsoft 365, Google Workspace, SendGrid, Mailchimp, and the support desk sender all needed manual ownership notes, and the forwarded SPF failure needed a separate explanation so it was not mistaken for a broken sender setup. The tool worked best when an administrator already owned the parser, database, backups, access control, and update process.
Where it wins
$0 software license
Full self-hosted control
Useful disposition reporting
No published domain limit
Where it lags
No vendor support path
Manual sender ownership
No alerting workflow tested
Infrastructure maintenance required
Pricing
$0 software, self-hosting costs
Free tier
Free self-hosted software
Onboarding
Requires app, database, and parser
G2 rating
0 / 5

Pricing

dmarceye.com logo
DMARCEye
github.com logo
Open-DMARC-Analyzer
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Suped
Small
1 domain, up to 1k emails / month.
$0
DMARCeye Free covers one low-volume domain and 30 days of data history.
$0 software
Open-DMARC-Analyzer has no license fee, but hosting and maintenance still apply.
$0 / month
Free plan covers 1 domain and 1,000 monthly emails.
Medium
2 domains, up to 100k emails / month.
$8 / month
Estimated on Scale annual pricing at $4 per domain per month.
$0 software
Software remains free, with server, database, parser, and admin time outside the price.
Entry plan covers 2 domains and 100,000 monthly emails, with 90 days retention.
Large
10 domains, up to 1 million emails / month.
$40 / month
Estimated on Scale annual pricing for 10 domain slots, subject to live volume limits.
$0 software
No published software limit, but capacity depends on infrastructure and database maintenance.
10 domains and 1,000,000 monthly emails, with 365 days retention.
Enterprise
Over 20 domains and 1 million emails / month.
Custom
DMARCeye points larger or high-volume portfolios to Agency custom pricing.
$0 software
No paid enterprise tier was published, so support and scaling must be handled separately.
20 domains and 2,500,000 monthly emails, with 365 days retention. Unlimited domains/emails negotiable.
DMARCeye Free and Scale are public list prices, with Scale estimates based on $4 per domain per month when billed annually. DMARCeye Agency is custom. Open-DMARC-Analyzer pricing is $0 software licensing, with infrastructure and staff time excluded. Pricing was checked as of May 15, 2026.

If you cannot decide between the two, maybe the answer is Suped

Suped dashboard
Guided source ownership
DMARCeye classified common senders well, but the unknown sender still needed manual owner judgment. Suped's product ties sending sources to guided fixes and owner-ready next steps.
Hosted record work
Open-DMARC-Analyzer was useful only after the parser, database, and DNS process were maintained elsewhere. Suped's product adds hosted SPF, hosted DMARC, and hosted MTA-STS workflows for teams that want the record work managed in one place.
MSP handoff and alerts
DMARCeye reserved multi-tenancy for Agency and Open-DMARC-Analyzer needed manual client separation. Suped's product supports MSP workflows, alert routing, and recurring handoff reports.
The difference was significant. We moved from limited visibility to a much clearer dashboard. Being able to see specific services like Stripe, rather than generic providers like Amazon SES, helps us resolve email authentication issues faster.
Markus Hugenschmidt, Managing Director, Jam Cyber
Markus Hugenschmidt, Managing Director, Jam Cyber
Migrating from DMARCEye or Open-DMARC-Analyzer?
We have done the migration enough times to know the shape.
Get started
Step 01
Add domains
Connect the domains you send from and see what is already passing, failing, or missing.
Step 02
Run in parallel
Keep the old setup live while Suped checks alignment, hosts records, and shows what still needs work.
Step 03
Cancel old
Move the remaining work into Suped, keep monitoring in one place, and remove the tools you no longer need.

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What you'll get with Suped
Real-time DMARC report monitoring and analysis
Automated alerts for authentication failures
Clear recommendations to improve email deliverability
Protection against phishing and domain spoofing