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Malcolm Network Traffic Analysis Tool Suite icon

How much does Malcolm Network Traffic Analysis Tool Suite earn?

YouTube channel from @malcolmnetworktrafficanalysis · YouTube Channels

✓ Verified MRR ★ 1.5 · 934 💰 Free

~1/mo

Founder-verified via Stripe Connect or App Store Connect.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

📈 Malcolm Network Traffic Analysis Tool Suite's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

🏆 Where Malcolm Network Traffic Analysis Tool Suite sits in YouTube Channels

Revenue distribution of 685093 comparable apps. Malcolm Network Traffic Analysis Tool Suite highlighted.

📊 Malcolm Network Traffic Analysis Tool Suite vs comparable apps

Revenue trajectory side-by-side. Bold = Malcolm Network Traffic Analysis Tool Suite, ghosted = peers.

App spec

Launched
May 06, 2026
Price
Free
Monetization
Free

What Malcolm Network Traffic Analysis Tool Suite actually does (from store listing)

Malcolm is a powerful network traffic analysis tool suite with the following goals: • Easy to use • Powerful traffic analysis • Streamlined deployment • Secure communications • Permissive license • Expanding control systems visibility While the open source tools which make up Malcolm are already in general use, Malcolm provides a framework of interconnectivity making it greater than the sum of its parts. Its easy deployment and robust combination of tools fill a void in the network security sp…
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Comparable YouTube channels

The five apps in YouTube Channels with the closest revenue to Malcolm Network Traffic Analysis Tool Suite. Click any to see its detail page.

AppRevenueRatingRatings
Web Clips icon Web Clips 1 ★ 1.8 4K
Abdul icon Abdul 1 ★ 2.6 137K
Vaibhav Gattani icon Vaibhav Gattani 1 ★ 1.5 1K
Cinergie .be icon Cinergie .be 1 ★ 1.8 4K
Soccerballz icon Soccerballz 1 ★ 2.0 12K
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Malcolm Network Traffic Analysis Tool Suite's tracker page for current rating, reviews and snapshot timeline.

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