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Market/Categories/Developer & AI Platform/OpenNN

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

OpenNNopennn.net

OpenNN is an open-source C++ library for developing and implementing high-performance neural networks in machine learning projects.

Developer & AI Platformopennn.netTracked since 2026-08-211 discovery source
2.6KBacklinks
542Referring domains
21Domain authority
-8.6%Referring domains · 90 days

Authority & distribution

How strong is OpenNN’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

2.6KCurrent snapshot

Referring domains

542Current snapshot

Authority

21Domain authority · category median 22

90-day move

-8.6%Referring domains, last 90 days
At 21, OpenNN sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

See the trajectoryOpen the full profile

Traffic & engagement

Where OpenNN ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending OpenNN traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What OpenNN is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“OpenNN”

OpenNN is an open-source C++ library for developing and implementing high-performance neural networks in machine learning projects.

Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://www.opennn.net

Observed across 1 discovery source.

Research questions

What the evidence answers about OpenNN.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What is the main purpose of OpenNN?

OpenNN is an open-source C++ library for developing and implementing high-performance neural networks in machine learning projects. It is designed to solve real-world applications in fields like energy, marketing, and health.

What types of neural network architectures does OpenNN provide?

OpenNN provides several neural network architectures including Dense Neural Networks for tabular data, LSTM Networks for time series, Convolutional Networks for spatial patterns, and Transformers for sequences and language modeling.

Who is the primary audience for OpenNN?

OpenNN is a developer tool for individuals and teams working on machine learning projects, particularly those needing high-performance models. It is developed by a consulting company, Artelnics, which also serves enterprise customers.

What are the key technical features of the OpenNN library?

The library is written in C++ and is free of external dependencies, allowing it to train and run models on both CPU and GPU for high performance.

Is there a software tool built on top of OpenNN?

Yes, Neural Designer is a software tool developed from OpenNN that provides a user interface for building neural network models without programming.

What is OpenNN?

OpenNN is an open-source C++ library for developing and implementing high-performance neural networks in machine learning projects.

Behind the lock

Unlock full OpenNN intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured