AiPy is an open-source, task-oriented AI assistant that uses Large Language Models (LLMs) to understand user requests, generate Python code, and execute it locally to automate tasks and deliver results.
Developer & AI Platformaipy.appTracked since 2026-08-211 discovery source
14.5KBacklinks
82Referring domains
22Domain authority
+5.6%Referring domains · 90 days
Authority & distribution
How strong is AiPy’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
14.5KCurrent snapshot
Referring domains
82Current snapshot
Authority
22Domain authority · category median 22
90-day move
+5.6%Referring domains, last 90 days
At 22, AiPy sits above 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.
Traffic makes more sense when you can connect it to the actual product promise.
“AiPy”
AiPy is an open-source, task-oriented AI assistant that uses Large Language Models (LLMs) to understand user requests, generate Python code, and execute it locally to automate tasks and deliver results.
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.aipy.app
Observed across 1 discovery source.
Research questions
What the evidence answers about AiPy.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What are the main use cases or tasks that AiPy can automate?
AiPy can automate a wide range of tasks, including controlling mobile phones, creating games like Tetris, reviewing purchase contracts, controlling local network printers, and extracting speech from video files. The homepage provides real-world demos showing these use cases.
What platforms and operating systems does AiPy support?
AiPy offers desktop versions for multiple platforms, including Windows (supporting Win10 and Win11), Linux, and Mac for both Apple and Intel chips.
Is AiPy open-source?
Yes, AiPy is described as an open-source tool. The product description explicitly states it is an 'open-source, task-oriented AI assistant'.
What is AiPy and what does it do?
AiPy is an open-source, task-oriented AI assistant that uses Large Language Models (LLMs) to understand user requests, generate Python code, and execute it locally to automate tasks. It aims to help users think, execute, and deliver results by handling repetitive work.
Who is AiPy designed for?
AiPy is primarily designed for developers. This is indicated by its classification in the 'Developer & AI Platform' category and its core functionality involving Python code generation and local execution.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full AiPy 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