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MP Gesture Lib
Detect hand gestures from a webcam in 3 lines of Python
An open-source Python library that wraps MediaPipe gesture recognition into an ultra-simple API. Detect hand gestures from webcam frames in just 3 lines of code! Supports finger counting (1-10), arithmetic gestures (plus, minus, multiply, divide, equal, clear), and custom ML models. Comes with a bundled gesture model out of the box with zero external setup. Fully compatible with all MediaPipe versions, from legacy to the latest 0.10.35+ release.
Hey PH!
👋 I built this after extracting gesture logic from my gesture-controlled calculator project. Kept reusing the same CV boilerplate across projects — decided to package it properly.
The bundled model handles arithmetic gestures. Finger counting (1–10) is pure geometry — no ML needed. Works with the latest mediapipe version.
Would love feedback on what gestures you'd want supported next! 🙏
About MP Gesture Lib on Product Hunt
“Detect hand gestures from a webcam in 3 lines of Python”
MP Gesture Lib was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #83 on the daily leaderboard. An open-source Python library that wraps MediaPipe gesture recognition into an ultra-simple API. Detect hand gestures from webcam frames in just 3 lines of code! Supports finger counting (1-10), arithmetic gestures (plus, minus, multiply, divide, equal, clear), and custom ML models. Comes with a bundled gesture model out of the box with zero external setup. Fully compatible with all MediaPipe versions, from legacy to the latest 0.10.35+ release.
On the analytics side, MP Gesture Lib competes within Developer Tools, GitHub and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how MP Gesture Lib performed against the three products that launched closest to it on the same day.
Who hunted MP Gesture Lib?
MP Gesture Lib was hunted by Debabrata Saha. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of MP Gesture Lib including community comment highlights and product details, visit the product overview.
Debabrata Saha