opulo-inc/lumenpnp

The LumenPnP is an open source pick and place machine.

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Summary Information

Updated 31 minutes ago
Added to GitGenius on September 19th, 2026
Created on April 22nd, 2020
Open Issues & Pull Requests: 70 (+0)
GitHub issues: Enabled
Number of forks: 502
Total Stargazers: 3,649 (+0)
Total Subscribers: 140 (+0)

Repository Insights (GitGenius)

Median issue/PR response: N/A
Mean response time: 7.8 hours
90th percentile: 0.0 hours
Tracked items: 23

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Issue Activity (beta)

Open issues: 20
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 450 days
Stale 30+ days: 20
Stale 90+ days: 19

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • area: cad (2)
  • area: pcb (2)
  • type: enhancement (2)
  • area: openpnp (1)
  • project: feeder (1)
  • resolution: wontfix (1)

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Detailed Description

LumenPnP is an open source pick and place machine that automates the assembly of electronic components onto circuit boards with reliability and accuracy.

The tool addresses the challenge of manual circuit board assembly by providing an automated system that can position and solder components at scale. The machine handles the repetitive task of picking components from feeders and placing them precisely on circuit board positions, eliminating the tedious manual work required in electronics manufacturing. The project includes both the machine itself and companion powered feeders designed to work with it, with source files available for both.

The LumenPnP suits makers, small manufacturers, and electronics hobbyists who need to assemble boards in volume but lack access to industrial pick and place equipment. It is practical for active production use, with machines already deployed in daily manufacturing workflows. The project offers both a path to build your own machine from source files and the option to purchase a completed unit. The wiki provides essential documentation covering project status, contribution guidelines, and frequently asked questions, while exported versions of designs, schematics, and binaries are available through releases.

The project maintains active community engagement through a dedicated Discord server where discussion and support happen. Development is documented transparently through a video series cataloging the machine's evolution. The team actively encourages bug reports and contributions from users who build or purchase machines, treating real-world deployment feedback as essential to the project's improvement.