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Point85 OEE vs sfHawk OEE Monitoring

Both stand on overall equipment effectiveness software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Point85 OEE

Free plan AndroidiPhoneLinux+4

Point85 OEE combines configurable equipment data collection with OEE monitoring and operator applications. Its many listed input sources and database options may suit teams with varied manufacturing systems.

Visit Point85 OEE

sfHawk OEE Monitoring

Paid Self-hostedWebWindows

sfHawk combines real-time OEE monitoring, downtime analysis, and edge data collection for production equipment. Buyers should account for its server requirement, deployment timeline, and quote-based pricing.

Visit sfHawk OEE Monitoring

The facts

Point85 OEEsfHawk OEE Monitoring
Free planYesNot published
Open sourceNot publishedNot published
Runs onAndroid, iPhone, Linux, Mac, Self-hosted, Web, WindowsSelf-hosted, Web, Windows
Lowest paid planNot publishedFree or on request
Plans publishedNone1
MakerNot publishedNot published
Websitepoint85.github.iosfhawk.com
On overall equipment effectiveness software#3 of 24#23 of 24

Point85 OEE: what it does well

  • Free and open source.
  • Calculates OEE using a nine-category time-loss model.
  • Monitors availability, performance, and quality events.
  • Supports numerous listed data collection sources.
  • Includes desktop, web, and mobile operator apps.

What to know first

  • Web operator app requires a WAR-compatible web server.
  • Collector runs as a Windows service or Unix daemon.
  • Relational database storage is used for equipment events.

sfHawk OEE Monitoring: what it does well

  • Tracks OEE by machine and job.
  • Filters dashboards by operator, shift, or part number.
  • Edge storage buffers data during internet downtime.
  • Can deploy on premises or in the cloud.
  • Includes operator, supervisor, and administrator training.

What to know first

  • Pricing depends on connected machines and deployed modules.
  • Services require a Windows server.
  • Typical 20–30 machine deployment takes 6–8 weeks.

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