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Paralleliq

Identifies idle GPU capacity and tier mismatches in inference fleets to reduce cost per token without touching production.

At a glanceswept 2026-09-18
Price
Price not read
Use
Emerging≈ 24 visits a month · estimate, 2026-09
Activity
Maintainednothing dated on the site
Company
founding year not on record
Alternatives in Developer toolsby use, among tools still maintained
  • True WatchMonitors applications, infrastructure, and AI workloads with correlated telemetry and AI-assisted diagnostics.

    EstablishedActively maintained

    ≈ 183 visits/mo
  • World MonitorStreams geopolitical, shipping, market and infrastructure signals onto a live map with correlation alerts.

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  • OpenObserveIngests and correlates logs, metrics, and traces across infrastructure layers for incident investigation and root cause analysis.

    EstablishedActively maintained

    ≈ 4.6k visits/mo
  • MotadataUnified observability and IT service management platform combining infrastructure monitoring, application performance, and incident management.

    EstablishedActively maintained

    ≈ 18.5k visits/mo
  • OsuiteCollects logs, traces, and metrics across distributed systems with AI agents for root cause analysis and dashboard generation.

    EmergingActively maintained

    ≈ 2 visits/mo
  • PrismixAggregates live status, news, and model context protocol servers across 77 AI providers in one dashboard.

    EmergingActively maintained

    ≈ 1 visits/mo

All Developer tools tools →

Questions this page answers
  • What is Paralleliq?

    Identifies idle GPU capacity and tier mismatches in inference fleets to reduce cost per token without touching production.

  • Do people use Paralleliq?

    Emerging: ≈ 24 visits a month · estimate, 2026-09.

  • Is Paralleliq still maintained?

    Maintained.

  • What are alternatives to Paralleliq?

    In Developer tools, by use: True Watch, World Monitor, OpenObserve, Motadata, Osuite, Prismix.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.