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OSS observability
Best for on-call / platform teams who will stay on Free $0 (3 GB/mo, 3-day retention, 1 user) or self-host while they…
Pricing. Free — $0/month.
Decide
Full notes belowHyperDX Intro — official HyperDX channel. Official HyperDX product intro.

IDE pair programmer with chat and completions
Best for Code / Agents

AI-native VS Code fork with Agent and Tab
Best for Code / Agents

Hub for open models, datasets, and Spaces
Best for Open-source / Self-host · Code / Agents
HyperDX is an open-source observability desk: you search a log, open a trace waterfall, and Cloud Free is $0/month (3 GB/mo, 3-day retention, 1 user). Use it when the job is traces you start at $0, not when you need a $20 chat seat.
What makes it unique: the cover is the official HyperDX Demo traces waterfall (POST /checkout spans, span details, Lucene search) from the GitHub still — not a pricing card. The waterfall itself is ops of Traces.
GB is the Cloud meter (uncompressed logs + traces + sessions). Users and hosts print $0 extra on paid plans. Errors on the marketing line are a log/exception view of Logs — do not count them separately.
Best fit: on-call / platform teams who will stay on Free $0 (3 GB/mo, 3-day retention, 1 user) or self-host while they open a first Demo trace, then buy Starter at $20/month when they need 50 GB/mo, 30-day retention, and unlimited users.
Verified 2026-10-22 (Asia/Shanghai) from hyperdx.io/pricing. “Pay based on your data usage only, no per-seat or per-host billing.”
Confirm checkout; taxes follow your location.
Official HyperDX channel video: HyperDX Intro (oEmbed author: HyperDX). First-party product intro; the Demo traces waterfall is the cover. Do not embed @hyperdx (a different FM-radio handle).
Written path: hyperdx.io/pricing plus the traces still.
https://github.com/hyperdxio/hyperdx
Catalog row curated for AI Tools Nav. Cover is the official HyperDX Demo traces waterfall from the project still. Dollars checked on hyperdx.io/pricing (Free $0 / 3 GB; Starter $20 / 50 GB then $0.40/GB; metrics $0.40/100 DPM). Tutorial oEmbed author: HyperDX (@hyperdxio).
2026-10-22 (Asia/Shanghai) editorial check.