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Comparison · Analytics

Glances vs OpenObserve

A side-by-side editorial comparison of Glances and OpenObserve — release velocity, themes, recent moves, and the top alternatives to consider.

Glances vs OpenObserve: at a glance

FeatureGlancesOpenObserve
SectorAnalyticsAnalytics
Velocity score2.56.3
Sparks · 30d00
Top themessystem monitoring, security audit, gpu monitoring, rest apiai-observability, observability, llm-monitoring, slos
Last editorial update1mo ago2d ago
WebsiteVisit →Visit →

What is Glances?

Every Glances release this year has carried CVE fixes — the monitoring tool is being audited in public.

Six releases since March, and all but one ship security patches. 4.5.2 alone corrected eight CVEs: CORS defaults allowing cross-origin credential theft, incomplete secrets redaction leaking password hashes and SNMP credentials through /api/v4/args, missing host validation leaving the REST API open to DNS rebinding, SQL injection in the DuckDB export, command injection through process names in action templates, and credential leakage via Zeroconf-spoofed browser autodiscovery. The pattern continues through 4.5.3, 4.5.4, 4.5.5 and 4.5.6, the last fixing a value-level bypass that leaked credentials embedded in URL config values. Alongside it, hardware coverage keeps widening — Intel and AMD GPUs, NVIDIA Jetson, Rockchip NPU and MPP, Raspberry Pi VideoCore.

Read the full Glances trajectory →

What is OpenObserve?

OpenObserve ships v1.0 GA with first-class AI observability for LLM workloads

OpenObserve reached its v1.0 general availability milestone this week after a six-week RC cycle, landing AI Observability as the headline feature — end-to-end monitoring for LLM and agent workloads including trace evaluations, annotation queues, an experiment workflow, and an agent service graph. The release also adds SLOs with burn-rate alerting, composite alerts, an alert library, Database Monitoring, and Synthetic Monitoring moved into the open-source build. The immediate v1.0.x patch releases (v1.0.1 through v1.0.3) have focused on PromQL correctness and alerting edge cases, the expected stabilization arc for a major GA.

Read the full OpenObserve trajectory →

Glances vs OpenObserve: editorial side-by-side

G
Glances
ANALYTICS
2.5

Every Glances release this year has carried CVE fixes — the monitoring tool is being audited in public.

◆ Current state

Six releases since March, and all but one ship security patches. 4.5.2 alone corrected eight CVEs: CORS defaults allowing cross-origin credential theft, incomplete secrets redaction leaking password hashes and SNMP credentials through /api/v4/args, missing host validation leaving the REST API open to DNS rebinding, SQL injection in the DuckDB export, command injection through process names in action templates, and credential leakage via Zeroconf-spoofed browser autodiscovery. The pattern continues through 4.5.3, 4.5.4, 4.5.5 and 4.5.6, the last fixing a value-level bypass that leaked credentials embedded in URL config values. Alongside it, hardware coverage keeps widening — Intel and AMD GPUs, NVIDIA Jetson, Rockchip NPU and MPP, Raspberry Pi VideoCore.

◆ Where it's heading

This is what it looks like when a tool that grew up as a local terminal dashboard gets taken seriously as a network service. Nearly every advisory in the window comes from the same root assumption — that the REST API, XML-RPC server and autodiscovery browser are on a trusted network — and the fixes are systematically removing that assumption: authentication warnings on startup, host validation, tighter CORS, redaction that covers values as well as keys. The feature work continues in parallel and is almost entirely about reading more kinds of hardware.

◆ Prediction

The advisories have moved from transport-level exposure toward data-level leaks in specific endpoints, which suggests the remaining audit surface is the export backends and config serialisation rather than the servers themselves. Expect the next release to follow the same shape: hardware plugin additions plus another round of endpoint fixes.

O
OpenObserve
ANALYTICS
6.3

OpenObserve ships v1.0 GA with first-class AI observability for LLM workloads

◆ Current state

OpenObserve reached its v1.0 general availability milestone this week after a six-week RC cycle, landing AI Observability as the headline feature — end-to-end monitoring for LLM and agent workloads including trace evaluations, annotation queues, an experiment workflow, and an agent service graph. The release also adds SLOs with burn-rate alerting, composite alerts, an alert library, Database Monitoring, and Synthetic Monitoring moved into the open-source build. The immediate v1.0.x patch releases (v1.0.1 through v1.0.3) have focused on PromQL correctness and alerting edge cases, the expected stabilization arc for a major GA.

◆ Where it's heading

OpenObserve is positioning as a full-stack observability platform with an explicit bet on AI/LLM workload monitoring — the v1.0.0 AI Observability surface shipped early and will need evaluation depth as teams start instrumenting production agents. The MCP Server addition to the OSS build and Database Monitoring signal continued surface expansion beyond logs/metrics/traces. Near-term releases will likely be stabilization, followed by deeper AI observability features as the LLM tooling matures across providers.

◆ Prediction

The next directional move is probably deeper AI observability capability — automated evaluations, broader LLM provider integrations, and richer scoring in the Playground. A monetization push around the AI and enterprise tiers seems likely as the 1.x line settles.

Alternatives to Glances and OpenObserve

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Glances or OpenObserve.

See all Glances alternatives → · See all OpenObserve alternatives →

Recent activity from Glances and OpenObserve

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3d agoOpenObserveRelease v1.0.3
  2. 3d agoOpenObservearchive/fix/anomaly-calibration
  3. 3d agoOpenObservearchive/fix/anomaly-bucket-completeness
  4. 4d agoOpenObserveRelease v1.0.2
  5. 5d agoOpenObserveRelease v1.0.1
  6. 6d agoOpenObservearchive/fix/anomaly-phase1h
  7. 1mo agoGlancesCredential leak via URL values in /api/4/config
  8. 3mo agoGlancesContainer API latency, ARM GPU monitoring, and an AMP command-execution fix
  9. 5mo agoGlancesRockchip MPP and NPU monitoring, plus three CVE corrections
  10. 5mo agoGlancesLXC/LXD support, ClickHouse export, and two CVE mitigations
  11. 6mo agoGlancesEight CVEs corrected in one release
  12. 6mo agoGlancesStability fixes, Intel GPU monitoring, and container health alerting

Frequently asked questions

What is the difference between Glances and OpenObserve?

They serve adjacent needs but don't currently overlap on shipped themes. OpenObserve is currently shipping more aggressively (velocity 6.3 vs 2.5), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Glances better than OpenObserve?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenObserve is currently shipping more aggressively (velocity 6.3 vs 2.5), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Glances?

Top Glances alternatives in Analytics are ranked by recent ship velocity. Browse the "Glances alternatives" section above for the current picks, or visit /alternatives/glances for the full list with editorial commentary on each.

What are the best alternatives to OpenObserve?

Top OpenObserve alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenObserve alternatives" section above for the current picks, or visit /alternatives/openobserve for the full list with editorial commentary on each.