Omni
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Comparison · Analytics
OpenObserve vs stacks
A side-by-side editorial comparison of OpenObserve and stacks — release velocity, themes, recent moves, and the top alternatives to consider.
OpenObserve vs stacks: at a glance
What is OpenObserve?
After its largest release, OpenObserve is patching the seams.
v0.92.0 landed on 7 August with 836 commits and three new product surfaces - synthetic monitoring, Workflows v1, and an expanded AI observability set - after a long RC series. The two releases since are small: v0.92.1 fixed alert HAVING clause typing and put the MCP server setup page on the OSS build, and v0.92.2 adds a compactor delay setting and backports an MCP 404 fix for deployments running under a base URI. The 0.91 line is still receiving its own backports.
What is stacks?
Model stacking in tidymodels, quietly migrating off foreach and onto future
stacks builds ensembles from tidymodels tuning results, and its release history is dominated by one long project: replacing foreach-based parallelism with the future framework. That transition completed in 1.1.0, where foreach backends began being ignored with a warning and the minimum R version rose to 4.1. Releases are infrequent and small, with the most recent being a CRAN re-submission rather than a change.
OpenObserve vs stacks: editorial side-by-side
OpenObserve
6.3ANALYTICS
After its largest release, OpenObserve is patching the seams.
◆ Current state
v0.92.0 landed on 7 August with 836 commits and three new product surfaces - synthetic monitoring, Workflows v1, and an expanded AI observability set - after a long RC series. The two releases since are small: v0.92.1 fixed alert HAVING clause typing and put the MCP server setup page on the OSS build, and v0.92.2 adds a compactor delay setting and backports an MCP 404 fix for deployments running under a base URI. The 0.91 line is still receiving its own backports.
◆ Where it's heading
OpenObserve is trying to become the whole monitoring stack rather than the storage layer under one. Synthetic checks, incident workflows, and SLO measurement each replace a separate tool, and incident ingestion from external alert sources hedges the migration path for teams that cannot switch all at once. The MCP work running alongside - open sourced, then given a setup page in the OSS build, then fixed for base-URI deployments - shows the same data being aimed at agent clients rather than dashboards.
◆ Prediction
The post-GA patches are still landing on the new surfaces, so expect another 0.92.x before feature work resumes - most likely hardening synthetic monitoring and Workflows, which are the two least-exercised additions.
stacks
0.0ANALYTICS
Model stacking in tidymodels, quietly migrating off foreach and onto future
◆ Current state
stacks builds ensembles from tidymodels tuning results, and its release history is dominated by one long project: replacing foreach-based parallelism with the future framework. That transition completed in 1.1.0, where foreach backends began being ignored with a warning and the minimum R version rose to 4.1. Releases are infrequent and small, with the most recent being a CRAN re-submission rather than a change.
◆ Where it's heading
The package is mature and its remaining work is compatibility rather than capability — tracking the parallelism story across tidymodels, keeping object sizes sane after butchering and reloading, and staying aligned with recipes deprecations. The augment() method added for vetiver compatibility shows the same instinct: fit into the surrounding ecosystem rather than grow independently of it. Nothing in the visible history suggests new ensembling methods are being pursued.
◆ Prediction
With the future migration finished, the next release is most likely maintenance keeping pace with tune and recipes rather than anything users would notice.
Alternatives to OpenObserve and stacks
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 OpenObserve or stacks.
silx
silx settles into maintenance a release after its PySide6 migration
Plotly
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
aniread
aniread stops asking you to know which tracker wrote the file
Rho
Rho's release machinery finally produced a stable build — and it shipped no new product.
Usermaven
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
See all OpenObserve alternatives → · See all stacks alternatives →
Recent activity from OpenObserve and stacks
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoOpenObservev0.92.2: compactor delay setting and an MCP base-URI fix
- 5d agoOpenObservev0.92.1 brings the MCP server setup page to the OSS build
- 11d agoOpenObservev0.92.0 adds synthetic monitoring, workflows, and AI observability ⚡
- 12d agoOpenObserveRelease candidate 4 backports fixes before the v0.92.0 GA
- 14d agoOpenObserveRC3 adds agent-level filters and parallel zstd compression
- 20d agoOpenObservev0.91.5 patches an RBAC migration and a layout bug
- 1y agostacksstacks 1.1.1 re-released to clear a CRAN check note
- 1y agostacksstacks 1.1.0 completes the move to future-based parallelism
- 2y agostacksstacks 1.0.5 fixes butchered stack size inflation
- 2y agostacksstacks 1.0.4 introduces future-based parallel processing
- 2y agostacksstacks 1.0.3 clears recipes deprecations and a type-check bug
- 3y agostacksstacks 1.0.2 adds an augment() method for vetiver compatibility
Frequently asked questions
What is the difference between OpenObserve and stacks?
They serve adjacent needs but don't currently overlap on shipped themes. OpenObserve is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 OpenObserve better than stacks?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenObserve is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 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.
What are the best alternatives to stacks?
Top stacks alternatives in Analytics are ranked by recent ship velocity. Browse the "stacks alternatives" section above for the current picks, or visit /alternatives/stacks for the full list with editorial commentary on each.