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Comparison · Analytics
OpenObserve vs probably
A side-by-side editorial comparison of OpenObserve and probably — release velocity, themes, recent moves, and the top alternatives to consider.
OpenObserve vs probably: 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 probably?
The package that made calibration a step instead of an afterthought.
probably started as a small utility for class predictions and equivocal zones, and version 1.0.0 turned it into tidymodels' calibration and uncertainty package: cal_plot_*, cal_estimate_*, cal_validate_* and cal_apply across binary, multiclass and regression problems, plus conformal prediction intervals. Since then the work has been consolidation — a large internal refactor with no API change, split conformal and conformal quantile regression, bound_prediction(), and required_pkgs() and butcher methods so conformal objects can be deployed and stripped.
OpenObserve vs probably: 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.
probably
0.0ANALYTICS
The package that made calibration a step instead of an afterthought.
◆ Current state
probably started as a small utility for class predictions and equivocal zones, and version 1.0.0 turned it into tidymodels' calibration and uncertainty package: cal_plot_*, cal_estimate_*, cal_validate_* and cal_apply across binary, multiclass and regression problems, plus conformal prediction intervals. Since then the work has been consolidation — a large internal refactor with no API change, split conformal and conformal quantile regression, bound_prediction(), and required_pkgs() and butcher methods so conformal objects can be deployed and stripped.
◆ Where it's heading
The recent releases are about making these objects survive leaving the session. butcher and required_pkgs() methods are what a model needs to be pinned, containerised and served, and their arrival alongside workflows adding a tailor postprocessing stage and vetiver adding probably support points the same way: calibration is being moved out of analysis scripts and into the deployed pipeline. The cal_*_none() reference implementations are the tell that calibration is now something people tune rather than apply once.
◆ Prediction
Expect the calibration functions to be reachable directly from a tuned workflow's postprocessing stage rather than applied to predictions afterwards, following the tailor integration that workflows just shipped.
Alternatives to OpenObserve and probably
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 probably.
Omni
Omni ships weekly, and almost every week the headline item is an AI feature.
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.
See all OpenObserve alternatives → · See all probably alternatives →
Recent activity from OpenObserve and probably
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
- 12d 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
- 10mo agoprobablyConformal objects gain required_pkgs() and butcher methods
- 1y agoprobablyggplot2 test updates and a clearer validation-set error
- 1y agoprobablyCalibration internals refactored; isotonic bootstrap bug fixed
- 2y agoprobablyFix grouping sensitivity to variable type
- 3y agoprobablySplit conformal and conformal quantile regression added
- 3y agoprobablyCalibration and conformal inference arrive in tidymodels ⚡
Frequently asked questions
What is the difference between OpenObserve and probably?
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 probably?
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 probably?
Top probably alternatives in Analytics are ranked by recent ship velocity. Browse the "probably alternatives" section above for the current picks, or visit /alternatives/probably for the full list with editorial commentary on each.