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Comparison · Analytics
Grafana Mimir vs hubVis
A side-by-side editorial comparison of Grafana Mimir and hubVis — release velocity, themes, recent moves, and the top alternatives to consider.
Grafana Mimir vs hubVis: at a glance
What is Grafana Mimir?
Mimir's feed is a weekly Helm bot, with the 3.2 candidate the only real release in months
The visible cadence is an automated weekly Helm chart release opened by a bot with a two-line body, now at 6.3.0-weekly.408. The only substantive entry in the window is the 3.2.0 release candidate from early August, which carried query engine work and native histogram support.
What is hubVis?
The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.
hubVis is the visualization component of the hubverse stack, centred on plot_step_ahead_model_output() for static and interactive forecast plots. Since the stable 0.1.0 in late 2024 it has shipped three patch releases, every one of them a single referenced issue fix. The plotting surface itself has not grown.
Grafana Mimir vs hubVis: editorial side-by-side
Grafana Mimir
5.0ANALYTICS
Mimir's feed is a weekly Helm bot, with the 3.2 candidate the only real release in months
◆ Current state
The visible cadence is an automated weekly Helm chart release opened by a bot with a two-line body, now at 6.3.0-weekly.408. The only substantive entry in the window is the 3.2.0 release candidate from early August, which carried query engine work and native histogram support.
◆ Where it's heading
Packaging and the engine move on separate clocks: the chart ships weekly regardless of whether anything changed underneath, while Mimir itself cuts a minor roughly monthly. The weekly stream tells you nothing about direction and will keep dominating the feed by volume.
◆ Prediction
The chart line moving from 6.2.0-weekly to 6.3.0-weekly points at a 6.3.0 chart release carrying Mimir 3.2 once the candidate goes final.
hubVis
0.0ANALYTICS
The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.
◆ Current state
hubVis is the visualization component of the hubverse stack, centred on plot_step_ahead_model_output() for static and interactive forecast plots. Since the stable 0.1.0 in late 2024 it has shipped three patch releases, every one of them a single referenced issue fix. The plotting surface itself has not grown.
◆ Where it's heading
The pattern across all four releases is narrow and reactive: a legend construction fix, a palette assignment fix, and most recently a compatibility change for ggplot2 4.0.0 written to keep working with earlier versions too. Two of the three fixes concern colour and legend handling, which suggests palette assignment is the fragile part of the codebase. As a thin layer over ggplot2 inside a larger stack, the package's release triggers come from below it rather than from its own roadmap.
◆ Prediction
Expect continued single-issue patches driven by upstream ggplot2 changes and by whatever the sibling hubverse packages emit, rather than new plot types.
Alternatives to Grafana Mimir and hubVis
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 Grafana Mimir or hubVis.
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.
OpenCTI
OpenCTI spends a release unblocking queues and hardening upserts
See all Grafana Mimir alternatives → · See all hubVis alternatives →
Recent activity from Grafana Mimir and hubVis
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoGrafana MimirAutomated weekly Helm chart release 6.3.0-weekly.408
- 8d agoGrafana Mimirmimir-distributed-6.2.0-weekly.407: Release mimir-distributed Helm chart 6.2.0-weekly.407 (#16334)
- 15d agoGrafana Mimirmimir-distributed-6.2.0-weekly.406: Release mimir-distributed Helm chart 6.2.0-weekly.406 (#16287)
- 15d agoGrafana MimirMimir 3.2 RC: query engine work and native histogram support
- 1mo agoGrafana Mimirmimir-distributed-6.2.0-weekly.402: Release mimir-distributed Helm chart 6.2.0-weekly.402 (#15973)
- 1mo agoGrafana Mimirmimir-distributed-6.2.0-weekly.401: Release mimir-distributed Helm chart 6.2.0-weekly.401 (#15877)
- 11mo agohubVisCompatibility fix for ggplot2 4.0.0
- 1y agohubVisPalette creation fixed for colour parameters
- 1y agohubVisLegend built after plot so all traces appear
- 1y agohubVisStable release brings group parameter to interactive plots
Frequently asked questions
What is the difference between Grafana Mimir and hubVis?
They serve adjacent needs but don't currently overlap on shipped themes. Grafana Mimir is currently shipping more aggressively (velocity 5.0 vs 0.0), 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 Grafana Mimir better than hubVis?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Grafana Mimir is currently shipping more aggressively (velocity 5.0 vs 0.0), 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 Grafana Mimir?
Top Grafana Mimir alternatives in Analytics are ranked by recent ship velocity. Browse the "Grafana Mimir alternatives" section above for the current picks, or visit /alternatives/grafana-mimir for the full list with editorial commentary on each.
What are the best alternatives to hubVis?
Top hubVis alternatives in Analytics are ranked by recent ship velocity. Browse the "hubVis alternatives" section above for the current picks, or visit /alternatives/hubvis for the full list with editorial commentary on each.