← Back to home
Comparison · Analytics

desirability2 vs Grafana Mimir

A side-by-side editorial comparison of desirability2 and Grafana Mimir — release velocity, themes, recent moves, and the top alternatives to consider.

desirability2 vs Grafana Mimir: at a glance

Featuredesirability2Grafana Mimir
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themestidymodels, multi-objective optimization, model selection, desirability functionsmetrics, prometheus-compatible, helm, packaging
Last editorial update5d ago18h ago
WebsiteVisit →Visit →

What is desirability2?

desirability2 is making multi-metric model selection a first-class tidymodels step.

desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.

Read the full desirability2 trajectory →

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.

Read the full Grafana Mimir trajectory →

desirability2 vs Grafana Mimir: editorial side-by-side

D
desirability2
ANALYTICS
0.0

desirability2 is making multi-metric model selection a first-class tidymodels step.

◆ Current state

desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.

◆ Where it's heading

The direction is integration rather than standalone use. Version 0.1.0 added select_best_desirability() and show_best_desirability() to resolve a tuning run against several metrics at once; 0.2.0 exported make_desirability_cols() so other packages can build on it and made data-driven limits the default, removing the need to state ranges by hand. Both releases move work from the user into the package.

◆ Prediction

The exported helper and the developer-facing desirability() API point to adoption by other tidymodels packages as the next step rather than new functionality here.

G
Grafana Mimir
ANALYTICS
5.0

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.

Alternatives to desirability2 and Grafana Mimir

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 desirability2 or Grafana Mimir.

See all desirability2 alternatives → · See all Grafana Mimir alternatives →

Recent activity from desirability2 and Grafana Mimir

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

  1. 2d agoGrafana MimirAutomated weekly Helm chart release 6.3.0-weekly.408
  2. 9d agoGrafana Mimirmimir-distributed-6.2.0-weekly.407: Release mimir-distributed Helm chart 6.2.0-weekly.407 (#16334)
  3. 15d agoGrafana Mimirmimir-distributed-6.2.0-weekly.406: Release mimir-distributed Helm chart 6.2.0-weekly.406 (#16287)
  4. 16d agoGrafana MimirMimir 3.2 RC: query engine work and native histogram support
  5. 1mo agoGrafana Mimirmimir-distributed-6.2.0-weekly.402: Release mimir-distributed Helm chart 6.2.0-weekly.402 (#15973)
  6. 1mo agoGrafana Mimirmimir-distributed-6.2.0-weekly.401: Release mimir-distributed Helm chart 6.2.0-weekly.401 (#15877)
  7. 0y agodesirability2make_desirability_cols() exported; data-driven limits on by default
  8. 1y agodesirability2Desirability-based model selection added for tune
  9. 3y agodesirability2NEWS.md added to track package changes

Frequently asked questions

What is the difference between desirability2 and Grafana Mimir?

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 desirability2 better than Grafana Mimir?

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 desirability2?

Top desirability2 alternatives in Analytics are ranked by recent ship velocity. Browse the "desirability2 alternatives" section above for the current picks, or visit /alternatives/desirability2 for the full list with editorial commentary on each.

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.