Licensing settled, ApexCharts is back to changing what a chart can take as input.
mlr3learners alternatives
The best mlr3learners alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 19, 2026
Looking for the best alternatives to mlr3learners? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, mlr3learners shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About mlr3learners
mlr3learners spends its releases absorbing upstream churn
mlr3learners wraps the standard model packages — ranger, xgboost, glmnet, kknn — for mlr3. Its recent history is dominated by upstream events rather than its own plans: kknn was pulled from CRAN and its learners removed in 0.11.0, then restored in 0.12.0 when the package returned. The newest release absorbs glmnet 5.0 while adding a predict_raw flag across all learners and probit support to logistic regression.
Velocity 0.0 · Last update 5d ago
Top 12 alternatives to mlr3learners
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
Rho's release machinery finally produced a stable build — and it shipped no new product.
OpenCTI spends a release unblocking queues and hardening upserts
After its largest release, OpenObserve is patching the seams.
AgencyAnalytics is turning its assistant into scheduled agency staff work, not a chat box.
silx settles into maintenance a release after its PySide6 migration
Mimir's feed is a weekly Helm bot, with the 3.2 candidate the only real release in months
Dovetail spent July opening doors to other tools; August is spent making its own rooms easier to enter.
TimescaleDB is paying down correctness debt in its columnstore query paths.
Holistics is adding governance to the AI layer it spent the summer building.
mlr3learners vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| mlr3learners (baseline) | 0.0 | 0 | mlr3machine-learningr-stats | — |
| ApexCharts | 10.0 | 3 | chartingraw-data-inputchart-morphing | Histogram bins raw samples; charts morph between types |
| Usermaven | 8.8 | 3 | product-analyticsreverse-etlmcp | 🔌 Salesforce, Reverse ETL, and connectors: your stack, connected |
| Plotly | 6.3 | 1 | ai-app-buildingplotly-cloudmetered-billing | Custom Domains in Plotly Cloud |
| Rho | 6.3 | 1 | r-ideai-agentsmodel-routing | Agent conversations and provider-routed models land in Rho |
| OpenCTI | 6.3 | 0 | threat-intelligencestixdata-model | — |
| OpenObserve | 6.3 | 1 | observabilitysynthetic-monitoringmcp | v0.92.0 adds synthetic monitoring, workflows, and AI observability |
| AgencyAnalytics | 6.3 | 1 | agency-reportingai-assistantscheduling | Skills in AgencyAI |
| silx | 5.0 | 0 | scientific-computingdata-visualizationsynchrotron | 3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required |
| Grafana Mimir | 5.0 | 0 | metricsprometheus-compatiblehelm | — |
| Dovetail | 5.0 | 0 | digital twinschatagents | — |
| TimescaleDB | 5.0 | 0 | time-seriespostgresqlcolumnstore | — |
| Holistics | 5.0 | 0 | business-intelligenceai-governanceanalytics-as-code | — |
The 12 best mlr3learners alternatives, in depth
1. ApexCharts · velocity 10.0
Licensing settled, ApexCharts is back to changing what a chart can take as input.
Over the last 30 days ApexCharts shipped 3 meaningful updates vs mlr3learners's 0, most recently “Histogram bins raw samples; charts morph between types”. Its velocity score of 10.0/10 blends that with longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, ApexCharts focuses on charting, raw data input and chart morphing.
Over the last 30 days ApexCharts has been shipping faster than mlr3learners — a point in its favour if release momentum matters to you.
Full ApexCharts trajectory → · Compare mlr3learners vs ApexCharts →
2. Usermaven · velocity 8.8
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
Over the last 30 days Usermaven shipped 3 meaningful updates vs mlr3learners's 0, most recently “🔌 Salesforce, Reverse ETL, and connectors: your stack, connected”. Its velocity score of 8.8/10 blends that with longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, Usermaven focuses on product analytics, reverse etl and mcp.
Over the last 30 days Usermaven has been shipping faster than mlr3learners — a point in its favour if release momentum matters to you.
Full Usermaven trajectory → · Compare mlr3learners vs Usermaven →
3. Plotly · velocity 6.3
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
Over the last 30 days Plotly shipped 1 meaningful update vs mlr3learners's 0, most recently “Custom Domains in Plotly Cloud”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, Plotly focuses on ai app building, plotly cloud and metered billing.
Over the last 30 days Plotly has been shipping faster than mlr3learners — a point in its favour if release momentum matters to you.
4. Rho · velocity 6.3
Rho's release machinery finally produced a stable build — and it shipped no new product.
Over the last 30 days Rho shipped 1 meaningful update vs mlr3learners's 0, most recently “Agent conversations and provider-routed models land in Rho”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, Rho focuses on r ide, ai agents and model routing.
Over the last 30 days Rho has been shipping faster than mlr3learners — a point in its favour if release momentum matters to you.
5. OpenCTI · velocity 6.3
OpenCTI spends a release unblocking queues and hardening upserts.
Its velocity score of 6.3/10 reflects longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, OpenCTI focuses on threat intelligence, stix and data model.
OpenCTI and mlr3learners have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full OpenCTI trajectory → · Compare mlr3learners vs OpenCTI →
6. OpenObserve · velocity 6.3
After its largest release, OpenObserve is patching the seams.
Over the last 30 days OpenObserve shipped 1 meaningful update vs mlr3learners's 0, most recently “v0.92.0 adds synthetic monitoring, workflows, and AI observability”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, OpenObserve focuses on observability, synthetic monitoring and mcp.
Over the last 30 days OpenObserve has been shipping faster than mlr3learners — a point in its favour if release momentum matters to you.
Full OpenObserve trajectory → · Compare mlr3learners vs OpenObserve →
7. AgencyAnalytics · velocity 6.3
AgencyAnalytics is turning its assistant into scheduled agency staff work, not a chat box.
Over the last 30 days AgencyAnalytics shipped 1 meaningful update vs mlr3learners's 0, most recently “Skills in AgencyAI”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, AgencyAnalytics focuses on agency reporting, ai assistant and scheduling.
Over the last 30 days AgencyAnalytics has been shipping faster than mlr3learners — a point in its favour if release momentum matters to you.
Full AgencyAnalytics trajectory → · Compare mlr3learners vs AgencyAnalytics →
8. silx · velocity 5.0
Silx settles into maintenance a release after its PySide6 migration.
Its velocity score of 5.0/10 reflects longer-term release cadence; its most recent meaningful update was “3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required”.
Where mlr3learners leans on mlr3, machine learning and r stats, silx focuses on scientific computing, data visualization and synchrotron.
silx and mlr3learners have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. Grafana Mimir · velocity 5.0
Mimir's feed is a weekly Helm bot, with the 3.2 candidate the only real release in months.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, Grafana Mimir focuses on metrics, prometheus compatible and helm.
Grafana Mimir and mlr3learners have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Grafana Mimir trajectory → · Compare mlr3learners vs Grafana Mimir →
10. Dovetail · velocity 5.0
Dovetail spent July opening doors to other tools; August is spent making its own rooms easier to enter.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, Dovetail focuses on digital twins, chat and agents.
Dovetail and mlr3learners have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Dovetail trajectory → · Compare mlr3learners vs Dovetail →
11. TimescaleDB · velocity 5.0
TimescaleDB is paying down correctness debt in its columnstore query paths.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, TimescaleDB focuses on time series, postgresql and columnstore.
TimescaleDB and mlr3learners have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full TimescaleDB trajectory → · Compare mlr3learners vs TimescaleDB →
12. Holistics · velocity 5.0
Holistics is adding governance to the AI layer it spent the summer building.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where mlr3learners leans on mlr3, machine learning and r stats, Holistics focuses on business intelligence, ai governance and analytics as code.
Holistics and mlr3learners have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Holistics trajectory → · Compare mlr3learners vs Holistics →
Frequently asked questions
What are the best alternatives to mlr3learners?
The top mlr3learners alternatives we currently track in analytics tools are ApexCharts, Usermaven, Plotly, Rho, OpenCTI, ranked by recent ship velocity.
How is this list of mlr3learners alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare mlr3learners directly with one of these alternatives?
Yes — every card has a "Compare with mlr3learners" link to a side-by-side /compare page.