Licensing settled, ApexCharts is back to changing what a chart can take as input.
labelled alternatives
The best labelled alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 19, 2026
Looking for the best alternatives to labelled? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, labelled 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 labelled
The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.
labelled manages variable labels, value labels and user-defined missing values on data imported from Stata, SPSS and SAS, filling the gap between those formats' metadata and R's native types. Recent releases have pushed outward from the core label accessors: survey design objects from the survey package are now supported throughout, look_for() results can be rendered as formatted gt tables, and dictionary data frames convert in both directions. Error messaging moved wholesale to cli in 2.14.0.
Velocity 0.0 · Last update 1d ago
Top 12 alternatives to labelled
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.
labelled 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 |
|---|---|---|---|---|
| labelled (baseline) | 0.0 | 0 | survey-datadata-labelsstata-spss | — |
| 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 labelled 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 labelled'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 labelled leans on survey data, data labels and stata spss, ApexCharts focuses on charting, raw data input and chart morphing.
Over the last 30 days ApexCharts has been shipping faster than labelled — a point in its favour if release momentum matters to you.
Full ApexCharts trajectory → · Compare labelled 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 labelled'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 labelled leans on survey data, data labels and stata spss, Usermaven focuses on product analytics, reverse etl and mcp.
Over the last 30 days Usermaven has been shipping faster than labelled — a point in its favour if release momentum matters to you.
Full Usermaven trajectory → · Compare labelled 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 labelled's 0, most recently “Custom Domains in Plotly Cloud”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where labelled leans on survey data, data labels and stata spss, Plotly focuses on ai app building, plotly cloud and metered billing.
Over the last 30 days Plotly has been shipping faster than labelled — 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 labelled'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 labelled leans on survey data, data labels and stata spss, Rho focuses on r ide, ai agents and model routing.
Over the last 30 days Rho has been shipping faster than labelled — 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 labelled leans on survey data, data labels and stata spss, OpenCTI focuses on threat intelligence, stix and data model.
OpenCTI and labelled have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
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 labelled'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 labelled leans on survey data, data labels and stata spss, OpenObserve focuses on observability, synthetic monitoring and mcp.
Over the last 30 days OpenObserve has been shipping faster than labelled — a point in its favour if release momentum matters to you.
Full OpenObserve trajectory → · Compare labelled 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 labelled's 0, most recently “Skills in AgencyAI”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where labelled leans on survey data, data labels and stata spss, AgencyAnalytics focuses on agency reporting, ai assistant and scheduling.
Over the last 30 days AgencyAnalytics has been shipping faster than labelled — a point in its favour if release momentum matters to you.
Full AgencyAnalytics trajectory → · Compare labelled 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 labelled leans on survey data, data labels and stata spss, silx focuses on scientific computing, data visualization and synchrotron.
silx and labelled 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 labelled leans on survey data, data labels and stata spss, Grafana Mimir focuses on metrics, prometheus compatible and helm.
Grafana Mimir and labelled 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 labelled 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 labelled leans on survey data, data labels and stata spss, Dovetail focuses on digital twins, chat and agents.
Dovetail and labelled have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
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 labelled leans on survey data, data labels and stata spss, TimescaleDB focuses on time series, postgresql and columnstore.
TimescaleDB and labelled 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 labelled 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 labelled leans on survey data, data labels and stata spss, Holistics focuses on business intelligence, ai governance and analytics as code.
Holistics and labelled 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 labelled vs Holistics →
Frequently asked questions
What are the best alternatives to labelled?
The top labelled alternatives we currently track in analytics tools are ApexCharts, Usermaven, Plotly, Rho, OpenCTI, ranked by recent ship velocity.
How is this list of labelled alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare labelled directly with one of these alternatives?
Yes — every card has a "Compare with labelled" link to a side-by-side /compare page.