ANALYTICS
dbt keeps three maintenance branches alive while Fusion 2.0 crosses into beta.
Alternatives · analytics tools
see alternatives
The best see alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 13, 2026
Looking for the best alternatives to see? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, see 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 see
see grows wherever easystats adds a diagnostic, one plot method at a time.
see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to see
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
Neo4j moves its full graph algorithm catalog onto the free tier and adds attribute-based access control.
ANALYTICS
Fulcrum's mobile train is all Esri migration cleanup, with on-device inference quietly changing format.
ANALYTICS
Reporting features now exist mainly to feed the AI layer sitting on top of them.
ANALYTICS
Countly's LTS line is spending its releases on hardening the surfaces customers extend.
ANALYTICS
Delta Lake's public releases are patch work while Databricks kernel builds fill the feed.
ANALYTICS
Chat is being made legible while the survey-analysis core picks up the fundamentals it lacked.
ANALYTICS
themis is back to adding real resampling algorithms after a documentation-heavy stretch.
ANALYTICS
insight quietly widens the set of model objects the easystats ecosystem can read
ANALYTICS
flexdashboard has slowed to a fix-only trickle since the bslib theming rework
ANALYTICS
finetune tracks tune's evolving contracts more than it advances racing itself
ANALYTICS
embed keeps adding encoding steps while shedding its deep-learning dependencies
see 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 |
|---|---|---|---|---|
| see (baseline) | 0.0 | 0 | reasystatsdata-visualization | — |
| dbt Core | 7.5 | 1 | dbt fusionrust rewritemaintenance branches | dbt Fusion 2.0 reaches its first beta with catalog-free SQL binding |
| Neo4j | 7.5 | 2 | graph-databasegraph-data-sciencefree-tier | Aura Graph Analytics is now available on AuraDB Free |
| Fulcrum | 6.3 | 0 | field-data-collectionesri-arcgisoffline-maps | — |
| AgencyAnalytics | 6.3 | 1 | agency-reportingai-assistantusage-based-pricing | Skills in AgencyAI |
| Countly | 5.0 | 0 | product-analyticsself-hostedsecurity-hardening | — |
| Delta Lake | 5.0 | 0 | lakehousetransaction-logdelta-sharing | — |
| Displayr | 5.0 | 0 | survey-analysisai-transparencychat | — |
| themis | 2.5 | 0 | rtidymodelsclass-imbalance | — |
| insight | 0.0 | 0 | model-introspectioneasystatsbayesian | — |
| flexdashboard | 0.0 | 0 | dashboardsrmarkdownbootstrap | — |
| finetune | 0.0 | 0 | tidymodelshyperparameter-tuningracing | — |
| embed | 0.0 | 0 | feature-engineeringrecipestidymodels | — |
The 12 best see alternatives, in depth
1. dbt Core · velocity 7.5
Dbt keeps three maintenance branches alive while Fusion 2.0 crosses into beta.
Over the last 30 days dbt Core shipped 1 meaningful update vs see's 0, most recently “dbt Fusion 2.0 reaches its first beta with catalog-free SQL binding”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where see leans on r, easystats and data visualization, dbt Core focuses on dbt fusion, rust rewrite and maintenance branches.
Over the last 30 days dbt Core has been shipping faster than see — a point in its favour if release momentum matters to you.
2. Neo4j · velocity 7.5
Neo4j moves its full graph algorithm catalog onto the free tier and adds attribute-based access control.
Over the last 30 days Neo4j shipped 2 meaningful updates vs see's 0, most recently “Aura Graph Analytics is now available on AuraDB Free”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where see leans on r, easystats and data visualization, Neo4j focuses on graph database, graph data science and free tier.
Over the last 30 days Neo4j has been shipping faster than see — a point in its favour if release momentum matters to you.
3. Fulcrum · velocity 6.3
Fulcrum's mobile train is all Esri migration cleanup, with on-device inference quietly changing format.
Its velocity score of 6.3/10 reflects longer-term release cadence.
Where see leans on r, easystats and data visualization, Fulcrum focuses on field data collection, esri arcgis and offline maps.
Fulcrum and see have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. AgencyAnalytics · velocity 6.3
Reporting features now exist mainly to feed the AI layer sitting on top of them.
Over the last 30 days AgencyAnalytics shipped 1 meaningful update vs see's 0, most recently “Skills in AgencyAI”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where see leans on r, easystats and data visualization, AgencyAnalytics focuses on agency reporting, ai assistant and usage based pricing.
Over the last 30 days AgencyAnalytics has been shipping faster than see — a point in its favour if release momentum matters to you.
Full AgencyAnalytics trajectory → · Compare see vs AgencyAnalytics →
5. Countly · velocity 5.0
Countly's LTS line is spending its releases on hardening the surfaces customers extend.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where see leans on r, easystats and data visualization, Countly focuses on product analytics, self hosted and security hardening.
Countly and see have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. Delta Lake · velocity 5.0
Delta Lake's public releases are patch work while Databricks kernel builds fill the feed.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where see leans on r, easystats and data visualization, Delta Lake focuses on lakehouse, transaction log and delta sharing.
Delta Lake and see have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. Displayr · velocity 5.0
Chat is being made legible while the survey-analysis core picks up the fundamentals it lacked.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where see leans on r, easystats and data visualization, Displayr focuses on survey analysis, ai transparency and chat.
Displayr and see have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. themis · velocity 2.5
Themis is back to adding real resampling algorithms after a documentation-heavy stretch.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where see leans on r, easystats and data visualization, themis focuses on r, tidymodels and class imbalance.
themis and see have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. insight · velocity 0.0
Insight quietly widens the set of model objects the easystats ecosystem can read.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where see leans on r, easystats and data visualization, insight focuses on model introspection, easystats and bayesian.
insight and see have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. flexdashboard · velocity 0.0
Flexdashboard has slowed to a fix-only trickle since the bslib theming rework.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where see leans on r, easystats and data visualization, flexdashboard focuses on dashboards, rmarkdown and bootstrap.
flexdashboard and see have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full flexdashboard trajectory → · Compare see vs flexdashboard →
11. finetune · velocity 0.0
Finetune tracks tune's evolving contracts more than it advances racing itself.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where see leans on r, easystats and data visualization, finetune focuses on tidymodels, hyperparameter tuning and racing.
finetune and see have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. embed · velocity 0.0
Embed keeps adding encoding steps while shedding its deep-learning dependencies.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where see leans on r, easystats and data visualization, embed focuses on feature engineering, recipes and tidymodels.
embed and see have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to see?
The top see alternatives we currently track in analytics tools are dbt Core, Neo4j, Fulcrum, AgencyAnalytics, Countly, ranked by recent ship velocity.
How is this list of see alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare see directly with one of these alternatives?
Yes — every card has a "Compare with see" link to a side-by-side /compare page.