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Comparison · Analytics

Basedash vs TwoSampleMR

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

Basedash vs TwoSampleMR: at a glance

FeatureBasedashTwoSampleMR
SectorAnalyticsAnalytics
Velocity score7.50.0
Sparks · 30d10
Top themesbi, ai-analyst, external-sharing, apimendelian-randomization, genetic-epidemiology, correctness-fixes, opengwas
Last editorial update1h ago4d ago
WebsiteVisit →Visit →

What is Basedash?

Basedash keeps pushing its data out of the workspace — now to people without accounts

Basedash is a BI tool built around an AI data analyst, and the last month has been about getting its output to more places: an API that exposes chat, insights, automations and dashboards; scheduled snapshots to email and Slack; and now a link that opens a live, filterable dashboard for someone with no Basedash account. Alongside that distribution work sits a research-preview agent, Tasks, that reads company data and produces a ranked to-do list. Audit logs, including a record of every query the AI runs, arrived in the same window.

Read the full Basedash trajectory →

What is TwoSampleMR?

The flagship Mendelian randomization package is auditing its own estimators, one bootstrap at a time.

TwoSampleMR is the MRC-IEU package for two-sample Mendelian randomization against OpenGWAS. Its 2026 releases are a sustained correctness review rather than feature work: 0.7.9 fixed bootstrap standard errors in mr_mode() and mr_rucker_bootstrap() that had been inflated since v0.6.30, and repaired two Rucker functions that were returning malformed objects. Point estimates were not affected by the bootstrap bug.

Read the full TwoSampleMR trajectory →

Basedash vs TwoSampleMR: editorial side-by-side

B
Basedash
ANALYTICS
7.5

Basedash keeps pushing its data out of the workspace — now to people without accounts

◆ Current state

Basedash is a BI tool built around an AI data analyst, and the last month has been about getting its output to more places: an API that exposes chat, insights, automations and dashboards; scheduled snapshots to email and Slack; and now a link that opens a live, filterable dashboard for someone with no Basedash account. Alongside that distribution work sits a research-preview agent, Tasks, that reads company data and produces a ranked to-do list. Audit logs, including a record of every query the AI runs, arrived in the same window.

◆ Where it's heading

Two arcs are running in parallel. One narrows the gap between viewing data and acting on it — suggestions before you type a prompt, then Tasks writing the work item and tracking whether the metric moved. The other decouples consumption from seats: API, subscriptions, and public links each reach an audience that never logs in. The interface work (module-anchored sidebar, per-user table sorting that doesn't rewrite the author's SQL) reads as load-bearing for both.

◆ Prediction

Tasks leaving research preview is the release that decides how much of this is real; its value depends entirely on the outcome-tracking loop having run long enough to show whether its recommendations worked. Expect the sharing surface to grow permissions and expiry controls next, since a link that works without an account is the first place governance pressure lands.

T
TwoSampleMR
ANALYTICS
0.0

The flagship Mendelian randomization package is auditing its own estimators, one bootstrap at a time.

◆ Current state

TwoSampleMR is the MRC-IEU package for two-sample Mendelian randomization against OpenGWAS. Its 2026 releases are a sustained correctness review rather than feature work: 0.7.9 fixed bootstrap standard errors in mr_mode() and mr_rucker_bootstrap() that had been inflated since v0.6.30, and repaired two Rucker functions that were returning malformed objects. Point estimates were not affected by the bootstrap bug.

◆ Where it's heading

The pattern across these releases is a package being read line by line — a copy-paste weight vector in ldsc_rg(), chunking that produced zero splits for short SNP lists, penalisation recycled across the wrong SNPs, dead code paths removed, and regression tests added behind each fix. Alongside it runs a mechanical modernization pass: seq_len() for loop indices, tidyr in place of reshape2, current ggplot2 idioms, and the OpenGWAS URL migration. Feature work is limited to forest plot presentation.

◆ Prediction

Expect the audit to continue through the remaining bootstrap and jackknife routines, with releases staying in the 0.7.x patch range and each fix arriving with its own regression test.

Alternatives to Basedash and TwoSampleMR

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 Basedash or TwoSampleMR.

See all Basedash alternatives → · See all TwoSampleMR alternatives →

Recent activity from Basedash and TwoSampleMR

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

  1. 2d agoBasedashIntroducing public sharing: live dashboards for anyone
  2. 5d agoBasedashIntroducing Tasks: your operations, on autopilot
  3. 6d agoBasedashA sidebar that follows what you’re working on
  4. 12d agoBasedashIntroducing Basedash Subscriptions
  5. 13d agoBasedashSort and arrange tables without changing the chart
  6. 19d agoBasedashIntroducing Basedash audit logs
  7. 1mo agoTwoSampleMRBootstrap standard errors corrected in mode and Rucker estimators
  8. 2mo agoTwoSampleMRWrong weight vector and chunking fixes across the estimator set
  9. 2mo agoTwoSampleMRDeprecated ggplot2 idioms and dead code removed
  10. 3mo agoTwoSampleMROpenGWAS URLs migrated and Wald ratio warnings quieted
  11. 4mo agoTwoSampleMRCategorized forest plots aligned with the published figures
  12. 4mo agoTwoSampleMRFurther internal code optimizations

Frequently asked questions

What is the difference between Basedash and TwoSampleMR?

They serve adjacent needs but don't currently overlap on shipped themes. Basedash is currently shipping more aggressively (velocity 7.5 vs 0.0), with 1 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 Basedash better than TwoSampleMR?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Basedash is currently shipping more aggressively (velocity 7.5 vs 0.0), with 1 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 Basedash?

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

What are the best alternatives to TwoSampleMR?

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