A growing toolkit of free, browser-based utilities for product managers, analysts, and developers. Run experiments, prioritize features, measure significance, analyze data and many more - all locally, with zero setup.
Five tools live today, with new utilities shipping continuously. Each one solves a specific problem developers, analysts, and PMs hit weekly - and skips the bloat you'd get from a SaaS dashboard.
Statistical significance for randomized experiments - p-values, power analysis, and Bonferroni for multi-variant.
Before/after analysis for changes you can't randomize - redesigns, brand campaigns, migrations.
Complete JSON workbench - format, auto-fix, diff, API cleaner, log analyzer, request converter.
Score & rank features by Reach × Impact × Confidence ÷ Effort. Multi-board, sensitivity, shareable URLs.
Drop a CSV, get a dashboard. Auto-detected charts, calculated fields, and shareable links - all in your browser.
Datapad isn't a single product - it's a growing platform of free utilities. We ship new tools based on what developers, analysts, and PMs ask for. Have an idea? Tell us what to build next.
Suggest a toolEverything you need to know about how Datapad's tools work.
Yes. Every Datapad tool is completely free - no sign-up, no paywall, no premium tier, no usage limits. Every feature is available to every user, forever.
No. All computation runs entirely in your browser via JavaScript. Your data never leaves your device - zero analytics or telemetry calls on tool inputs. Safe for sensitive payloads including production secrets, customer PII, and internal API responses.
Five tools are live today: A/B Test Calculator, Pre/Post Impact Analyzer, JSON Studio, RICE Calculator, and Glimpse (drop a CSV, get a dashboard). The toolkit is actively growing - new developer, analyst, and PM utilities ship regularly. Funnel Analyzer, Survey Analyzer, CSV Studio, and Sample Size Planner are next in queue.
A/B tests use concurrent randomized groups and can establish causation. Pre/post analysis compares sequential periods - it shows a change occurred, but cannot prove your intervention caused it. External factors like seasonality may be responsible. Use A/B testing when you can randomize traffic; use pre/post for site-wide changes.
Three reasons: privacy (your data never leaves your device, safe for sensitive payloads), speed (no network round-trips), and reliability (works offline once loaded). It also means we don't need to charge subscription fees or run servers - so the tools stay free.
Yes - please. We ship tools based on what developers, analysts, and PMs actually ask for. Email hello.datapad@gmail.com or use the feedback form. Most-requested utilities get prioritized for the next release.
Datapad is a growing platform of free, browser-based utilities for developers, analysts, and product managers. No cloud, no accounts, no hidden fees - just well-built tools that get out of your way and let you ship faster.
We read everything. Tell us what to fix or what to build - most-requested tools get prioritized for the next release.
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